Bibliografie tematiche / Informetrics

Letteratura scientifica selezionata sul tema "Informetrics"

Autore: Grafiati
Pubblicato: 4 giugno 2021
Ultima modifica: 11 marzo 2023

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Articoli di riviste sul tema "Informetrics"

1

Zhao, Rongying, Fengjiao Guo e Zhuheng Fu. "Investigation and analysis of Informetrics curriculum education in China". Library Hi Tech 34, n. 3 (19 settembre 2016): 539–48. http://dx.doi.org/10.1108/lht-08-2015-0080.

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Purpose The purpose of this paper is to generalize the teaching characteristics of some typical colleges in China which offer Informetrics courses, and to propose useful suggestions for the course construction of Informetrics through empirical investigation. Design/methodology/approach The statuses of Informetrics curriculum education of the top ten universities in Library and Information Science and Archives Management in Chinese mainland as well as Fu Jen Catholic University in Taiwan have been investigated and analyzed through a network survey and a telephone survey. Wuhan University and Fu Jen Catholic University are considered as the typical examples. Findings The educational development of Informetrics in China has gone through three stages: the initial stage, the developing stage and the improving stage. Based on the empirical investigation and analysis, some meaningful conclusions are drawn concerning the education system, teaching objectives, teaching contents and teaching methods of Informetrics courses. Originality/value This paper provides curricular information about Informetrics courses in China.
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2

Lazarev, Vladimir. "Bibliometrics, Scientometrics and Informetrics. Part 3. Object (Ending)". Science Management: Theory and Practice 3, n. 2 (30 giugno 2021): 99–136. http://dx.doi.org/10.19181/smtp.2021.3.2.5.

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A simplified and sometimes vulgar understanding of the role of scientometrics in science management makes it necessary to better understand its essential characteristics. In this paper, scientometrics is considered in interrelations with bibliometrics and informetrics that are the fields of knowledge closest to it.In relation to bibliometrics, scientometrics and informetrics, this part discusses the representationof their object. Its reinterpretation using the modern broad meaning of the term “document” made us possible to come to the conclusion about (at least) the maximum convergence of interpretations of objects of bibliometrics, scientometrics and informetrics. In any case, such a comparative analysis of objects helps to identify both similarities and differences between these fields of knowledge, which is important, since their awareness is a very obvious initial condition for mutual conceptual enrichment (artificially diverged?) bibliometrics, scientometrics and informetrics with knowledge and concepts.The present, i. e. the third part of the paper provides examples of understanding the objects of bibliometrics, scientometrics, and informetrics using the modern, “broad” meaning of the concept of “document”. It is shown that with the use of this approach, the interpretations of the objects of bibliometrics, scientometrics and informetrics are even closer than with the use of the traditional one. Also, the cognitive capabilities of bibliometrics, scientometrics and informetrics are potentially expanded in this case. The ways of possible further research in this direction are outlined, taking into account the V. S. Stepin’s viewpoints on the subject of research as a concept dependent on the applied methods, and on the empirical object asthe essence allocated in connection with the tasks of cognition.
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Burrell, Quentin L. "Extending Lotkaian informetrics". Information Processing & Management 44, n. 5 (settembre 2008): 1794–807. http://dx.doi.org/10.1016/j.ipm.2008.03.002.

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Lazarev, Vladimir. "Bibliometrics, scientometrics and informetrics. Part 2. Object". Science Management: Theory And Practice 3, n. 1 (25 marzo 2021): 80–105. http://dx.doi.org/10.19181/smtp.2021.3.1.5.

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Abstract (sommario):
A simplified and sometimes vulgar understanding of the role of scientometrics in science management makes it necessary to better understand its essential characteristics. In this paper, scientometrics is considered in interrelations with bibliometrics and informetrics that are the fields of knowledge closest to it.In relation to bibliometrics, scientometrics and informetrics, this part discusses the representationof their object. Its reinterpretation using the modern broad meaning of the term “document” made us possible to come to the conclusion that there is (at least) the maximum convergence of interpretations of objects of bibliometrics, scientometrics and informetrics. In any case, such a comparative analysis of objects helps to identify both similarities and differences between these fields of knowledge, which is important, since their awareness is a very obvious initial condition for mutual conceptual enrichment (artificially diverged?) bibliometrics, scientometrics and informetrics with knowledge and concepts.Part 2 of the present paper provides examples of treating the objects of bibliometrics, scientometricsand informetrics using traditional interpretations of the concept of a “document”, followed by brief a review of the reinterpretation of this concept. However, consideration of the relationship of a “document” and “information” is much more detailed in the present work than it was performed in the author’s previous paper on this topic.
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Sedighi, Mehri. "Application of word co-occurrence analysis method in mapping of the scientific fields (case study: the field of Informetrics)". Library Review 65, n. 1/2 (1 febbraio 2016): 52–64. http://dx.doi.org/10.1108/lr-07-2015-0075.

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Purpose – The purpose of this article is to investigate the use of word co-occurrence analysis method in mapping of the scientific fields with emphasis on the field of Informetrics. Design/methodology/approach – This is an applied study using scientometrics, co-word analysis and network analysis and its steps are summarised as follows: collecting the data related to the Informetrics field indexed in Web of Science (WOS) database, refining and standardising the keywords of the extracted articles from WOS and preparing a selected list of these keywords, drawing the word co-occurrence map in the Informetrics field and analysing of results. Findings – Based on the resulted maps the concepts such as information science, library, bibliometric analysis, innovation and text mining are the most widely used topics in the field of Informetrics. The co-word occurrence maps drawn at different periods show the changes and stabilities in the concepts related to the field of Informetrics. A number of topics such as “bibliometric analysis” are present in all years, whereas others such as “innovation” have disappeared. New topics emerge as a recombination of existing topics and in interaction with new (technological) developments. Originality/value – The results of these analytical studies can be used as a guide for determining research priorities in the scientific fields, and also for planning and management in academic institutions.
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Lazarev, Vladimir. "Bibliometrics, scientometrics and informetrics. Part 1. Emergence and background". Science Management: Theory and Practice 2, n. 4 (23 dicembre 2020): 133–63. http://dx.doi.org/10.19181/smtp.2020.2.4.6.

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A simplified and sometimes vulgar understanding of the role of scientometrics in science management makes it necessary to better understand its essential characteristics. In this paper, scientometrics is considered in interrelations with bibliometrics and informetrics that are the fields of knowledge closest to it. Briefly considered are the published works that mark their emergence and the ones that represent their background; the objects of bibliometrics, scientometrics and informetrics are reinterpreted and the methods are surveyed. The subject of the first part of the present paper is the emergence and background of scientometrics and the related fields of knowledge. The main conclusion is that the methodological proximity of bibliometrics, scientometrics and informetrics borders on their indistinguishability.
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Kokowski, Michał. "Scientometric, bibliometric and informetric bibliography (Selection)". Studia Historiae Scientiarum 14 (27 maggio 2015): 185–266. http://dx.doi.org/10.4467/23921749pkhn_pau.16.009.5265.

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The text presents a selection of bibliography on scientometrics, bibliometrics and informetrics. The bibliography was chosen in the context of the author’s research of: a) the current debate on scientometrics, bibliometrics and informetrics in Poland, b) the history of these disciplines, and c) the history of the science of science. This selection has an important advantage because it includes many publications that a) represent the views both of Polish and foreign authors, b) discuss serious methodological limitations of scientometrics, bibliometrics and informetrics and c) show the inseparable connection between the disciplines and the science of science. This bibliography was already used in two of the author’s articles published in Prace Komisji Historii Nauki PAU, volume 14 (2015).
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Tague-Sutcliffe, Jean. "An introduction to informetrics". Information Processing & Management 28, n. 1 (gennaio 1992): 1–3. http://dx.doi.org/10.1016/0306-4573(92)90087-g.

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Egghe, Leo. "Type/Token-Taken informetrics". Journal of the American Society for Information Science and Technology 54, n. 7 (2003): 603–10. http://dx.doi.org/10.1002/asi.10247.

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Liu, Xiaojuan, Yu Wei e Zhuojing Zhao. "How researchers view altmetrics: an investigation of ISSI participants". Aslib Journal of Information Management 72, n. 3 (23 aprile 2020): 361–78. http://dx.doi.org/10.1108/ajim-07-2019-0165.

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PurposeThe purpose of this study is to explore informetrics researchers' use of social media for academic activities, their attitudes to the applicability of altmetrics in research evaluation, the factors influencing their attitudes, and the main opportunities and weaknesses of using altmetrics.Design/methodology/approachA survey using a questionnaire was conducted with researchers who participated in the 16th International Conference on Scientometrics and Informetrics ISSI 2017 and a sample of 125 respondents was obtained.FindingsProgressively more researchers are using social media for different types of academic activities. The study found that many factors affect informetrics researchers' attitudes in different application scenarios with respect to research evaluation. Researchers who have studied altmetrics and who began using social media platforms recently or frequently have more positive attitudes. Academic users and social users have statistically significantly disparate attitudes toward altmetrics in different disciplines and different application scenarios.Research limitations/implicationsOur study only focused on 125 informetrics researchers, who participated in ISSI 2017. We mainly used the questionnaire method, but did not conduct in-depth interviews with the researcher's views.Originality/valueInformetrics researchers are participants in social media and major researchers of altmetrics. Previous research has examined their use of social media, and this study combines this use of social media with their attitudes to altmetrics to explore the value of altmetrics from a particular perspective. The paper also provides suggestions for the application of altmetrics in research evaluation.
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Tesi sul tema "Informetrics"

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Zungu, Nkosingiphile Mbusozayo, e D. N. Ocholla. "Informetrics Education in Library and Information Science (LIS) Departments in South Africa". Thesis, University of Zululand, 2019. http://hdl.handle.net/10530/1791.

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Dissertation submitted to the Faculty of Arts in accordance with the requirements for the Masters' Degree in Library and Information Science in the Department of Library and Information Studies, at the University of Zululand, 2019.
This research sought to explore informetrics education in Library and Information Science (LIS) departments in South Africa. This study adopted the pragmatic epistemology and pluralistic ontology. The abductive approach was considered appropriate for this study. The employed mixed research methods were survey and content analysis. The survey research methods, through questionnaire, were used to collect data from the LIS heads of departments (HODs) and informetrics lecturers. On the other hand, the content analysis was employed to analyse the content of course outlines. The study‟s population was all LIS departments in South Africa. Nine LIS departments were targeted and responses were received from eight LIS departments. Five of the eight departments were found to offer informetrics education. These were the LIS departments from the University of Cape Town, University of Kwa-Zulu Natal, University of Limpopo, University of Western Cape, and the University of Zululand. The LIS department at the University of Zululand is the only department that offers informetrics education as autonomous module/course in the full programme. Other LIS departments offer it as a chapter/Unit in a module. Three LIS departments (University of Cape Town, University of Limpopo, and University of Western Cape) offer informetrics as module component at a Masters level. The LIS department at the University of Zululand offers informetrics education to level three and four undergraduate students in two programmes- BLIS and BIS. The University of Limpopo also offers it at an undergraduate level (level two, three and honours). The content analysis revealed that the scope of informetrics is broad in the essence that there is no uniformity in the content of informetrics across all LIS departments. The blended learning method is widely used: cased studies, group discussions, and online teaching and learning methods are commonly used for informetrics education. Numerous challenges that surround informetrics education were pointed out. Most of them are linked to the consideration that informetrics is broad, ICT reliant and dynamic. The solutions to the challenges were suggested. The study concluded that there is very limited informetrics education in South Africa. The study recommended that LIS departments create awareness about informetrics education, develop informetrics curricula, provide short courses on informetrics, and keep up with the trends in LIS education internationally.
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Huang, Zan, Hsinchun Chen e Daniel Zeng. "Applying Associative Retrieval Techniques to Alleviate the Sparsity Problem in Collaborative Filtering". ACM, 2004. http://hdl.handle.net/10150/105493.

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Artificial Intelligence Lab, Department of MIS, University of Arizona
Recommender systems are being widely applied in many application settings to suggest products, services, and information items to potential consumers. Collaborative filtering, the most successful recommendation approach, makes recommendations based on past transactions and feedback from consumers sharing similar interests. A major problem limiting the usefulness of collaborative filtering is the sparsity problem, which refers to a situation in which transactional or feedback data is sparse and insufficient to identify similarities in consumer interests. In this article, we propose to deal with this sparsity problem by applying an associative retrieval framework and related spreading activation algorithms to explore transitive associations among consumers through their past transactions and feedback. Such transitive associations are a valuable source of information to help infer consumer interests and can be explored to deal with the sparsity problem. To evaluate the effectiveness of our approach, we have conducted an experimental study using a data set from an online bookstore. We experimented with three spreading activation algorithms including a constrained Leaky Capacitor algorithm, a branch-and-bound serial symbolic search algorithm, and a Hopfield net parallel relaxation search algorithm. These algorithms were compared with several collaborative filtering approaches that do not consider the transitive associations: a simple graph search approach, two variations of the user-based approach, and an item-based approach. Our experimental results indicate that spreading activation-based approaches significantly outperformed the other collaborative filtering methods as measured by recommendation precision, recall, the F-measure, and the rank score.We also observed the over-activation effect of the spreading activation approach, that is, incorporating transitive associations with past transactional data that is not sparse may “dilute” the data used to infer user preferences and lead to degradation in recommendation performance.
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White, Howard D., Sebastian K. Boell, Hairong Yu, Mari Davis, Concepción S. Wilson e Fletcher T. H. Cole. "Libcitations: A Measure for Comparative Assessment of Book Publications in the Humanities and Social Sciences". H. W. Wilson, 2009. http://hdl.handle.net/10150/105823.

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Bibliometric measures for evaluating research units in the book-oriented humanities and social sciences are underdeveloped relative to those available for journal-oriented science and technology. We therefore present a new measure designed for book-oriented fields: the â libcitation count.â This is a count of the libraries holding a given book, as reported in a national or international union catalog. As librarians decide what to acquire for the audiences they serve, they jointly constitute an instrument for gauging the cultural impact of books. Their decisions are informed by knowledge not only of audiences but also of the book world, e.g., the reputations of authors and the prestige of publishers. From libcitation counts, measures can be derived for comparing research units. Here, we imagine a matchup between the departments of history, philosophy, and political science at the University of New South Wales and the University of Sydney in Australia. We chose the 12 books from each department that had thehighest libcitation counts in the Libraries Australia union catalog during 2000â 2006. We present each bookâ s raw libcitation count, its rank within its LC class, and its LC-class normalized libcitation score. The latter is patterned on the item-oriented field normalized citation score used in evaluative bibliometrics. Summary statistics based on these measures allow the departments to be compared for cultural impact. Our work has implications for programs such as Excellence in Research for Australia and the Research Assessment Exercise in the United Kingdom. It also has implications for data mining in OCLCâ s WorldCat.
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Delsey, Tom. "The Library Catalogue in a Networked Environment". the Library of Congress, 2000. http://hdl.handle.net/10150/106354.

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This paper provides an overview of how technology has changed the relationships between the library catalogue, the catalogue user, alternative sources of bibliographic data, and the resources described in the catalogue. It looks--from a technical perspective--at what those changes mean for the way we support various interfaces to the catalogue, and it highlights changes in approach that will be needed in order to maintain and enhance the effectiveness of those interfaces in an evolving networked environment.
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Hood, William School of Information Library &amp Archive Studies UNSW. "An informetric study of the distribution of bibliographic records in online databases: a case study using the literature of Fuzzy Set Theory (1965-1993)". Awarded by:University of New South Wales. School of Information Library and Archive Studies, 1999. http://handle.unsw.edu.au/1959.4/18184.

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This study investigated the distribution of bibliographic records amongst online bibliographic databases. The topic of Fuzzy Set Theory over the period of 1965 to 1993 was chosen to provide the case study for this investigation. From the DIALOG database host, searches were conducted on 114 databases to determine the number of journal article records relating to the topic of Fuzzy Sets. Both the number of records in each database, as well as the overlap of coverage between the databases were calculated. Six counting techniques were developed to allocate records to databases based on different methods for handling records that were duplicated between databases. When duplicate records are included, the top database accounts for 19% of the records; when duplicates are removed, the top database was found to account for 37% of the records. The distribution of records in databases was found to conform to the Bradford-Zipf hyperbolic distribution. Various other analyses were undertaken including: the duplicate records themselves, the total size of the DIALOG database system over time and the density of Fuzzy Set records in databases over time. A secondary aim of this study was to perform an informetric study on the literature of Fuzzy Set Theory itself. Results obtained include an analysis of the growth of the Fuzzy Set literature, an analysis of the journals covering the topic of Fuzzy Sets, an analysis of the terminology used in describing topics related to Fuzzy Sets. Also, the Ulrich's database was used to provide a subject classification of the journals to analyse the diffusion of the topic of Fuzzy Sets into other disciplines. Apart from the discipline of mathematics, the top disciplines into which Fuzzy Sets have diffused were found to be applied physics, systems and computing. The third aim of the thesis was to refine and develop the methodology used to perform large scale informetric studies using data from a variety of online bibliographic databases. Commercially available software was used wherever possible, but where this was not possible or infeasible, custom written programs were developed to perform various steps in the methodology.
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Leydesdorff, Loet. ""While a Storm is Raging on the Open Sea": Regional Development in a Knowledge-based Economy". Universal Publishers, 2006. http://hdl.handle.net/10150/105386.

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This is chapter 1 of the book (first 25 pages of a book with 392 pages). How can an economy based on something as volatile as knowledge be sustained? The urgency of improving our understanding of a knowledge-based economy provides the context and necessity of this study. In a previous study entitled A Sociological Theory of Communications: The Self-Organization of the Knowledge-based Society (2001) the author specified knowledge-based systems from a sociological perspective. In this book, he takes this theory one step further and demonstrates how the knowledge base of an economic system can be operationalized, both in terms of measurement and by providing simulation models. Loet Leydesdorff (Ph.D. Sociology, M.A. Philosophy, and M.Sc. Biochemistry) reads Science and Technology Dynamics at the Amsterdam School of Communications Research (ASCoR), University of Amsterdam. He has published extensively in science and technology studies about the Triple Helix of university-industry-government relations, scientometrics, systems theory, social network analysis, and the sociology of innovation. He received the Derek de Solla Price Award for Scientometrics and Informetrics in 2003. In 2005, he held â The City of Lausanneâ Honor Chair at the School of Economics, Université de Lausanne, Switzerland. This interdisciplinary study provides both models of the knowledge base of an economy and instruments for its measurement, as applied to the German and Dutch economies in terms of regional and sectorial differences. The simulations introduce a set of algorithms for modeling various forms of anticipation in social networks. The knowledge base of an economy can be specified as a strongly anticipatory dynamic that operates at the supra-individual level.
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Cronin, Blaise, e Lokman I. Meho. "The shifting balance of intellectual trade in information studies". Wiley, 2008. http://hdl.handle.net/10150/105512.

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The authors describe a large-scale, longitudinal citation analysis of intellectual trading between information studies and cognate disciplines. The results of their investigation reveal the extent to which information studies draws on and, in turn, contributes to the ideational substrates of other academic domains. Their data show that the field has become a more successful exporter of ideas as well as less introverted than was previously the case. In the last decade, information studies has begun to contribute significantly to the literatures of such disciplines as computer science and engineering on the one hand and business and management on the other, while also drawing more heavily on those same literatures.
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Pérez-López, Ana, Mercedes Moneda-Corrochano e Angel Moros-Ramirez. "Application of the Cantor Set Theory in making Decisions about the Collections Development". Ergon Verlag, 2002. http://hdl.handle.net/10150/105845.

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[English abstract] The procedures by which library collections can be evaluated are quite diverse, and some are rather complex. The Cantor Set Theory is applied with a structuralist approach as a methodological aid to decision-making about the collections development. The methodology suggested here makes use of local holdings information based on an evaluative study of the Spanish university library collections.
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Bagnacani, Andrea. "Linked Data e bibliometriche: un indice di multidisciplinarieta nel Semantic Publishing". Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/6722/.

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Nel presente lavoro si introduce un nuovo indice per la valutazione dei prodotti della ricerca: l'indice di multidisciplinarieta`. Questa nuova metrica puo` essere un interessante parametro di valutazione: il panorama degli studi multidisciplinari e` vasto ed eterogeneo, ed all'interno di questo sono richieste necessarie competenze trasversali. Le attuali metriche adottate nella valutazione di un accademico, di un journal, o di una conferenza non tengono conto di queste situazioni intermedie, e limitano la loro valutazione dell'impatto al semplice conteggio delle citazioni ricevute. Il risultato di tale valutazione consiste in un valore dell'impatto della ricerca senza una connotazione della direzione e della rilevanza di questa nel contesto delle altre discipline. L'indice di multidisciplinarieta` proposto si integrerebbe allora all'interno dell'attuale panorama delle metriche di valutazione della ricerca, offrendo -accanto ad una quantificazione dell'impatto- una quantificazione della varieta` dei contesti disciplinari nei quali si inserisce.
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Meho, Lokman I., e Kristina M. Spurgin. "Ranking the Research Productivity of LIS Faculty and Schools: An Evaluation of Data Sources and Research Methods". Wiley, 2005. http://hdl.handle.net/10150/105802.

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This study evaluates the data sources and research methods used in earlier studies to rank the research productivity of Library and Information Science (LIS) faculty and schools. In doing so, the study identifies both tools and methods that generate more accurate publication count rankings as well as databases that should be taken into consideration when conducting comprehensive searches in the literature for research and curricular needs. With a list of 2,625 items published between 1982 and 2002 by 68 faculty members of 18 American Library Associationâ (ALA-) accredited LIS schools, hundreds of databases were searched. Results show that there are only 10 databases that provide significant coverage of the LIS indexed literature. Results also show that restricting the data sources to one, two, or even three databases leads to inaccurate rankings and erroneous conclusions. Because no database provides comprehensive coverage of the LIS literature, researchers must rely on a wide range of disciplinary and multidisciplinary databases for ranking and other research purposes. The study answers such questions as the following: Is the Association of Library and Information Science Educationâ s (ALISEâ s) directory of members a reliable tool to identify a complete list of faculty members at LIS schools? How many and which databases are needed in a multifile search to arrive at accurate publication count rankings? What coverage will be achieved using a certain number of databases? Which research areas are well covered by which databases? What alternative methods and tools are available to supplement gaps among databases? Did coverage performance of databases change over time? What counting method should be used when determining what and how many items each LIS faculty and school has published? The authors recommend advanced analysis of research productivity to provide a more detailed assessment of research productivity of authors and programs.
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Libri sul tema "Informetrics"

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Qiu, Junping, Rongying Zhao, Siluo Yang e Ke Dong. Informetrics. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4032-0.

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Moed, Henk F. Applied Evaluative Informetrics. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60522-7.

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Egghe, L. Lectures on informetrics and scientometrics. Bangalore: Sarada Ranganathan Endowment for Library Science, 2000.

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International Conference on Informetrics (3rd 1991 Bangalore, India). Informetrics 91: Selected papers from the third International Conference on Informetrics, 9-12 August, 1991, Bangalore. Bangalore: Sarada Ranganathan Endowment for Library Science, 1992.

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Daraio, Cinzia, e Wolfgang Glänzel, a cura di. Evaluative Informetrics: The Art of Metrics-Based Research Assessment. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47665-6.

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Bibliometrics, informetrics, and scientometrics: Opening new vistas of information science. Jaipur: RBSA Publishers, 2006.

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L, Egghe, e Rousseau R, a cura di. Informetrics 89/90: Selection of papers submitted for the second International Conference on Bibliometrics, Scientometrics, and Informetrics, London, Ontario, Canada, 5-7 July 1989. Amsterdam: Elsevier, 1990.

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Egghe, L. Introduction to informetrics: Quantitative methods in library, documentation, and information science. Amsterdam: Elsevier Science Publishers, 1990.

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International Workshop on Webometrics, Informetrics and Scientometrics (2004 Roorkee, India). WIS-2004, International Workshop on Webometrics, Informetrics and Scientometrics, 2-5 March 2004. A cura di Kretchmer Hildrun, Singh, Yogendra, of Indian Institute of Technology, Roorkee, India., Kundra Ramesh, Society for Information Science (India) e Indian Institute of Technology (Roorkee, India). Central Library. Roorkee: Central Library, Indian Institute of Technology, 2004.

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Conference, International Society for Scientometrics and Informetrics. Proceedings of the Seventh International Conference of the International Society for Scientometrics and Informetrics. Colima, Mexico: Universidad de Colima, 1999.

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Capitoli di libri sul tema "Informetrics"

1

Qiu, Junping, Rongying Zhao, Siluo Yang e Ke Dong. "Introduction". In Informetrics, 1–30. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4032-0_1.

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Qiu, Junping, Rongying Zhao, Siluo Yang e Ke Dong. "Application of Informetrics in Information Resource Management and Research". In Informetrics, 337–76. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4032-0_10.

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Qiu, Junping, Rongying Zhao, Siluo Yang e Ke Dong. "Application of Informetrics in Science and Technology Management and Forecasting". In Informetrics, 377–430. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4032-0_11.

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4

Qiu, Junping, Rongying Zhao, Siluo Yang e Ke Dong. "Literature Information Growth Law". In Informetrics, 31–60. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4032-0_2.

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5

Qiu, Junping, Rongying Zhao, Siluo Yang e Ke Dong. "Literature Information Obsolescence Law". In Informetrics, 61–88. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4032-0_3.

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Qiu, Junping, Rongying Zhao, Siluo Yang e Ke Dong. "Concentration and Scattering Distribution of Literature Information: Bradford’s Law". In Informetrics, 89–119. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4032-0_4.

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Qiu, Junping, Rongying Zhao, Siluo Yang e Ke Dong. "Word Frequency Distribution of Literature Information: Zipf’s Law". In Informetrics, 121–43. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4032-0_5.

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8

Qiu, Junping, Rongying Zhao, Siluo Yang e Ke Dong. "Author Distribution of Literature Information: Lotka’s Law". In Informetrics, 145–83. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4032-0_6.

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9

Qiu, Junping, Rongying Zhao, Siluo Yang e Ke Dong. "Statistical Analysis Method for Literature Information". In Informetrics, 185–206. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4032-0_7.

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Qiu, Junping, Rongying Zhao, Siluo Yang e Ke Dong. "Methods of Citation Analysis". In Informetrics, 207–309. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4032-0_8.

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Atti di convegni sul tema "Informetrics"

1

Papic, A. "Informetrics: The development, conditions and perspectives". In 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). IEEE, 2017. http://dx.doi.org/10.23919/mipro.2017.7973513.

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2

Tang, Xiao bo, e Hua Hu. "Social Media Research Analysis of China Based on Informetrics". In 2013 International Conference on Advanced Computer Science and Electronics Information. Paris, France: Atlantis Press, 2013. http://dx.doi.org/10.2991/icacsei.2013.164.

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3

Mahalakshmi, G. S., G. Muthu Selvi e S. Sendhilkumar. "A Bibliometric Analysis of Journal of Informetrics – A Decade Study". In 2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM). IEEE, 2017. http://dx.doi.org/10.1109/icrtccm.2017.22.

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4

Dong, Ning. "Analysis on Hotspots of International Scientific Data Management and Sharing Based on Informetrics Atlas". In 2019 10th International Conference on Information Technology in Medicine and Education (ITME). IEEE, 2019. http://dx.doi.org/10.1109/itme.2019.00142.

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5

Chen, Yuan, Chaoqun Ni, Ruimin Ma e Zunyan Xiong. "Mining Core Group from Network Community: An Empirical Study on DONEWS Based on SNA and Informetrics". In 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2008. http://dx.doi.org/10.1109/wicom.2008.2601.

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6

Zhang Xiuqian, Guo Yang, Cao Chen, Hu Yuanjia e Wang Yitao. "R&D collaboration networks of Chinese universities in medical field: An empirical analysis based on informetrics". In 2011 International Symposium on Information Technology in Medicine and Education (ITME 2011). IEEE, 2011. http://dx.doi.org/10.1109/itime.2011.6132119.

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7

Huang, Lu, Yihe Zhu, Yi Zhang, Xiao Zhou e Xiang Jia. "A Link Prediction-Based Method for Identifying Potential Cooperation Partners: A Case Study on Four Journals of Informetrics". In 2018 Portland International Conference on Management of Engineering and Technology (PICMET). IEEE, 2018. http://dx.doi.org/10.23919/picmet.2018.8481974.

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8

Gagolewski, Marek, e Jan Lasek. "Learning experts’ preferences from informetric data". In 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15). Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/ifsa-eusflat-15.2015.70.

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9

Villaseñor, Elio, e Hugo Estrada. "Informetric mapping of "big data" in FI-WARE". In the 15th Annual International Conference. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2612733.2619954.

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10

Cena, Anna, e Marek Gagolewski. "A K-means-like algorithm for informetric data clustering". In 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15). Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/ifsa-eusflat-15.2015.77.

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