Academic literature on the topic 'Informetrics'
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Journal articles on the topic "Informetrics"
Zhao, Rongying, Fengjiao Guo, and Zhuheng Fu. "Investigation and analysis of Informetrics curriculum education in China." Library Hi Tech 34, no. 3 (September 19, 2016): 539–48. http://dx.doi.org/10.1108/lht-08-2015-0080.
Full textLazarev, Vladimir. "Bibliometrics, Scientometrics and Informetrics. Part 3. Object (Ending)." Science Management: Theory and Practice 3, no. 2 (June 30, 2021): 99–136. http://dx.doi.org/10.19181/smtp.2021.3.2.5.
Full textBurrell, Quentin L. "Extending Lotkaian informetrics." Information Processing & Management 44, no. 5 (September 2008): 1794–807. http://dx.doi.org/10.1016/j.ipm.2008.03.002.
Full textLazarev, Vladimir. "Bibliometrics, scientometrics and informetrics. Part 2. Object." Science Management: Theory And Practice 3, no. 1 (March 25, 2021): 80–105. http://dx.doi.org/10.19181/smtp.2021.3.1.5.
Full textSedighi, Mehri. "Application of word co-occurrence analysis method in mapping of the scientific fields (case study: the field of Informetrics)." Library Review 65, no. 1/2 (February 1, 2016): 52–64. http://dx.doi.org/10.1108/lr-07-2015-0075.
Full textLazarev, Vladimir. "Bibliometrics, scientometrics and informetrics. Part 1. Emergence and background." Science Management: Theory and Practice 2, no. 4 (December 23, 2020): 133–63. http://dx.doi.org/10.19181/smtp.2020.2.4.6.
Full textKokowski, Michał. "Scientometric, bibliometric and informetric bibliography (Selection)." Studia Historiae Scientiarum 14 (May 27, 2015): 185–266. http://dx.doi.org/10.4467/23921749pkhn_pau.16.009.5265.
Full textTague-Sutcliffe, Jean. "An introduction to informetrics." Information Processing & Management 28, no. 1 (January 1992): 1–3. http://dx.doi.org/10.1016/0306-4573(92)90087-g.
Full textEgghe, Leo. "Type/Token-Taken informetrics." Journal of the American Society for Information Science and Technology 54, no. 7 (2003): 603–10. http://dx.doi.org/10.1002/asi.10247.
Full textLiu, Xiaojuan, Yu Wei, and Zhuojing Zhao. "How researchers view altmetrics: an investigation of ISSI participants." Aslib Journal of Information Management 72, no. 3 (April 23, 2020): 361–78. http://dx.doi.org/10.1108/ajim-07-2019-0165.
Full textDissertations / Theses on the topic "Informetrics"
Zungu, Nkosingiphile Mbusozayo, and 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.
Full textThis 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.
Huang, Zan, Hsinchun Chen, and Daniel Zeng. "Applying Associative Retrieval Techniques to Alleviate the Sparsity Problem in Collaborative Filtering." ACM, 2004. http://hdl.handle.net/10150/105493.
Full textRecommender 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.
White, Howard D., Sebastian K. Boell, Hairong Yu, Mari Davis, Concepción S. Wilson, and 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.
Full textDelsey, Tom. "The Library Catalogue in a Networked Environment." the Library of Congress, 2000. http://hdl.handle.net/10150/106354.
Full textHood, William School of Information Library & 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.
Full textLeydesdorff, 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.
Full textCronin, Blaise, and Lokman I. Meho. "The shifting balance of intellectual trade in information studies." Wiley, 2008. http://hdl.handle.net/10150/105512.
Full textPérez-López, Ana, Mercedes Moneda-Corrochano, and 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.
Full textBagnacani, 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/.
Full textMeho, Lokman I., and 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.
Full textBooks on the topic "Informetrics"
Qiu, Junping, Rongying Zhao, Siluo Yang, and Ke Dong. Informetrics. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4032-0.
Full textMoed, Henk F. Applied Evaluative Informetrics. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60522-7.
Full textEgghe, L. Lectures on informetrics and scientometrics. Bangalore: Sarada Ranganathan Endowment for Library Science, 2000.
Find full textInternational 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.
Find full textDaraio, Cinzia, and Wolfgang Glänzel, eds. 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.
Full textBibliometrics, informetrics, and scientometrics: Opening new vistas of information science. Jaipur: RBSA Publishers, 2006.
Find full textL, Egghe, and Rousseau R, eds. 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.
Find full textEgghe, L. Introduction to informetrics: Quantitative methods in library, documentation, and information science. Amsterdam: Elsevier Science Publishers, 1990.
Find full textInternational Workshop on Webometrics, Informetrics and Scientometrics (2004 Roorkee, India). WIS-2004, International Workshop on Webometrics, Informetrics and Scientometrics, 2-5 March 2004. Edited by Kretchmer Hildrun, Singh, Yogendra, of Indian Institute of Technology, Roorkee, India., Kundra Ramesh, Society for Information Science (India), and Indian Institute of Technology (Roorkee, India). Central Library. Roorkee: Central Library, Indian Institute of Technology, 2004.
Find full textConference, 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.
Find full textBook chapters on the topic "Informetrics"
Qiu, Junping, Rongying Zhao, Siluo Yang, and Ke Dong. "Introduction." In Informetrics, 1–30. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4032-0_1.
Full textQiu, Junping, Rongying Zhao, Siluo Yang, and 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.
Full textQiu, Junping, Rongying Zhao, Siluo Yang, and 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.
Full textQiu, Junping, Rongying Zhao, Siluo Yang, and 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.
Full textQiu, Junping, Rongying Zhao, Siluo Yang, and 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.
Full textQiu, Junping, Rongying Zhao, Siluo Yang, and 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.
Full textQiu, Junping, Rongying Zhao, Siluo Yang, and 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.
Full textQiu, Junping, Rongying Zhao, Siluo Yang, and 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.
Full textQiu, Junping, Rongying Zhao, Siluo Yang, and 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.
Full textQiu, Junping, Rongying Zhao, Siluo Yang, and 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.
Full textConference papers on the topic "Informetrics"
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.
Full textTang, Xiao bo, and 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.
Full textMahalakshmi, G. S., G. Muthu Selvi, and 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.
Full textDong, 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.
Full textChen, Yuan, Chaoqun Ni, Ruimin Ma, and 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.
Full textZhang Xiuqian, Guo Yang, Cao Chen, Hu Yuanjia, and 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.
Full textHuang, Lu, Yihe Zhu, Yi Zhang, Xiao Zhou, and 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.
Full textGagolewski, Marek, and 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.
Full textVillaseñor, Elio, and 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.
Full textCena, Anna, and 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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