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Journal articles on the topic 'Informetrics'

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1

Zhao, Rongying, Fengjiao Guo, and Zhuheng Fu. "Investigation and analysis of Informetrics curriculum education in China." Library Hi Tech 34, no. 3 (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
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2

Lazarev, Vladimir. "Bibliometrics, Scientometrics and Informetrics. Part 3. Object (Ending)." Science Management: Theory and Practice 3, no. 2 (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 inte
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3

Burrell, Quentin L. "Extending Lotkaian informetrics." Information Processing & Management 44, no. 5 (2008): 1794–807. http://dx.doi.org/10.1016/j.ipm.2008.03.002.

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4

Lazarev, Vladimir. "Bibliometrics, scientometrics and informetrics. Part 2. Object." Science Management: Theory And Practice 3, no. 1 (2021): 80–105. http://dx.doi.org/10.19181/smtp.2021.3.1.5.

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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 that there is (at least) the maximum convergence
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5

Sedighi, 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 (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
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6

Lazarev, Vladimir. "Bibliometrics, scientometrics and informetrics. Part 1. Emergence and background." Science Management: Theory and Practice 2, no. 4 (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
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7

Kokowski, 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.

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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 inseparab
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8

Egghe, 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.

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9

Tague-Sutcliffe, Jean. "An introduction to informetrics." Information Processing & Management 28, no. 1 (1992): 1–3. http://dx.doi.org/10.1016/0306-4573(92)90087-g.

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10

Sedighi, Mehri. "Using of co-word analysis method in mapping of the structure of scientific fields(case study: The field of Informetrics)." Iranian Journal of Information Processing & Management 30, no. 2 (2015): 373–96. https://doi.org/10.5281/zenodo.14036052.

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Based on the co-occurrence analysis method, the scientific fields can be extracted and the relationships between them can be detected directly from their subject content. With this view, the aim of this study is to determine of the subfields of informetrics and the relationships between of these subfields, and thus to investigate the efficiency of this method and its application in mapping of the structure of scientific fields.This is an applied study using scientometrics, co-word analysis and network analysis methods. in order to determine the main concepts in the field of informetrics, all t
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11

Liu, Xiaojuan, Yu Wei, and Zhuojing Zhao. "How researchers view altmetrics: an investigation of ISSI participants." Aslib Journal of Information Management 72, no. 3 (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 diffe
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12

Egghe, L. "Five years “Journal of Informetrics”." Journal of Informetrics 6, no. 3 (2012): 422–26. http://dx.doi.org/10.1016/j.joi.2012.02.003.

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13

Bornmann, Lutz, and Hans-Dieter Daniel. "Count regression models in informetrics." Journal of Informetrics 10, no. 1 (2016): 29–30. http://dx.doi.org/10.1016/j.joi.2015.10.003.

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14

Rousseau, R. "Similarities between informetrics and econometrics." Scientometrics 30, no. 2-3 (1994): 385–87. http://dx.doi.org/10.1007/bf02018108.

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15

P, Chellappandi, and S. Vijayakumar C. "Bibliometrics, Scientometrics, Webometrics/ Cybermetrics, Informetrics and Altmetrics - An Emerging Field in Library and Information Science Research." Shanlax International Journal of Education 7, no. 1 (2018): 5–8. https://doi.org/10.5281/zenodo.2529398.

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This Article discusses the features and the use of Metrics such as Bibliometrics, Scientometrics,Webometrics, Informetrics and Altmetrics in the field of Library and Information ScienceResearch at present.
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16

Egghe, Leo. "Positive reinforcement and 3-dimensional informetrics." Scientometrics 60, no. 3 (2004): 497–509. http://dx.doi.org/10.1023/b:scie.0000034390.96418.bf.

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17

Das, Prabir Kumar. "Journal of Informetrics: A Bibliometric Profile." DESIDOC Journal of Library & Information Technology 33, no. 3 (2013): 243–52. http://dx.doi.org/10.14429/djlit.33.3.4610.

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18

Spaan, Jos A. E. "The danger of pseudoscience in Informetrics." Journal of Informetrics 4, no. 3 (2010): 439–40. http://dx.doi.org/10.1016/j.joi.2010.03.010.

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19

Egghe, Leo. "Welcome to the Journal of Informetrics." Journal of Informetrics 1, no. 1 (2007): 1. http://dx.doi.org/10.1016/j.joi.2006.09.003.

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20

Russell, Jane M. "Back to the future for informetrics." Scientometrics 30, no. 2-3 (1994): 407–10. http://dx.doi.org/10.1007/bf02018113.

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21

Wolfram, Dietmar. "Applications Of Informetrics To Information Retrieval Research." Informing Science: The International Journal of an Emerging Transdiscipline 3 (2000): 077–82. http://dx.doi.org/10.28945/581.

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22

Egghe, Leo. "Lotkaian informetrics and applications to social networks." Bulletin of the Belgian Mathematical Society - Simon Stevin 16, no. 4 (2009): 689–703. http://dx.doi.org/10.36045/bbms/1257776242.

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23

Lazarev, Vladimir. "Bibliometrics, scientometrics and informetrics. Part 4. Object." Science Management: Theory and Practice 4, no. 1 (2022): 180–214. http://dx.doi.org/10.19181/smtp.2022.4.1.10.

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A simplified and sometimes vulgar understanding of the role of scientometrics in the management of science 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 the three mentioned “metrics”, this part discusses the representation of their methods. Consideration of the methodological “arsenal” of the three “metrics” made us possible to come to the conclusion that there are no such specific methods in any of them, the p
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24

Wormell, Irene. "Informetrics -- a new area of quantitative studies." Education for Information 18, no. 2-3 (2000): 131–38. http://dx.doi.org/10.3233/efi-2000-182-304.

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25

Tang, Rong. "Applied Informetrics for Information Retrieval Research (review)." portal: Libraries and the Academy 4, no. 3 (2004): 431–32. http://dx.doi.org/10.1353/pla.2004.0056.

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26

Wormell, Irene. "Informetrics: an emerging subdiscipline in information science." Asian Libraries 7, no. 10 (1998): 257–68. http://dx.doi.org/10.1108/10176749810241838.

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27

Rousseau, R. "Category theory and informetrics: Information production processes." Scientometrics 25, no. 1 (1992): 77–87. http://dx.doi.org/10.1007/bf02016848.

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28

Egghe, L. "Generalized transfer principles in econometrics and informetrics." Scientometrics 25, no. 1 (1992): 167–91. http://dx.doi.org/10.1007/bf02016853.

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29

Egghe, L. "Bridging the gaps: Conceptual discussions on informetrics." Scientometrics 30, no. 1 (1994): 35–47. http://dx.doi.org/10.1007/bf02017211.

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30

Turner, W. A. "What's in an R: Informetrics or infometrics?" Scientometrics 30, no. 2-3 (1994): 471–80. http://dx.doi.org/10.1007/bf02018127.

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31

Egghe, Leo. "Mathematical informetrics: Hirsch-type equations and bundles." Journal of Informetrics 18, no. 1 (2024): 101479. http://dx.doi.org/10.1016/j.joi.2023.101479.

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32

Bose, Shilpa, and Sasmita Mohanty. "An Informetrics Study on Mapping Digital Talent Acquisition Research Landscape." PaperASIA 40, no. 6b (2024): 318–30. https://doi.org/10.59953/paperasia.v40i6b.95.

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Using the Dimensions database, this article will provide a concise overview of the most recent development in the study of "Talent Acquisition". The purpose of Informetrics analysis and mapping is to shed light on patterns in the international pool of talent. This study is to better understand the development, present trends, and future directions of digital talent acquisition in order to better advise recruiting methods and strategies in a quickly evolving technology environment. The term "Digital Talent Acquisition" produced 3812 results from the desired journals. We imported the Dimensions
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33

Galyavieva, M. S., and A. M. Elizarov. "Informetrics in the World System of Higher Education." Scientific and Technical Information Processing 44, no. 4 (2017): 297–301. http://dx.doi.org/10.3103/s014768821704013x.

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34

Guns, Raf. "The three dimensions of informetrics: a conceptual view." Journal of Documentation 69, no. 2 (2013): 295–308. http://dx.doi.org/10.1108/00220411311300084.

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35

McKiernan, Gerry. "Bibliometrics, Cybermetrics, Informetrics, and Scientometrics Sites and Sources." Science & Technology Libraries 26, no. 2 (2005): 107–15. http://dx.doi.org/10.1300/j122v26n02_06.

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36

Daraio, Cinzia, Henk F. Moed, Giuseppe Catalano, Giancarlo Ruocco, Cassidy R. Sugimoto, and Wolfgang Glänzel. "The 17th International Conference on Scientometrics and Informetrics." Scientometrics 125, no. 2 (2020): 831–34. http://dx.doi.org/10.1007/s11192-020-03768-z.

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37

Das, Anup Kumar. "Understanding Informetrics and Scholarly Communications in a Nutshell." Journal of Scientometric Research 5, no. 2 (2016): 170–72. http://dx.doi.org/10.5530/jscires.5.2.9.

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38

Burrell, Quentin L. "Time-dependent aspects of co-concentration in informetrics." Scientometrics 73, no. 2 (2007): 161–74. http://dx.doi.org/10.1007/s11192-007-1688-x.

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39

Leta, Jacqueline, Birger Larsen, Ronald Rousseau, and Wolfgang Glänzel. "The 12th International conference on scientometrics and informetrics." Scientometrics 83, no. 3 (2010): 603–4. http://dx.doi.org/10.1007/s11192-010-0219-3.

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40

Ocholla, Dennis, Peter Ingwersen, Ed C. M. Noyons, and Wolfgang Glänzel. "The 13th International Conference on Scientometrics and Informetrics." Scientometrics 91, no. 2 (2012): 315–16. http://dx.doi.org/10.1007/s11192-011-0608-2.

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41

Wolfram, Dietmar. "The symbiotic relationship between information retrieval and informetrics." Scientometrics 102, no. 3 (2014): 2201–14. http://dx.doi.org/10.1007/s11192-014-1479-0.

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42

Niemi, Timo, Lasse Hirvonen, and Kalervo Järvelin. "Multidimensional Data Model and Query Language for Informetrics." Journal of the American Society for Information Science and Technology 54, no. 10 (2003): 939–51. http://dx.doi.org/10.1002/asi.10290.

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43

Peters, Isabella, and Judit Bar-Ilan. "Informetrics, bibliometrics, altmetrics: What is it all about?" Proceedings of the American Society for Information Science and Technology 51, no. 1 (2014): 1–4. http://dx.doi.org/10.1002/meet.2014.14505101015.

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44

Markscheffel, B., J. C. Lamirel, and P. K. Jain. "Reflecting on COLLNET 2024 - A legacy for Hildrun Kretschmer : Insights from the 18th International WIS Conference in Strasbourg." COLLNET Journal of Scientometrics and Information Management 18, no. 2 (2024): 113–18. https://doi.org/10.47974/cjsim-2024-report.

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The enchanting city of Strasbourg, known as the “Capitale de Noël” (Capital of Christmas), set the perfect stage for the 18th International Conference on Webometrics, Informetrics, and Scientometrics (WIS) & 23rd COLLNET Meeting. Held from December 12-14, 2024, at the MISHA (Maison Interuniversitaire des Sciences de l’Homme), University of Strasbourg, this hybrid event welcomed global participants both in-person and online.
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45

Yu, Fan, Junping Qiu, and Wen Lou. "Library resources semantization based on resource ontology." Electronic Library 32, no. 3 (2014): 341–62. http://dx.doi.org/10.1108/el-05-2012-0056.

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Purpose – This paper aims to solve the disadvantages of content-based domain ontology (CBDO) and metadata-based domain ontology (MDO) and improve organization and discovery efficiency of library resources by resource ontology (RO). Design/methodology/approach – The paper constructed an RO model. Methods of informetrics are utilized to reveal semantic relationships among library resources. Methods of ontology, ontology-relational database mapping (O-R mapping) and relational database modelling are utilized to construct RO. Take author co-occurrence for example, the paper demonstrated the capabi
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46

Loan, Fayaz Ahmad, and Ufaira Yaseen Shah. "The decay and persistence of web references." Digital Library Perspectives 36, no. 2 (2020): 157–66. http://dx.doi.org/10.1108/dlp-02-2020-0013.

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Purpose The purpose of this study is to identify the persistence and decay of uniform resource locator (URLs) associated with Web references. The decaying of Web references is analyzed in relation to their age, domain, technical errors and error codes. Design/methodology/approach The Web references of the Journal of Informetrics were selected for analysis and interpretation to fulfill the set objectives. The references of all the scholarly articles, excluding editorials and reviews published in the Journal of Informetrics for five years from 2007 to 2011 were recorded in a text file. Later, th
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47

Acker, A. "Basic data." Symposium - International Astronomical Union 180 (1997): 10–17. http://dx.doi.org/10.1017/s0074180900129663.

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Basic data on planetary nebulae concern all the fields related to these objects. As an illustration of the increasing importance of planetary nebulae in large fields of contemporary science, let me note that, in a communication for a conference on “bibliometrics, informetrics and scientometrics”, Bassecoulard and Zitt (1994) chose planetary nebulae as the best example of a complicated network allowing and needing interesting cluster analysis.
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48

Galyavieva, M. S. "On the formation of the concept of informetrics (Review)." Scientific and Technical Information Processing 40, no. 2 (2013): 89–96. http://dx.doi.org/10.3103/s014768821302007x.

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49

Nam, Eunkyung, and Ji-Hong Park. "Factors Influencing Research Collaboration in the Field of Informetrics." Journal of the Korean Society for information Management 31, no. 4 (2014): 201–27. http://dx.doi.org/10.3743/kosim.2014.31.4.201.

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50

Hassanzadeh, Mohammad, and Emran Ghorbani. "User Interaction with Online Information Resources: An Informetrics Approach." International Journal of Computational Linguistics Research 9, no. 4 (2018): 156. http://dx.doi.org/10.6025/jcl/2018/9/4/156-164.

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