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iMetrics: the development of the discipline with many names

Author

Listed:
  • Daria Maltseva

    (National Research University Higher School of Economics)

  • Vladimir Batagelj

    (National Research University Higher School of Economics
    Institute of Mathematics, Physics and Mechanics
    University of Primorska, Andrej Marušič Institute)

Abstract

Different research traditions have developed over time to study the quantitative aspects of information and knowledge production, such as scientometrics, bibliometrics, librametrics, informetrics, cybermetrics, webometrics, or altmetrics. These information metrics, or iMetrics, as they were labeled by Milojević and Leydesdorff in Scientometrics 95(1):141–157, 2013, are unified by the usage of quantitative data analysis, applying various statistical methods and techniques and are often used to supplement and complement each other. Representing different research traditions, they jointly form a common research field, a “discipline with many names”. In this article, we look at the development of iMetrics field and its evolution over time using bibliometric network analysis and identify its common basis, formed by the most important publications, journals, scholars and topics. The dataset consists of articles from the Web of Science database (26,414 records with complete descriptions). Analyzing the citation network, we evaluate the field’s growth and identify the most cited works. Using the Search path count (SPC) approach, we extract the Main path, Key routes paths, and Link islands in the citation network. The results show that in the last forty years the number of published papers increased, and it doubles every 8 years; the number of single author papers dropped from 50 to 10 %, and the number of papers authored by 3 or more authors is increasing. We make the conclusions about the field’s development and its current state. We also present the main authors, journals and keywords from the field, which form its common basis.

Suggested Citation

  • Daria Maltseva & Vladimir Batagelj, 2020. "iMetrics: the development of the discipline with many names," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 313-359, October.
    • Handle: RePEc:spr:scient:v:125:y:2020:i:1:d:10.1007_s11192-020-03604-4
    DOI: 10.1007/s11192-020-03604-4
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    References listed on IDEAS

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    1. Staša Milojević & Cassidy R. Sugimoto & Erjia Yan & Ying Ding, 2011. "The cognitive structure of Library and Information Science: Analysis of article title words," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(10), pages 1933-1953, October.
    2. Peter van den Besselaar & Gaston Heimeriks, 2006. "Mapping research topics using word-reference co-occurrences: A method and an exploratory case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 377-393, September.
    3. Daria Maltseva & Vladimir Batagelj, 2019. "Social network analysis as a field of invasions: bibliographic approach to study SNA development," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 1085-1128, November.
    4. Anne-Wil Harzing, 2015. "Health warning: might contain multiple personalities—the problem of homonyms in Thomson Reuters Essential Science Indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2259-2270, December.
    5. Thomas E. Nisonger, 1999. "JASIS and library and information science journal rankings: A review and analysis of the last half‐century," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 50(11), pages 1004-1019.
    6. Vladimir Batagelj & Anuška Ferligoj & Flaminio Squazzoni, 2017. "The emergence of a field: a network analysis of research on peer review," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 503-532, October.
    7. John S. Liu & Louis Y.Y. Lu, 2012. "An integrated approach for main path analysis: Development of the Hirsch index as an example," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(3), pages 528-542, March.
    8. Stephen P. Harter & Patricia A. Hooten, 1992. "Information science and scientists: JASIS, 1972–1990," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 43(9), pages 583-593, October.
    9. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    10. Loet Leydesdorff, 2007. "Mapping interdisciplinarity at the interfaces between the Science Citation Index and the Social Science Citation Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(3), pages 391-405, June.
    11. John S. Liu & Louis Y.Y. Lu, 2012. "An integrated approach for main path analysis: Development of the Hirsch index as an example," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(3), pages 528-542, March.
    12. William W. Hood & Concepción S. Wilson, 2001. "The Literature of Bibliometrics, Scientometrics, and Informetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 52(2), pages 291-314, October.
    13. Staša Milojević & Loet Leydesdorff, 2013. "Information metrics (iMetrics): a research specialty with a socio-cognitive identity?," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 141-157, April.
    14. Dangzhi Zhao & Andreas Strotmann, 2008. "Evolution of research activities and intellectual influences in information science 1996–2005: Introducing author bibliographic‐coupling analysis," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(13), pages 2070-2086, November.
    15. Lennart Björneborn & Peter Ingwersen, 2001. "Perspective of webometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(1), pages 65-82, January.
    16. Peter van den Besselaar, 2000. "Communication between Science and Technology Studies Journals: A Case Study in Differentiation and Integration in Scientific Fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(2), pages 169-193, February.
    17. Staša Milojević & Cassidy R. Sugimoto & Erjia Yan & Ying Ding, 2011. "The cognitive structure of Library and Information Science: Analysis of article title words," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(10), pages 1933-1953, October.
    18. Vladimir Batagelj & Monika Cerinšek, 2013. "On bibliographic networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 845-864, September.
    19. Olle Persson, 1994. "The intellectual base and research fronts of JASIS 1986–1990," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 45(1), pages 31-38, January.
    20. Ben‐Ami Lipetz, 1999. "Aspects of JASIS authorship through five decades," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 50(11), pages 994-1003.
    21. Leydesdorff, Loet & Bornmann, Lutz & Marx, Werner & Milojević, Staša, 2014. "Referenced Publication Years Spectroscopy applied to iMetrics: Scientometrics, Journal of Informetrics, and a relevant subset of JASIST," Journal of Informetrics, Elsevier, vol. 8(1), pages 162-174.
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    Cited by:

    1. Vladimir Batagelj, 2024. "Weighted degrees and truncated derived bibliographic networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(8), pages 4863-4883, August.

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