IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v107y2016i2d10.1007_s11192-016-1856-y.html
   My bibliography  Save this article

The relationship between authors’ bibliographic coupling and citation exchange: analyzing disciplinary differences

Author

Listed:
  • Ali Gazni

    (Regional Information Center for Science and Technology)

  • Fereshteh Didegah

    (University of Turku)

Abstract

Author bibliographic coupling (ABC) is extended from the bibliographic coupling concept and holds the view that two authors with more common references are more related and have more similar research interests. This study aims to examine the association between author bibliographic coupling strength and citation exchange in eighteen subject areas. The results show that there is no significant difference in the associations found across the subject areas. The correlation is positive and significant between the two factors in all subject areas, although it is stronger in some subject areas, such as Biomedical Engineering, than in others. For a closer investigation of the association between bibliographic coupling strength and citations exchanged between pairs of authors and also of ABC networks, a sample of highly cited authors in one of the subfields of Information Science & Library Science, imetrics, was taken into account. The correlation is also highly significant among imetricians. This finding confirms Merton’s norm of universalism versus constructivists’ particularism. The investigation of thirty highly cited imetricians shows that Thelwall, M is in strong bibliographic coupling and citation relationships with the majority of the authors in the network. He and Bar-Ilan have the strongest ABC and citation relationships in the network. Rousseau, R, Glanzel, W., Bornmann, L, Bar-Ilan, J, and Leydesdorff, L are also in strong ABC relationships with each other as well as other authors in the network.

Suggested Citation

  • Ali Gazni & Fereshteh Didegah, 2016. "The relationship between authors’ bibliographic coupling and citation exchange: analyzing disciplinary differences," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 609-626, May.
  • Handle: RePEc:spr:scient:v:107:y:2016:i:2:d:10.1007_s11192-016-1856-y
    DOI: 10.1007/s11192-016-1856-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-016-1856-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11192-016-1856-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Bo Jarneving, 2005. "A comparison of two bibliometric methods for mapping of the research front," Scientometrics, Springer;Akadémiai Kiadó, vol. 65(2), pages 245-263, November.
    2. Ma, Ruimin, 2012. "Author bibliographic coupling analysis: A test based on a Chinese academic database," Journal of Informetrics, Elsevier, vol. 6(4), pages 532-542.
    3. M. H. MacRoberts & B. R. MacRoberts, 1987. "Another test of the normative theory of citing," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 38(4), pages 305-306, July.
    4. Anthony F. J. van Raan, 2005. "Reference-based publication networks with episodic memories," Scientometrics, Springer;Akadémiai Kiadó, vol. 63(3), pages 549-566, June.
    5. Jarneving, Bo, 2007. "Bibliographic coupling and its application to research-front and other core documents," Journal of Informetrics, Elsevier, vol. 1(4), pages 287-307.
    6. M. M. Kessler, 1963. "Bibliographic coupling between scientific papers," American Documentation, Wiley Blackwell, vol. 14(1), pages 10-25, January.
    7. -, 2007. "Informe estadístico de la economía brasileña, octubre 2007," Informe Estadístico – Oficina de la CEPAL en Brasilia 28059, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    8. -, 2007. "Informe estadístico de la economía brasileña, mayo 2007," Informe Estadístico – Oficina de la CEPAL en Brasilia 28055, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    9. Howard D. White, 2004. "Reward, persuasion, and the Sokal Hoax: A study in citation identities," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(1), pages 93-120, May.
    10. -, 2007. "Informe estadístico de la economía brasileña, agosto 2007," Informe Estadístico – Oficina de la CEPAL en Brasilia 28057, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    11. A. Abrizah & Mohammadamin Erfanmanesh & Vala Ali Rohani & Mike Thelwall & Jonathan M. Levitt & Fereshteh Didegah, 2014. "Sixty-four years of informetrics research: productivity, impact and collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 569-585, October.
    12. Dangzhi Zhao & Andreas Strotmann, 2014. "The knowledge base and research front of information science 2006–2010: An author cocitation and bibliographic coupling analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(5), pages 995-1006, May.
    13. Erjia Yan & Ying Ding, 2012. "Scholarly network similarities: How bibliographic coupling networks, citation networks, cocitation networks, topical networks, coauthorship networks, and coword networks relate to each other," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(7), pages 1313-1326, July.
    14. Erjia Yan & Ying Ding, 2012. "Scholarly network similarities: How bibliographic coupling networks, citation networks, cocitation networks, topical networks, coauthorship networks, and coword networks relate to each other," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(7), pages 1313-1326, July.
    15. Steven A. Morris & G. Yen & Zheng Wu & Benyam Asnake, 2003. "Time line visualization of research fronts," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(5), pages 413-422, March.
    16. Ali Gazni & Mike Thelwall, 2014. "The long-term influence of collaboration on citation patterns," Research Evaluation, Oxford University Press, vol. 23(3), pages 261-271.
    17. Editors, 2007. "Cicero on the Ethics of Information Asymmetry," Journal of Political Economy, University of Chicago Press, vol. 115(4), pages 1-1, August.
    18. ., 2007. "Costly Information and Decision Making," Chapters, in: Expectations, Rationality and Economic Performance, chapter 6, Edward Elgar Publishing.
    19. Osmo Kuusi & Martin Meyer, 2007. "Anticipating technological breakthroughs: Using bibliographic coupling to explore the nanotubes paradigm," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(3), pages 759-777, March.
    20. H. P. F. Peters & R. R. Braam & A. F. J. van Raan, 1995. "Cognitive resemblance and citation relations in chemical engineering publications," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 46(1), pages 9-21, January.
    21. -, 2007. "Informe estadístico de la economía brasileña, enero 2007," Informe Estadístico – Oficina de la CEPAL en Brasilia 28054, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    22. -, 2007. "Informe estadístico de la economía brasileña, julio 2007," Informe Estadístico – Oficina de la CEPAL en Brasilia 28056, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    23. Henry Small, 2004. "On the shoulders of Robert Merton: Towards a normative theory of citation," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(1), pages 71-79, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Munan & Porter, Alan L. & Suominen, Arho, 2018. "Insights into relationships between disruptive technology/innovation and emerging technology: A bibliometric perspective," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 285-296.
    2. Rubí Medina-Mijangos & Luis Seguí-Amórtegui, 2020. "Research Trends in the Economic Analysis of Municipal Solid Waste Management Systems: A Bibliometric Analysis from 1980 to 2019," Sustainability, MDPI, vol. 12(20), pages 1-20, October.
    3. Song Yanhui & Wu Lijuan & Qiu Junping, 2021. "A comparative study of first and all-author bibliographic coupling analysis based on Scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1125-1147, February.
    4. Leng Liu & Congjie Cao & Wei Song, 2023. "Bibliometric Analysis in the Field of Rural Revitalization: Current Status, Progress, and Prospects," IJERPH, MDPI, vol. 20(1), pages 1-18, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Junping Qiu & Ruimin Ma & Ni Cheng, 2008. "New exploratory work of evaluating a researcher’s output," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(2), pages 335-344, November.
    2. Song Yanhui & Wu Lijuan & Qiu Junping, 2021. "A comparative study of first and all-author bibliographic coupling analysis based on Scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1125-1147, February.
    3. Yang, Siluo & Han, Ruizhen & Wolfram, Dietmar & Zhao, Yuehua, 2016. "Visualizing the intellectual structure of information science (2006–2015): Introducing author keyword coupling analysis," Journal of Informetrics, Elsevier, vol. 10(1), pages 132-150.
    4. Yu-Wei Chang & Mu-Hsuan Huang & Chiao-Wen Lin, 2015. "Evolution of research subjects in library and information science based on keyword, bibliographical coupling, and co-citation analyses," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2071-2087, December.
    5. Hervas Oliver,Jose Luis & Gonzalez,Gregorio & Caja,Pedro, 2014. "Clusters and industrial districts: where is the literature going? Identifying emerging sub-fields of research," INGENIO (CSIC-UPV) Working Paper Series 201409, INGENIO (CSIC-UPV).
    6. Mu-hsuan Huang & Chia-Pin Chang, 2015. "A comparative study on detecting research fronts in the organic light-emitting diode (OLED) field using bibliographic coupling and co-citation," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2041-2057, March.
    7. Yang, Siluo & Wang, Feifei, 2015. "Visualizing information science: Author direct citation analysis in China and around the world," Journal of Informetrics, Elsevier, vol. 9(1), pages 208-225.
    8. Shuo Xu & Liyuan Hao & Xin An & Hongshen Pang & Ting Li, 2020. "Review on emerging research topics with key-route main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 607-624, January.
    9. Jun-Ping Qiu & Ke Dong & Hou-Qiang Yu, 2014. "Comparative study on structure and correlation among author co-occurrence networks in bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1345-1360, November.
    10. van der Have, Robert P. & Rubalcaba, Luis, 2016. "Social innovation research: An emerging area of innovation studies?," Research Policy, Elsevier, vol. 45(9), pages 1923-1935.
    11. Saeed-Ul Hassan & Naif R. Aljohani & Mudassir Shabbir & Umair Ali & Sehrish Iqbal & Raheem Sarwar & Eugenio Martínez-Cámara & Sebastián Ventura & Francisco Herrera, 2020. "Tweet Coupling: a social media methodology for clustering scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 973-991, August.
    12. Federica Bologna & Angelo Iorio & Silvio Peroni & Francesco Poggi, 2023. "Do open citations give insights on the qualitative peer-review evaluation in research assessments? An analysis of the Italian National Scientific Qualification," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 19-53, January.
    13. Bu, Yi & Ni, Shaokang & Huang, Win-bin, 2017. "Combining multiple scholarly relationships with author cocitation analysis: A preliminary exploration on improving knowledge domain mappings," Journal of Informetrics, Elsevier, vol. 11(3), pages 810-822.
    14. Guan-Can Yang & Gang Li & Chun-Ya Li & Yun-Hua Zhao & Jing Zhang & Tong Liu & Dar-Zen Chen & Mu-Hsuan Huang, 2015. "Using the comprehensive patent citation network (CPC) to evaluate patent value," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1319-1346, December.
    15. Ali Gazni & Vincent Larivière & Fereshteh Didegah, 2016. "The effect of collaborators on institutions’ scientific impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1209-1230, November.
    16. Yuen-Hsien Tseng & Ming-Yueh Tsay, 2013. "Journal clustering of library and information science for subfield delineation using the bibliometric analysis toolkit: CATAR," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 503-528, May.
    17. Liu, Jialin & Chen, Hongkan & Liu, Zhibo & Bu, Yi & Gu, Weiye, 2022. "Non-linearity between referencing behavior and citation impact: A large-scale, discipline-level analysis," Journal of Informetrics, Elsevier, vol. 16(3).
    18. Fernando A. F. Ferreira & Sérgio P. Santos, 2021. "Two decades on the MACBETH approach: a bibliometric analysis," Annals of Operations Research, Springer, vol. 296(1), pages 901-925, January.
    19. Bo Liu & Wei Song & Qian Sun, 2022. "Status, Trend, and Prospect of Global Farmland Abandonment Research: A Bibliometric Analysis," IJERPH, MDPI, vol. 19(23), pages 1-30, November.
    20. Wang, Feifei & Jia, Chenran & Wang, Xiaohan & Liu, Junwan & Xu, Shuo & Liu, Yang & Yang, Chenyuyan, 2019. "Exploring all-author tripartite citation networks: A case study of gene editing," Journal of Informetrics, Elsevier, vol. 13(3), pages 856-873.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:107:y:2016:i:2:d:10.1007_s11192-016-1856-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.