IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v89y2011i2d10.1007_s11192-011-0486-7.html
   My bibliography  Save this article

Using Bayesian networks to discover relationships between bibliometric indices. A case study of computer science and artificial intelligence journals

Author

Listed:
  • Alfonso Ibáñez

    (Universidad Politécnica de Madrid)

  • Pedro Larrañaga

    (Universidad Politécnica de Madrid)

  • Concha Bielza

    (Universidad Politécnica de Madrid)

Abstract

As they are used to evaluate the importance of research at different levels by funding agencies and promotion committees, bibliometric indices have received a lot of attention from the scientific community over the last few years. Many bibliometric indices have been developed in order to take into account aspects not previously covered. The result is that, nowadays, the scientific community faces the challenge of selecting which of this pool of indices meets the required quality standards. In view of the vast number of bibliometric indices, it is necessary to analyze how they relate to each other (irrelevant, dependent and so on). Our main purpose is to learn a Bayesian network model from data to analyze the relationships among bibliometric indices. The induced Bayesian network is then used to discover probabilistic conditional (in)dependencies among the indices and, also for probabilistic reasoning. We also run a case study of 14 well-known bibliometric indices on computer science and artificial intelligence journals.

Suggested Citation

  • Alfonso Ibáñez & Pedro Larrañaga & Concha Bielza, 2011. "Using Bayesian networks to discover relationships between bibliometric indices. A case study of computer science and artificial intelligence journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 523-551, November.
    • Handle: RePEc:spr:scient:v:89:y:2011:i:2:d:10.1007_s11192-011-0486-7
    DOI: 10.1007/s11192-011-0486-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-011-0486-7
    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/s11192-011-0486-7?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. Philip M. Davis, 2008. "Eigenfactor: Does the principle of repeated improvement result in better estimates than raw citation counts?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(13), pages 2186-2188, November.
    2. Loet Leydesdorff, 2009. "How are new citation‐based journal indicators adding to the bibliometric toolbox?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(7), pages 1327-1336, July.
    3. Chun-Ting Zhang, 2009. "The e-Index, Complementing the h-Index for Excess Citations," PLOS ONE, Public Library of Science, vol. 4(5), pages 1-4, May.
    4. Rodrigo Costas & María Bordons, 2008. "Is g-index better than h-index? An exploratory study at the individual level," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(2), pages 267-288, November.
    5. Tibor Braun & Wolfgang Glänzel & András Schubert, 2006. "A Hirsch-type index for journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 169-173, October.
    6. Serenko, Alexander, 2010. "The development of an AI journal ranking based on the revealed preference approach," Journal of Informetrics, Elsevier, vol. 4(4), pages 447-459.
    7. Franceschet, Massimo, 2010. "Journal influence factors," Journal of Informetrics, Elsevier, vol. 4(3), pages 239-248.
    8. S. Alonso & F. J. Cabrerizo & E. Herrera-Viedma & F. Herrera, 2010. "hg-index: a new index to characterize the scientific output of researchers based on the h- and g-indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 391-400, February.
    9. Woeginger, Gerhard J., 2008. "An axiomatic characterization of the Hirsch-index," Mathematical Social Sciences, Elsevier, vol. 56(2), pages 224-232, September.
    10. Mark R. Elkins & Christopher G. Maher & Robert D. Herbert & Anne M. Moseley & Catherine Sherrington, 2010. "Correlation between the Journal Impact Factor and three other journal citation indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 81-93, October.
    11. Frances Ruane & Richard S. J. Tol, 2008. "Rational (successive) h-indices: An application to economics in the Republic of Ireland," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(2), pages 395-405, May.
    12. Judit Bar-Ilan, 2008. "Which h-index? — A comparison of WoS, Scopus and Google Scholar," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(2), pages 257-271, February.
    13. Johan Bollen & Herbert Van de Sompel & Aric Hagberg & Ryan Chute, 2009. "A Principal Component Analysis of 39 Scientific Impact Measures," PLOS ONE, Public Library of Science, vol. 4(6), pages 1-11, June.
    14. Michael Schreiber, 2008. "An empirical investigation of the g‐index for 26 physicists in comparison with the h‐index, the A‐index, and the R‐index," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(9), pages 1513-1522, July.
    15. Cabrerizo, F.J. & Alonso, S. & Herrera-Viedma, E. & Herrera, F., 2010. "q2-Index: Quantitative and qualitative evaluation based on the number and impact of papers in the Hirsch core," Journal of Informetrics, Elsevier, vol. 4(1), pages 23-28.
    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. Mingyue Sun & Tingcan Ma & Lewei Zhou & Mingliang Yue, 2023. "Analysis of the relationships among paper citation and its influencing factors: a Bayesian network-based approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 3017-3033, May.
    2. Alfonso Ibáñez & Pedro Larrañaga & Concha Bielza, 2013. "Cluster methods for assessing research performance: exploring Spanish computer science," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 571-600, December.

    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. Vîiu, Gabriel-Alexandru, 2016. "A theoretical evaluation of Hirsch-type bibliometric indicators confronted with extreme self-citation," Journal of Informetrics, Elsevier, vol. 10(2), pages 552-566.
    2. Parul Khurana & Kiran Sharma, 2022. "Impact of h-index on author’s rankings: an improvement to the h-index for lower-ranked authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4483-4498, August.
    3. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    4. Alonso, S. & Cabrerizo, F.J. & Herrera-Viedma, E. & Herrera, F., 2009. "h-Index: A review focused in its variants, computation and standardization for different scientific fields," Journal of Informetrics, Elsevier, vol. 3(4), pages 273-289.
    5. Zhenbin Yan & Qiang Wu & Xingchen Li, 2016. "Do Hirsch-type indices behave the same in assessing single publications? An empirical study of 29 bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1815-1833, December.
    6. Brandão, Luana Carneiro & Soares de Mello, João Carlos Correia Baptista, 2019. "A multi-criteria approach to the h-index," European Journal of Operational Research, Elsevier, vol. 276(1), pages 357-363.
    7. Ana Paula dos Santos Rubem & Ariane Lima Moura & João Carlos Correia Baptista Soares de Mello, 2015. "Comparative analysis of some individual bibliometric indices when applied to groups of researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 1019-1035, January.
    8. Zhang, Lin & Thijs, Bart & Glänzel, Wolfgang, 2011. "The diffusion of H-related literature," Journal of Informetrics, Elsevier, vol. 5(4), pages 583-593.
    9. Yu Liu & Wei Zuo & Ying Gao & Yanhong Qiao, 2013. "Comprehensive geometrical interpretation of h-type indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 605-615, August.
    10. Fiorenzo Franceschini & Domenico Maisano, 2011. "Bibliometric positioning of scientific manufacturing journals: a comparative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 463-485, February.
    11. Bornmann, Lutz & Mutz, Rüdiger & Hug, Sven E. & Daniel, Hans-Dieter, 2011. "A multilevel meta-analysis of studies reporting correlations between the h index and 37 different h index variants," Journal of Informetrics, Elsevier, vol. 5(3), pages 346-359.
    12. Andersen, Jens Peter, 2017. "An empirical and theoretical critique of the Euclidean index," Journal of Informetrics, Elsevier, vol. 11(2), pages 455-465.
    13. Sidiropoulos, A. & Gogoglou, A. & Katsaros, D. & Manolopoulos, Y., 2016. "Gazing at the skyline for star scientists," Journal of Informetrics, Elsevier, vol. 10(3), pages 789-813.
    14. Liwei Cai & Jiahao Tian & Jiaying Liu & Xiaomei Bai & Ivan Lee & Xiangjie Kong & Feng Xia, 2019. "Scholarly impact assessment: a survey of citation weighting solutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 453-478, February.
    15. Jingda Ding & Chao Liu & Goodluck Asobenie Kandonga, 2020. "Exploring the limitations of the h-index and h-type indexes in measuring the research performance of authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1303-1322, March.
    16. Shaibu Mohammed & Emmanuel K. Nyantakyi & Anthony Morgan & Prosper Anumah & Justice Sarkodie-kyeremeh, 2021. "Use of relative extra citation counts and uncited publications to enhance the discriminatory power of the h-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 181-199, January.
    17. Chia-Lin Chang & Michael McAleer & Les Oxley, 2010. "Journal Impact Factor Versus Eigenfactor and Article Influence," KIER Working Papers 737, Kyoto University, Institute of Economic Research.
    18. Lathabai, Hiran H., 2020. "ψ-index: A new overall productivity index for actors of science and technology," Journal of Informetrics, Elsevier, vol. 14(4).
    19. Chang, C-L. & McAleer, M.J. & Oxley, L., 2012. "Journal Impact Factor, Eigenfactor, Journal Influence and Article Influence," Econometric Institute Research Papers EI 2012-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    20. Walters, William H., 2014. "Do Article Influence scores overestimate the citation impact of social science journals in subfields that are related to higher-impact natural science disciplines?," Journal of Informetrics, Elsevier, vol. 8(2), pages 421-430.

    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:89:y:2011:i:2:d:10.1007_s11192-011-0486-7. 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.