IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0002778.html
   My bibliography  Save this article

Measuring Co-Authorship and Networking-Adjusted Scientific Impact

Author

Listed:
  • John P A Ioannidis

Abstract

Appraisal of the scientific impact of researchers, teams and institutions with productivity and citation metrics has major repercussions. Funding and promotion of individuals and survival of teams and institutions depend on publications and citations. In this competitive environment, the number of authors per paper is increasing and apparently some co-authors don't satisfy authorship criteria. Listing of individual contributions is still sporadic and also open to manipulation. Metrics are needed to measure the networking intensity for a single scientist or group of scientists accounting for patterns of co-authorship. Here, I define I1 for a single scientist as the number of authors who appear in at least I1 papers of the specific scientist. For a group of scientists or institution, In is defined as the number of authors who appear in at least In papers that bear the affiliation of the group or institution. I1 depends on the number of papers authored Np. The power exponent R of the relationship between I1 and Np categorizes scientists as solitary (R>2.5), nuclear (R = 2.25–2.5), networked (R = 2–2.25), extensively networked (R = 1.75–2) or collaborators (R

Suggested Citation

  • John P A Ioannidis, 2008. "Measuring Co-Authorship and Networking-Adjusted Scientific Impact," PLOS ONE, Public Library of Science, vol. 3(7), pages 1-8, July.
    • Handle: RePEc:plo:pone00:0002778
    DOI: 10.1371/journal.pone.0002778
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0002778
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0002778&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0002778?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
    ---><---

    References listed on IDEAS

    as
    1. Pablo D. Batista & Mônica G. Campiteli & Osame Kinouchi, 2006. "Is it possible to compare researchers with different scientific interests?," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(1), pages 179-189, July.
    2. Leo Egghe & Ronald Rousseau, 2006. "An informetric model for the Hirsch-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 121-129, October.
    3. Peter C Gøtzsche & Asbjørn Hróbjartsson & Helle Krogh Johansen & Mette T Haahr & Douglas G Altman & An-Wen Chan, 2007. "Ghost Authorship in Industry-Initiated Randomised Trials," PLOS Medicine, Public Library of Science, vol. 4(1), pages 1-6, January.
    4. Fetters, Michael D., 1995. "Nemawashi essential for conducting research in Japan," Social Science & Medicine, Elsevier, vol. 41(3), pages 375-381, August.
    5. Anthony F. J. Raan, 2006. "Comparison of the Hirsch-index with standard bibliometric indicators and with peer judgment for 147 chemistry research groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(3), pages 491-502, June.
    6. Helmut A. Abt, 2007. "The publication rate of scientific papers depends only on the number of scientists," Scientometrics, Springer;Akadémiai Kiadó, vol. 73(3), pages 281-288, December.
    7. Michael C. Wendl, 2007. "H-index: however ranked, citations need context," Nature, Nature, vol. 449(7161), pages 403-403, September.
    8. Anthony F. J. van Raan, 2005. "Fatal attraction: Conceptual and methodological problems in the ranking of universities by bibliometric methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 62(1), pages 133-143, January.
    9. Weeks, William B & Wallace, Amy E & Kimberly, B.C.Surott, 2004. "Changes in authorship patterns in prestigious US medical journals," Social Science & Medicine, Elsevier, vol. 59(9), pages 1949-1954, November.
    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. Marian-Gabriel Hâncean & Matjaž Perc & Lazăr Vlăsceanu, 2014. "Fragmented Romanian Sociology: Growth and Structure of the Collaboration Network," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-9, November.
    2. Meen Chul Kim & Yoo Kyung Jeong & Min Song, 2014. "Investigating the integrated landscape of the intellectual topology of bioinformatics," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 309-335, October.
    3. M. Ausloos, 2013. "A scientometrics law about co-authors and their ranking: the co-author core," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 895-909, June.
    4. Liu, Jie & Ge, Huilin, 2022. "Collaboration mechanisms and community detection of statisticians based on ERGMs and kNN-walktrap," Computational Statistics & Data Analysis, Elsevier, vol. 168(C).
    5. Ronnie Ramlogan & Davide Consoli, 2014. "Dynamics of collaborative research medicine: the case of glaucoma," The Journal of Technology Transfer, Springer, vol. 39(4), pages 544-566, August.
    6. M. P. Rozing & T. N. Leeuwen & P. H. Reitsma & F. R. Rosendaal & N. A. Aziz, 2020. "Freeloading in biomedical research," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 47-55, January.
    7. Juan Luis Sanz-Cabanillas & Juan Ruano & Francisco Gomez-Garcia & Patricia Alcalde-Mellado & Jesus Gay-Mimbrera & Macarena Aguilar-Luque & Beatriz Maestre-Lopez & Marcelino Gonzalez-Padilla & Pedro J , 2017. "Author-paper affiliation network architecture influences the methodological quality of systematic reviews and meta-analyses of psoriasis," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-14, April.
    8. B Ian Hutchins & Matthew T Davis & Rebecca A Meseroll & George M Santangelo, 2019. "Predicting translational progress in biomedical research," PLOS Biology, Public Library of Science, vol. 17(10), pages 1-25, October.

    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. J. W. Fedderke, 2013. "The objectivity of national research foundation peer review in South Africa assessed against bibliometric indexes," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 177-206, November.
    2. Zhang, Lin & Thijs, Bart & Glänzel, Wolfgang, 2011. "The diffusion of H-related literature," Journal of Informetrics, Elsevier, vol. 5(4), pages 583-593.
    3. Franceschini, Fiorenzo & Maisano, Domenico A., 2010. "Analysis of the Hirsch index's operational properties," European Journal of Operational Research, Elsevier, vol. 203(2), pages 494-504, June.
    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. Anna Tietze & Philip Hofmann, 2019. "The h-index and multi-author hm-index for individual researchers in condensed matter physics," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 171-185, April.
    6. 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.
    7. Miguel A. García-Pérez, 2009. "A multidimensional extension to Hirsch’s h-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 779-785, December.
    8. Franceschini, Fiorenzo & Maisano, Domenico, 2010. "The Hirsch spectrum: A novel tool for analyzing scientific journals," Journal of Informetrics, Elsevier, vol. 4(1), pages 64-73.
    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. Antonis Sidiropoulos & Dimitrios Katsaros & Yannis Manolopoulos, 2007. "Generalized Hirsch h-index for disclosing latent facts in citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(2), pages 253-280, August.
    11. Brito, Ricardo & Navarro, Alonso Rodríguez, 2021. "The inconsistency of h-index: A mathematical analysis," Journal of Informetrics, Elsevier, vol. 15(1).
    12. van Eck, Nees Jan & Waltman, Ludo, 2008. "Generalizing the h- and g-indices," Journal of Informetrics, Elsevier, vol. 2(4), pages 263-271.
    13. van Eck, N.J.P. & Waltman, L., 2008. "Generalizing the h- and g-indices," ERIM Report Series Research in Management ERS-2008-049-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    14. Fiorenzo Franceschini & Domenico Maisano & Anna Perotti & Andrea Proto, 2010. "Analysis of the ch-index: an indicator to evaluate the diffusion of scientific research output by citers," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 203-217, October.
    15. Asma Hammami & Nabil Semmar, 2022. "The simplex simulation as a tool to reveal publication strategies and citation factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 319-350, January.
    16. Judit Bar-Ilan, 2008. "The h-index of h-index and of other informetric topics," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 591-605, June.
    17. Quentin L. Burrell, 2009. "On Hirsch’s h, Egghe’s g and Kosmulski’s h(2)," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(1), pages 79-91, April.
    18. Deming Lin & Tianhui Gong & Wenbin Liu & Martin Meyer, 2020. "An entropy-based measure for the evolution of h index research," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2283-2298, December.
    19. Hyeonchae Yang & Woo-Sung Jung, 2015. "A strategic management approach for Korean public research institutes based on bibliometric investigation," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1437-1464, July.
    20. Fiorenzo Franceschini & Maurizio Galetto & Domenico Maisano & Luca Mastrogiacomo, 2012. "The success-index: an alternative approach to the h-index for evaluating an individual’s research output," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 621-641, September.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0002778. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.