IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v86y2011i2d10.1007_s11192-010-0265-x.html
   My bibliography  Save this article

Correlation between impact and collaboration

Author

Listed:
  • Jiann-wien Hsu

    (National Tainan Institute of Nursing)

  • Ding-wei Huang

    (Chung Yuan Christian University)

Abstract

We obtained data of statistical significance to verify the intuitive impression that collaboration leads to higher impact. We selected eight scientific journals to analyze the correlations between the number of citations and the number of coauthors. For different journals, the single-authored articles always contained the lowest citations. The citations to those articles with fewer than five coauthors are lower than the average citations of the journal. We also provided a simple measurement to the value of authorship with regards to the increase number of citations. Compared to the citation distribution, similar but smaller fluctuations appeared in the coauthor distribution. Around 70% of the citations were accumulated in 30% of the papers, while 60% of the coauthors appeared in 40% of the papers. We find that predicting the citation number from the coauthor number can be more reliable than predicting the coauthor number from the citation number. For both citation distribution and coauthor distribution, the standard deviation is larger than the average value. We caution the use of such an unrepresentative average value. The average value can be biased significantly by extreme minority, and might not reflect the majority.

Suggested Citation

  • Jiann-wien Hsu & Ding-wei Huang, 2011. "Correlation between impact and collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 317-324, February.
  • Handle: RePEc:spr:scient:v:86:y:2011:i:2:d:10.1007_s11192-010-0265-x
    DOI: 10.1007/s11192-010-0265-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-010-0265-x
    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/s11192-010-0265-x?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. Anthony F.J. van Raan, 2006. "Statistical properties of bibliometric indicators: Research group indicator distributions and correlations," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 408-430, February.
    Full references (including those not matched with items on IDEAS)

    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. Franceschini, Fiorenzo & Maisano, Domenico, 2011. "Structured evaluation of the scientific output of academic research groups by recent h-based indicators," Journal of Informetrics, Elsevier, vol. 5(1), pages 64-74.
    2. Maziar Montazerian & Edgar Dutra Zanotto & Hellmut Eckert, 2019. "A new parameter for (normalized) evaluation of H-index: countries as a case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1065-1078, March.
    3. Ulf Sandström, 2009. "Research quality and diversity of funding: A model for relating research money to output of research," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(2), pages 341-349, May.
    4. Pedro Albarrán & Juan A. Crespo & Ignacio Ortuño & Javier Ruiz-Castillo, 2011. "The skewness of science in 219 sub-fields and a number of aggregates," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 385-397, August.
    5. Ruiz-Castillo, Javier & Costas, Rodrigo, 2018. "Individual and field citation distributions in 29 broad scientific fields," Journal of Informetrics, Elsevier, vol. 12(3), pages 868-892.
    6. Ghassan Abdul-Majeed & Wissam Mahmood & Nasri S. M. Namer, 2021. "Measuring research performance of Iraqi universities using Scopus data," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2349-2363, March.
    7. Ursprung Heinrich W. & Zimmer Markus, 2007. "Who is the ”Platz-Hirsch“ of the German Economics Profession?: A Citation Analysis," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 227(2), pages 187-208, April.
    8. Katz, J. Sylvan, 2006. "Indicators for complex innovation systems," Research Policy, Elsevier, vol. 35(7), pages 893-909, September.
    9. 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.
    10. Min Song & Su Yeon Kim, 2013. "Detecting the knowledge structure of bioinformatics by mining full-text collections," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 183-201, July.
    11. Ulf Sandström & Martin Hällsten, 2008. "Persistent nepotism in peer-review," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(2), pages 175-189, February.
    12. Sylvan Katz, 2012. "Science Policy, Complex Innovation Systems and Performance Measures," SPRU Working Paper Series 198, SPRU - Science Policy Research Unit, University of Sussex Business School.
    13. Zhihui Zhang & Ying Cheng & Nian Cai Liu, 2015. "Improving the normalization effect of mean-based method from the perspective of optimization: optimization-based linear methods and their performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 587-607, January.
    14. Rons, Nadine, 2012. "Partition-based Field Normalization: An approach to highly specialized publication records," Journal of Informetrics, Elsevier, vol. 6(1), pages 1-10.
    15. Ning Li, 2017. "Evolutionary patterns of national disciplinary profiles in research: 1996–2015," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 493-520, April.
    16. Alexander Karlsson & Björn Hammarfelt & H. Joe Steinhauer & Göran Falkman & Nasrine Olson & Gustaf Nelhans & Jan Nolin, 2015. "Modeling uncertainty in bibliometrics and information retrieval: an information fusion approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2255-2274, March.
    17. Michal Brzezinski, 2015. "Power laws in citation distributions: evidence from Scopus," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 213-228, April.
    18. Liang, Liming & Rousseau, Ronald, 2010. "Measuring a journal's input rhythm based on its publication–reference matrix," Journal of Informetrics, Elsevier, vol. 4(2), pages 201-209.
    19. Guillermo Armando Ronda-Pupo & J. Sylvan Katz, 2018. "The power law relationship between citation impact and multi-authorship patterns in articles in Information Science & Library Science journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 919-932, March.
    20. Anthony F J van Raan, 2013. "Universities Scale Like Cities," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-14, March.

    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:86:y:2011:i:2:d:10.1007_s11192-010-0265-x. 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.