IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v76y2008i3d10.1007_s11192-007-1786-9.html
   My bibliography  Save this article

Objective assessment of scientific performances world-wide

Author

Listed:
  • Claudio Nicolini

    (Fondazione EL.B.A.
    University of Genoa)

  • Fabrizio Nozza

    (Fondazione EL.B.A.)

Abstract

In order to identify the indicators having world-wide standards for the assessment of scientific performances at the level of both individual and institutions normalized for disciplines, we have carried out a comparative analysis of the relative scientific and technological level of individual scientists and individual scientific institutions competing internationally for given fields, using alternative indicators all based on the number of publications and on their impact factors in international SCI journals properly ranked properly weighted for their position, number of coauthors and discipline using deciles. This study, contrary to some gloomy opinions, suggests that interesting conclusions can be drawn from the above indicators. The utilization of the chosen indicators, tested world-wide in real situations, appears capable to effectively and objectively assess institutions and individual university professors and researchers proving to be quite significant and should be used to provide computer-assisted evaluation criteria for either maintaining or upgrading the given position, maintaining or closing public Institutions, and filtering grant applications.

Suggested Citation

  • Claudio Nicolini & Fabrizio Nozza, 2008. "Objective assessment of scientific performances world-wide," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(3), pages 527-541, September.
  • Handle: RePEc:spr:scient:v:76:y:2008:i:3:d:10.1007_s11192-007-1786-9
    DOI: 10.1007/s11192-007-1786-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-007-1786-9
    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/s11192-007-1786-9?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. J Sylvan Katz, 2000. "Scale-independent indicators and research evaluation," Science and Public Policy, Oxford University Press, vol. 27(1), pages 23-36, February.
    2. Per Ahlgren & Bo Jarneving & Ronald Rousseau, 2003. "Requirements for a cocitation similarity measure, with special reference to Pearson's correlation coefficient," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(6), pages 550-560, April.
    3. M. M. Kessler, 1963. "Bibliographic coupling between scientific papers," American Documentation, Wiley Blackwell, vol. 14(1), pages 10-25, January.
    4. T. Braun, 1999. "Bibliometric indicators for the evaluation of universities—Intelligence from the quantitation of the scientific literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 45(3), pages 425-432, July.
    5. Eugene Garfield & A. I. Pudovkin & V. S. Istomin, 2003. "Why do we need algorithmic historiography?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(5), pages 400-412, March.
    6. Loet Leydesdorff, 2007. "Visualization of the citation impact environments of scientific journals: An online mapping exercise," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(1), pages 25-38, January.
    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. Csomós, György & Tóth, Géza, 2016. "Exploring the position of cities in global corporate research and development: A bibliometric analysis by two different geographical approaches," Journal of Informetrics, Elsevier, vol. 10(2), pages 516-532.
    2. Daniele Fanelli, 2012. "Negative results are disappearing from most disciplines and countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(3), pages 891-904, March.
    3. Csomós György, 2017. "Mapping Spatial and Temporal Changes of Global Corporate Research and Development Activities by Conducting a Bibliometric Analysis," Quaestiones Geographicae, Sciendo, vol. 36(1), pages 65-77, March.
    4. Tóth, Géza & Csomós, György, 2016. "Mapping the position of cities in corporate research and development through a gravity model-based bidimensional regression analysis," MPRA Paper 74512, University Library of Munich, Germany.
    5. Zhou-min Yuan & Mingxin Yao, 2022. "Is academic writing becoming more positive? A large-scale diachronic case study of Science research articles across 25 years," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6191-6207, November.

    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. 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.
    2. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.
    3. 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.
    4. 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.
    5. Michel Zitt, 2015. "Meso-level retrieval: IR-bibliometrics interplay and hybrid citation-words methods in scientific fields delineation," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2223-2245, March.
    6. Perianes-Rodriguez, Antonio & Waltman, Ludo & van Eck, Nees Jan, 2016. "Constructing bibliometric networks: A comparison between full and fractional counting," Journal of Informetrics, Elsevier, vol. 10(4), pages 1178-1195.
    7. Yun, Jinhyuk & Ahn, Sejung & Lee, June Young, 2020. "Return to basics: Clustering of scientific literature using structural information," Journal of Informetrics, Elsevier, vol. 14(4).
    8. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    9. Chaoqun Ni & Cassidy R. Sugimoto & Jiepu Jiang, 2013. "Venue-author-coupling: A measure for identifying disciplines through author communities," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(2), pages 265-279, February.
    10. Loet Leydesdorff, 2007. "Environment and Planning B: Planning and Design as a Journal: The Interdisciplinarity of its Environment and the Citation Impact," Environment and Planning B, , vol. 34(5), pages 826-838, October.
    11. Chen, Kaihua & Zhang, Yi & Fu, Xiaolan, 2019. "International research collaboration: An emerging domain of innovation studies?," Research Policy, Elsevier, vol. 48(1), pages 149-168.
    12. Kraker, Peter & Schlögl, Christian & Jack, Kris & Lindstaedt, Stefanie, 2015. "Visualization of co-readership patterns from an online reference management system," Journal of Informetrics, Elsevier, vol. 9(1), pages 169-182.
    13. Christian Sternitzke & Isumo Bergmann, 2009. "Similarity measures for document mapping: A comparative study on the level of an individual scientist," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(1), pages 113-130, January.
    14. 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.
    15. García-Lillo, Francisco & Seva-Larrosa, Pedro & Sánchez-García, Eduardo, 2023. "What is going on in entrepreneurship research? A bibliometric and SNA analysis," Journal of Business Research, Elsevier, vol. 158(C).
    16. Peter Wittek & Sándor Darányi & Gustaf Nelhans, 2017. "Ruling out static latent homophily in citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 765-777, February.
    17. Ruhao Zhang & Junpeng Yuan, 2022. "Enhanced author bibliographic coupling analysis using semantic and syntactic citation information," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7681-7706, December.
    18. Ahlgren, Per & Colliander, Cristian, 2009. "Document–document similarity approaches and science mapping: Experimental comparison of five approaches," Journal of Informetrics, Elsevier, vol. 3(1), pages 49-63.
    19. Nassiri, Isar & Masoudi-Nejad, Ali & Jalili, Mahdi & Moeini, Ali, 2013. "Normalized Similarity Index: An adjusted index to prioritize article citations," Journal of Informetrics, Elsevier, vol. 7(1), pages 91-98.
    20. Budler, Marko & Župič, Ivan & Trkman, Peter, 2021. "The development of business model research: A bibliometric review," Journal of Business Research, Elsevier, vol. 135(C), pages 480-495.

    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:spr:scient:v:76:y:2008:i:3:d:10.1007_s11192-007-1786-9. 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.