IDEAS home Printed from https://ideas.repec.org/a/eee/infome/v1y2007i2p123-130.html
   My bibliography  Save this article

A rational indicator of scientific creativity

Author

Listed:
  • Soler, José M.

Abstract

A model is proposed for the creation and transmission of scientific knowledge, based on the network of citations among research articles. The model allows to assign to each article a non-negative value for its creativity, i.e. its creation of new knowledge. If the entire publication network is truncated to the first neighbors of an article (the n references that it makes and the m citations that it receives), its creativity value becomes a simple function of n and m. After splitting the creativity of each article among its authors, the cumulative creativity of an author is then proposed as an indicator of her or his merit of research. In contrast with other merit indicators, this creativity index yields similar values for the top scientists in two very different areas (life sciences and physics), thus offering good promise for interdisciplinary analyses.

Suggested Citation

  • Soler, José M., 2007. "A rational indicator of scientific creativity," Journal of Informetrics, Elsevier, vol. 1(2), pages 123-130.
    • Handle: RePEc:eee:infome:v:1:y:2007:i:2:p:123-130
    DOI: 10.1016/j.joi.2006.10.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1751157706000253
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.joi.2006.10.004?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. Ed J. Rinia & Thed N. van Leeuwen & Eppo E. W. Bruins & Hendrik G. van Vuren & Anthony F. J. van Raan, 2002. "Measuring knowledge transfer between fields of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(3), pages 347-362, July.
    2. Rinia, E. J. & van Leeuwen, Th. N. & van Vuren, H. G. & van Raan, A. F. J., 1998. "Comparative analysis of a set of bibliometric indicators and central peer review criteria: Evaluation of condensed matter physics in the Netherlands," Research Policy, Elsevier, vol. 27(1), pages 95-107, May.
    3. Narin, Francis & Hamilton, Kimberly S. & Olivastro, Dominic, 1997. "The increasing linkage between U.S. technology and public science," Research Policy, Elsevier, vol. 26(3), pages 317-330, October.
    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. Tomas KaÄ erauskas, 2015. "The Indices of Creative Cities: the Global and Local Aspects," European Journal of Social Sciences Education and Research Articles, Revistia Research and Publishing, vol. 2, May - Aug.
    2. Kosmulski, Marek, 2010. "Hirsch-type approach to the 2nd generation citations," Journal of Informetrics, Elsevier, vol. 4(3), pages 257-264.
    3. Luo, Zhuoran & Lu, Wei & He, Jiangen & Wang, Yuqi, 2022. "Combination of research questions and methods: A new measurement of scientific novelty," Journal of Informetrics, Elsevier, vol. 16(2).
    4. Alesia Zuccala, 2010. "The mathematical review system: does reviewer status play a role in the citation process?," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 221-235, July.

    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. Mao, Jin & Liang, Zhentao & Cao, Yujie & Li, Gang, 2020. "Quantifying cross-disciplinary knowledge flow from the perspective of content: Introducing an approach based on knowledge memes," Journal of Informetrics, Elsevier, vol. 14(4).
    2. Landry, Réjean & Saïhi, Malek & Amara, Nabil & Ouimet, Mathieu, 2010. "Evidence on how academics manage their portfolio of knowledge transfer activities," Research Policy, Elsevier, vol. 39(10), pages 1387-1403, December.
    3. Gersbach, Hans & Schneider, Maik & Schneller, Olivier, 2010. "Optimal Mix of Applied and Basic Research, Distance to Frontier, and Openness," CEPR Discussion Papers 7795, C.E.P.R. Discussion Papers.
    4. Balland, Pierre-Alexandre & Boschma, Ron, 2022. "Do scientific capabilities in specific domains matter for technological diversification in European regions?," Research Policy, Elsevier, vol. 51(10).
    5. Takanori Ida & Naomi Fukuzawa, 2013. "Effects of large-scale research funding programs: a Japanese case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1253-1273, March.
    6. Shiji Chen & Clément Arsenault & Yves Gingras & Vincent Larivière, 2015. "Exploring the interdisciplinary evolution of a discipline: the case of Biochemistry and Molecular Biology," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1307-1323, February.
    7. 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.
    8. Beck, Mathias & Junge, Martin & Kaiser, Ulrich, 2017. "Public Funding and Corporate Innovation," IZA Discussion Papers 11196, Institute of Labor Economics (IZA).
    9. Hirschey, Mark & Richardson, Vernon J., 2001. "Valuation effects of patent quality: A comparison for Japanese and U.S. firms," Pacific-Basin Finance Journal, Elsevier, vol. 9(1), pages 65-82, January.
    10. Giovanni Abramo & Ciriaco Andrea D’Angelo & Marco Solazzi, 2010. "National research assessment exercises: a measure of the distortion of performance rankings when labor input is treated as uniform," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 605-619, September.
    11. Stefano Brusoni & Paola Criscuolo & Aldo Geuna, 2005. "The knowledge bases of the world's largest pharmaceutical groups: what do patent citations to non-patent literature reveal?," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 14(5), pages 395-415.
    12. Robert J. W. Tijssen & Jos J. Winnink, 2018. "Capturing ‘R&D excellence’: indicators, international statistics, and innovative universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 687-699, February.
    13. Cassiman, Bruno & Veugelers, Reinhilde & Zuniga, Pluvia, 2009. "Diversity of science linkages and innovation performance: some empirical evidence from Flemish firms," Economics Discussion Papers 2009-30, Kiel Institute for the World Economy (IfW Kiel).
    14. Wong, Chan-Yuan & Wang, Lili, 2015. "Trajectories of science and technology and their co-evolution in BRICS: Insights from publication and patent analysis," Journal of Informetrics, Elsevier, vol. 9(1), pages 90-101.
    15. R. J. W. Tussen & R. K. Buter & Th. N. van Leeuwen, 2000. "Technological Relevance of Science: An Assessment of Citation Linkages between Patents and Research Papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(2), pages 389-412, February.
    16. Lee Branstetter & Kwon Hyeog Ug, 2004. "The Restructuring Of Japanese Research And Development: The Increasing Impact Of Science On Japanese R&D," Discussion papers 04021, Research Institute of Economy, Trade and Industry (RIETI).
    17. Michael Roach & Wesley M. Cohen, 2012. "Lens or Prism? Patent Citations as a Measure of Knowledge Flows from Public Research," NBER Working Papers 18292, National Bureau of Economic Research, Inc.
    18. Peter Vinkler, 2008. "Correlation between the structure of scientific research, scientometric indicators and GDP in EU and non-EU countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(2), pages 237-254, February.
    19. Chris W. Belter, 2013. "A bibliometric analysis of NOAA’s Office of Ocean Exploration and Research," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 629-644, May.
    20. Rodríguez-Navarro, Alonso & Brito, Ricardo, 2018. "Technological research in the EU is less efficient than the world average. EU research policy risks Europeans’ future," Journal of Informetrics, Elsevier, vol. 12(3), pages 718-731.

    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:eee:infome:v:1:y:2007:i:2:p:123-130. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/joi .

    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.