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The d-index: Discovering dependences among scientific collaborators from their bibliographic data records

Author

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  • Luigi Di Caro

    (University of Torino)

  • Mario Cataldi

    (University of Torino)

  • Claudio Schifanella

    (University of Torino)

Abstract

The evaluation of the work of a researcher and its impact on the research community has been deeply studied in literature through the definition of several measures, first among all the h-index and its variations. Although these measures represent valuable tools for analyzing researchers’ outputs, they usually assume the co-authorship to be a proportional collaboration between the parts, missing out their relationships and the relative scientific influences. In this work, we propose the d-index, a novel measure that estimates the dependence degree between authors on their research environment along their entire scientific publication history. We also present a web application that implements these ideas and provides a number of visualization tools for analyzing and comparing scientific dependences among all the scientists in the DBLP bibliographic database. Finally, relying on this web environment, we present case and user studies that highlight both the validity and the reliability of the proposed evaluation measure.

Suggested Citation

  • Luigi Di Caro & Mario Cataldi & Claudio Schifanella, 2012. "The d-index: Discovering dependences among scientific collaborators from their bibliographic data records," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 583-607, December.
    • Handle: RePEc:spr:scient:v:93:y:2012:i:3:d:10.1007_s11192-012-0762-1
    DOI: 10.1007/s11192-012-0762-1
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    1. Juan Imperial & Alonso Rodríguez-Navarro, 2007. "Usefulness of Hirsch’s h-index to evaluate scientific research in Spain," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(2), pages 271-282, May.
    2. Mary K. Feeney & Margarita Bernal, 2010. "Women in STEM networks: who seeks advice and support from women scientists?," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 767-790, December.
    3. Wagner, Caroline S. & Leydesdorff, Loet, 2005. "Network structure, self-organization, and the growth of international collaboration in science," Research Policy, Elsevier, vol. 34(10), pages 1608-1618, December.
    4. Chen, P. & Xie, H. & Maslov, S. & Redner, S., 2007. "Finding scientific gems with Google’s PageRank algorithm," Journal of Informetrics, Elsevier, vol. 1(1), pages 8-15.
    5. Katz, J. Sylvan & Martin, Ben R., 1997. "What is research collaboration?," Research Policy, Elsevier, vol. 26(1), pages 1-18, March.
    6. Haiyan Hou & Hildrun Kretschmer & Zeyuan Liu, 2008. "The structure of scientific collaboration networks in Scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(2), pages 189-202, May.
    7. 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.
    8. Justus V. Verhagen & Karin J. Wallace & Stephan C. Collins & Thomas R. Scott, 2003. "QUAD system offers fair shares to all authors," Nature, Nature, vol. 426(6967), pages 602-602, December.
    9. Rodriguez, Marko A. & Pepe, Alberto, 2008. "On the relationship between the structural and socioacademic communities of a coauthorship network," Journal of Informetrics, Elsevier, vol. 2(3), pages 195-201.
    10. Barabási, A.L & Jeong, H & Néda, Z & Ravasz, E & Schubert, A & Vicsek, T, 2002. "Evolution of the social network of scientific collaborations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 311(3), pages 590-614.
    11. Erjia Yan & Ying Ding, 2009. "Applying centrality measures to impact analysis: A coauthorship network analysis," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(10), pages 2107-2118, October.
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    Cited by:

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