skip to main content
10.1145/2339530.2339770acmconferencesArticle/Chapter ViewAbstractPublication PageskddConference Proceedingsconference-collections
demonstration

D-INDEX: a web environment for analyzing dependences among scientific collaborators

Published:12 August 2012Publication History

ABSTRACT

In this work, we demonstrate a web application, available at http://d-index.di.unito.it, that permits to analyze the scientific profiles of all the researchers indexed by DBLP by focusing on the collaborations that contributed to define their curricula. The presented application allows the user to analyze the profile of a researcher, her dependence degrees on all the co-authors (along her entire scientific publication history) and to make comparisons among them in terms of dependence patterns. In particular, it is possible to estimate and visualize how much a researcher has benefited from collaboration with another researcher as well as the communities in which she has been involved. Moreover, the application permits to compare, in a single chart, each researcher with all the scientists indexed in DBLP by focusing on their dependences with respect to many other parameters like the total number of papers, the number of collaborations and the length of the scientific careers.

References

  1. L. Di Caro, M. Cataldi, and C. Schifanella. The d-index: Discovering dependences among scientific collaborators from their bibliographic data records. Scientometrics, pages 1--25. 10.1007/s11192-012-0762--1.Google ScholarGoogle Scholar
  2. J. Hirsch. An index to quantify an individual's scientific research output. Proceedings of the National Academy of Sciences of the United States of America, 2005.Google ScholarGoogle ScholarCross RefCross Ref
  3. W. S. Torgerson. Theory and methods of scaling. R.E. Krieger Pub. Co, 1958.Google ScholarGoogle Scholar

Index Terms

  1. D-INDEX: a web environment for analyzing dependences among scientific collaborators

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Conferences
          KDD '12: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
          August 2012
          1616 pages
          ISBN:9781450314626
          DOI:10.1145/2339530

          Copyright © 2012 ACM

          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 12 August 2012

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • demonstration

          Acceptance Rates

          Overall Acceptance Rate1,133of8,635submissions,13%

          Upcoming Conference

          KDD '24

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader