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Generalized Hirsch h-index for disclosing latent facts in citation networks

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Abstract

What is the value of a scientist and its impact upon the scientific thinking? How can we measure the prestige of a journal or a conference? The evaluation of the scientific work of a scientist and the estimation of the quality of a journal or conference has long attracted significant interest, due to the benefits by obtaining an unbiased and fair criterion. Although it appears to be simple, defining a quality metric is not an easy task. To overcome the disadvantages of the present metrics used for ranking scientists and journals, J. E. Hirsch proposed a pioneering metric, the now famous h-index. In this article we demonstrate several inefficiencies of this index and develop a pair of generalizations and effective variants of it to deal with scientist ranking and publication forum ranking. The new citation indices are able to disclose trendsetters in scientific research, as well as researchers that constantly shape their field with their influential work, no matter how old they are. We exhibit the effectiveness and the benefits of the new indices to unfold the full potential of the h-index, with extensive experimental results obtained from the DBLP, a widely known on-line digital library.

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Authors and Affiliations

  1. Informatics Department, Aristotle University, Thessaloniki, 54124, Greece

    Antonis Sidiropoulos, Dimitrios Katsaros & Yannis Manolopoulos

  2. Computer & Communications Engineering Department, University of Thessaly, Volos, Greece

    Dimitrios Katsaros

Authors
  1. Antonis Sidiropoulos
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  2. Dimitrios Katsaros
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  3. Yannis Manolopoulos
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Correspondence to Dimitrios Katsaros.

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Sidiropoulos, A., Katsaros, D. & Manolopoulos, Y. Generalized Hirsch h-index for disclosing latent facts in citation networks. Scientometrics 72, 253–280 (2007). https://doi.org/10.1007/s11192-007-1722-z

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  • DOI: https://doi.org/10.1007/s11192-007-1722-z

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