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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
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Published on: October 24, 2019

Detecting h-index manipulation through self-citation analysis.

Christoph Bartneck, Servaas Kokkelmans

    Scientometrics
    |April 8, 2011
    PubMed
    Summary
    This summary is machine-generated.

    Researchers can inflate their h-index using self-citations. A new q-index is proposed to detect manipulation, highlighting that high citation by others and productivity are key for a genuine high h-index.

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    Area of Science:

    • Bibliometrics
    • Scientometrics
    • Research Evaluation

    Background:

    • The h-index is a widely used metric for assessing researcher and organizational impact.
    • Concerns exist regarding the potential for manipulation of the h-index through self-citation practices.

    Purpose of the Study:

    • To investigate the extent to which authors can inflate their h-index via strategic self-citations.
    • To introduce a new metric, the q-index, for detecting h-index manipulation.

    Main Methods:

    • Simulation using an extended Burrell's publication model.
    • Implementation of three self-citation strategies: random, recent, and h-manipulating.

    Main Results:

    • Authors can significantly inflate their h-index through self-citations.
    • The q-index effectively identifies strategic self-citation patterns.
    • High citation rates from other researchers and overall productivity positively impact the h-index.

    Conclusions:

    • Self-citation strategies can artificially elevate the h-index.
    • The q-index offers a valuable tool for identifying potential h-index manipulation.
    • Genuine research impact, evidenced by external citations and productivity, remains the most effective way to achieve a high h-index.