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The h-index as an almost-exact function of some basic statistics

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F17%3A10238030" target="_blank" >RIV/61989100:27510/17:10238030 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/article/10.1007/s11192-017-2508-6" target="_blank" >https://link.springer.com/article/10.1007/s11192-017-2508-6</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s11192-017-2508-6" target="_blank" >10.1007/s11192-017-2508-6</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    The h-index as an almost-exact function of some basic statistics

  • Original language description

    As is known, the h-index, h, is an exact function of the citation pattern. At the same time, and more generally, it is recognized that h is &quot;loosely&quot; related to the values of some basic statistics, such as the number of publications and the number of citations. In the present study we introduce a formula that expresses the h-index as an almost-exact function of some (four) basic statistics. On the basis of an empirical study-in which we consider citation data obtained from two different lists of journals from two quite different scientific fields-we provide evidence that our ready-to-use formula is able to predict the h-index very accurately (at least for practical purposes). For comparative reasons, alternative estimators of the h-index have been considered and their performance evaluated by drawing on the same dataset. We conclude that, in addition to its own interest, as an effective proxy representation of the h-index, the formula introduced may provide new insights into &quot;factors&quot; determining the value of the h-index, and how they interact with each other.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50206 - Finance

Result continuities

  • Project

    <a href="/en/project/GJ17-23411Y" target="_blank" >GJ17-23411Y: Income distribution in the society: econometric models and dominance criteria for intersecting Lorenz curves</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Scientometrics

  • ISSN

    0138-9130

  • e-ISSN

  • Volume of the periodical

    113

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    20

  • Pages from-to

    1209-1228

  • UT code for WoS article

    000412920200029

  • EID of the result in the Scopus database