The h-index as an almost-exact function of some basic statistics
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
The h-index as an almost-exact function of some basic statistics
Popis výsledku v původním jazyce
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 "loosely" 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 "factors" determining the value of the h-index, and how they interact with each other.
Název v anglickém jazyce
The h-index as an almost-exact function of some basic statistics
Popis výsledku anglicky
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 "loosely" 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 "factors" determining the value of the h-index, and how they interact with each other.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
50206 - Finance
Návaznosti výsledku
Projekt
<a href="/cs/project/GJ17-23411Y" target="_blank" >GJ17-23411Y: Rozdělení příjmu ve společnosti: ekonometrické modely a kritéria dominance protínající Lorenzovy křivky</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Scientometrics
ISSN
0138-9130
e-ISSN
—
Svazek periodika
113
Číslo periodika v rámci svazku
2
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
20
Strana od-do
1209-1228
Kód UT WoS článku
000412920200029
EID výsledku v databázi Scopus
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