Do PageRank-based author rankings outperform simple citation counts?

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F15%3A43925240" target="_blank" >RIV/49777513:23520/15:43925240 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.joi.2015.02.008" target="_blank" >http://dx.doi.org/10.1016/j.joi.2015.02.008</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.joi.2015.02.008" target="_blank" >10.1016/j.joi.2015.02.008</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Do PageRank-based author rankings outperform simple citation counts?

Popis výsledku v původním jazyce

The basic indicators of a researcher's productivity and impact are still the number of publications and their citation counts. These metrics are clear, straightforward, and easy to obtain. When a ranking of scholars is needed, for instance in grant, award, or promotion procedures, their use is the fastest and cheapest way of prioritizing some scientists over others. However, due to their nature, there is a danger of oversimplifying scientific achievements. Therefore, many other indicators have been proposed including the usage of the PageRank algorithm known for the ranking of webpages and its modifications suited to citation networks. Nevertheless, this recursive method is computationally expensive and even if it has the advantage of favouring prestige over popularity, its application should be well justified, particularly when compared to the standard citation counts. In this study, we analyze three large datasets of computer science papers in the categories of artificial intelligenc

Název v anglickém jazyce

Do PageRank-based author rankings outperform simple citation counts?

Popis výsledku anglicky

The basic indicators of a researcher's productivity and impact are still the number of publications and their citation counts. These metrics are clear, straightforward, and easy to obtain. When a ranking of scholars is needed, for instance in grant, award, or promotion procedures, their use is the fastest and cheapest way of prioritizing some scientists over others. However, due to their nature, there is a danger of oversimplifying scientific achievements. Therefore, many other indicators have been proposed including the usage of the PageRank algorithm known for the ranking of webpages and its modifications suited to citation networks. Nevertheless, this recursive method is computationally expensive and even if it has the advantage of favouring prestige over popularity, its application should be well justified, particularly when compared to the standard citation counts. In this study, we analyze three large datasets of computer science papers in the categories of artificial intelligenc

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název periodika

Journal of Informetrics

ISSN

1751-1577

e-ISSN

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Svazek periodika

9

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

15

Strana od-do

334-348

Kód UT WoS článku

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EID výsledku v databázi Scopus

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