Author ranking based on personalized PageRank
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F15%3A43925819" target="_blank" >RIV/49777513:23520/15:43925819 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1016/j.joi.2015.07.002" target="_blank" >http://dx.doi.org/10.1016/j.joi.2015.07.002</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.joi.2015.07.002" target="_blank" >10.1016/j.joi.2015.07.002</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Author ranking based on personalized PageRank
Popis výsledku v původním jazyce
In this paper we evaluate citation networks of authors, publications and journals, constructed from the ISI Web of Science database (Computer Science categories). Our aim was to find a method with which to rank authors of scientific papers so that the most important occupy the top positions. We utilized a hand-made list of authors, each of whom have received an ACM Fellowship or have been awarded by an ACM SIG (Artificial Intelligence or Hardware categories). The developed method also included the adoption of the PageRank algorithm, which can be considered a measure of prestige, as well as other measures of significance (h-index, publication count, citation count, publication's author count), with these measures analyzed regarding their influence on the final rankings. Our main objective, to determine whether a better author ranking can be obtained using journal values, was achieved. The best of our author ranking systems was obtained by using journal impact values in PageRank, which w
Název v anglickém jazyce
Author ranking based on personalized PageRank
Popis výsledku anglicky
In this paper we evaluate citation networks of authors, publications and journals, constructed from the ISI Web of Science database (Computer Science categories). Our aim was to find a method with which to rank authors of scientific papers so that the most important occupy the top positions. We utilized a hand-made list of authors, each of whom have received an ACM Fellowship or have been awarded by an ACM SIG (Artificial Intelligence or Hardware categories). The developed method also included the adoption of the PageRank algorithm, which can be considered a measure of prestige, as well as other measures of significance (h-index, publication count, citation count, publication's author count), with these measures analyzed regarding their influence on the final rankings. Our main objective, to determine whether a better author ranking can be obtained using journal values, was achieved. The best of our author ranking systems was obtained by using journal impact values in PageRank, which w
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
IN - Informatika
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2015
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Journal of Informetrics
ISSN
1751-1577
e-ISSN
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Svazek periodika
9
Číslo periodika v rámci svazku
4
Stát vydavatele periodika
NL - Nizozemsko
Počet stran výsledku
23
Strana od-do
777-799
Kód UT WoS článku
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EID výsledku v databázi Scopus
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