Author ranking based on personalized PageRank

Result code in 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>
Result on the web
<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>

Result language
angličtina
Original language name
Author ranking based on personalized PageRank
Original language description
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
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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