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Statements

Subject Item
n2:RIV%2F49777513%3A23520%2F14%3A43922491%21RIV15-MSM-23520___
rdf:type
n6:Vysledek skos:Concept
dcterms:description
This paper explores a possible approach to a research evaluation, by calculating the renown of authors of scientific papers. The evaluation is based on the citation analysis and its results should be close to a human viewpoint. The PageRank algorithm and its modifications were used for the evaluation of various types of citation networks. Our main research question was whether better evaluation results were based directly on an author network or on a publication network. Other issues concerned, for example, the determination of weights in the author network and the distribution of publication scores among their authors. The citation networks were extracted from the computer science domain in the ISI Web of Science database. The influence of self-citations was also explored. To find the best network for a research evaluation, the outputs of PageRank were compared with lists of prestigious awards in computer science such as the Turing and Codd award, ISI Highly Cited and ACM Fellows. Our experiments proved that the best ranking of authors was obtained by using a publication citation network from which self-citations were eliminated, and by distributing the same proportional parts of the publications' values to their authors. The ranking can be used as a criterion for the financial support of research teams, for identifying leaders of such teams, etc. This paper explores a possible approach to a research evaluation, by calculating the renown of authors of scientific papers. The evaluation is based on the citation analysis and its results should be close to a human viewpoint. The PageRank algorithm and its modifications were used for the evaluation of various types of citation networks. Our main research question was whether better evaluation results were based directly on an author network or on a publication network. Other issues concerned, for example, the determination of weights in the author network and the distribution of publication scores among their authors. The citation networks were extracted from the computer science domain in the ISI Web of Science database. The influence of self-citations was also explored. To find the best network for a research evaluation, the outputs of PageRank were compared with lists of prestigious awards in computer science such as the Turing and Codd award, ISI Highly Cited and ACM Fellows. Our experiments proved that the best ranking of authors was obtained by using a publication citation network from which self-citations were eliminated, and by distributing the same proportional parts of the publications' values to their authors. The ranking can be used as a criterion for the financial support of research teams, for identifying leaders of such teams, etc.
dcterms:title
PageRank variants in the evaluation of citation networks PageRank variants in the evaluation of citation networks
skos:prefLabel
PageRank variants in the evaluation of citation networks PageRank variants in the evaluation of citation networks
skos:notation
RIV/49777513:23520/14:43922491!RIV15-MSM-23520___
n3:aktivita
n4:S n4:P
n3:aktivity
P(7AMB14SK090), P(ED1.1.00/02.0090), S
n3:cisloPeriodika
3
n3:dodaniDat
n10:2015
n3:domaciTvurceVysledku
n16:3421252 n16:4117867 n16:3695778 n16:6999069
n3:druhVysledku
n19:J
n3:duvernostUdaju
n18:S
n3:entitaPredkladatele
n13:predkladatel
n3:idSjednocenehoVysledku
35598
n3:idVysledku
RIV/49777513:23520/14:43922491
n3:jazykVysledku
n8:eng
n3:klicovaSlova
ISI Web of Science.; author ranking; research evaluation; citation analysis; PageRank
n3:klicoveSlovo
n5:research%20evaluation n5:PageRank n5:author%20ranking n5:citation%20analysis n5:ISI%20Web%20of%20Science.
n3:kodStatuVydavatele
NL - Nizozemsko
n3:kontrolniKodProRIV
[068D31F5FA51]
n3:nazevZdroje
Journal of Informetrics
n3:obor
n11:IN
n3:pocetDomacichTvurcuVysledku
4
n3:pocetTvurcuVysledku
4
n3:projekt
n7:7AMB14SK090 n7:ED1.1.00%2F02.0090
n3:rokUplatneniVysledku
n10:2014
n3:svazekPeriodika
8
n3:tvurceVysledku
Dostal, Martin Nykl, Michal Fiala, Dalibor Ježek, Karel
s:issn
1751-1577
s:numberOfPages
10
n17:doi
10.1016/j.joi.2014.06.005
n15:organizacniJednotka
23520