2012
DOI: 10.1007/s11192-012-0933-0
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Predicting author h-index using characteristics of the co-author network

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Cited by 61 publications
(37 citation statements)
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“…Similar findings argued that sparse networks (with high betweenness centrality and average path length) exhibit higher levels of citations compared with dense networks20. However, contrastingly, a study conducted on a randomly selected sample of 238 authors from the Web of Science, indicated that, within personal coauthorship networks, betweenness centrality does not have any impact on the Hirsch-index score19. Furthermore, it was showed19 that personal networks’ size (number of alters) significantly accounts for 59% of the h-index scores of the egos.…”
mentioning
confidence: 80%
See 1 more Smart Citation
“…Similar findings argued that sparse networks (with high betweenness centrality and average path length) exhibit higher levels of citations compared with dense networks20. However, contrastingly, a study conducted on a randomly selected sample of 238 authors from the Web of Science, indicated that, within personal coauthorship networks, betweenness centrality does not have any impact on the Hirsch-index score19. Furthermore, it was showed19 that personal networks’ size (number of alters) significantly accounts for 59% of the h-index scores of the egos.…”
mentioning
confidence: 80%
“…Commonly, at an individual level of analysis, coauthorship data have been used as inputs to build up coauthorship (collaboration) networks, in the form of either whole-networks71013141516, or in the form of personal networks (ego-neworks)17181920.…”
mentioning
confidence: 99%
“…The indicators namely as total numbers of publication, [52,53] citation analysis, [54,55] h-index, [56] g-index, [57] years of publication, [49][50][51][52][53][54][55][56][57][58] collaboration between countries [59] and others. Difference indicators can give difference outline and indication towards research.…”
Section: Indicators In Bibliometric Analysismentioning
confidence: 99%
“…Ñëåäóåò ó÷èòûâàòü, ÷òî ÷èñëî öèòèðîâàíèé è äèíàìèêà èçìåíåíèÿ ÷èñëà öèòèðî-âàíèé çàâèñÿò îò ÷èñëà ñîàâòîðîâ ïóáëèêàöèè, à òàêaeå îò èõ èçâåñòíîñòè â íàó÷íûõ êðóãàõ [22]. Èíòóèòèâíî ïîíÿòíî, ÷òî øàíñîâ ïðèâëå÷ü ê ñåáå âíèìàíèå ïðè ïðî÷èõ ðàâíûõ óñëîâèÿõ áîëüøå ó òîé ñòàòüè, ñðåäè ñîàâòîðîâ êîòîðîé èìååòñÿ èçâåñòíûé ó÷åíûé.…”
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