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題名 Citation Analysis and Bibliometric Approach for Ant Colony Optimization from 1996 to 2010
作者 林我聰
Deng, Guang-Feng; Lin, Woo-Tsong
貢獻者 資管系
關鍵詞 Citation analysis; Bibliometric analysis; Ant colony optimization (ACO); Bradford Law; Lotka’s Law
日期 2012-05
上傳時間 18-Feb-2014 15:17:20 (UTC+8)
摘要 To build awareness of the development of ant colony optimization (ACO), this study clarifies the citation and bibliometric analysis of research publications of ACO during 1996–2010. This study analysed 12,960 citations from a total of 1372 articles dealing with ACO published in 517 journals based on the databases of SCIE, SSCI and AH&CI, retrieved via the Web of Science. Bradford Law and Lotka’s Law, respectively, examined the distribution of journal articles and author productivity. Furthermore, this study determines the citation impact of ACO using parameters such as extent of citation received in terms of number of citations per study, distribution of citations over time, distribution of citations among domains, citation of authors, citation of institutions, highly cited papers and citing journals and impact factor of 12,960 citations. This study can help researchers to better understand the history, current status and trends of ACO in the advanced study of it.
關聯 Expert Systems with Applications, 39(6), 6229-6237
資料來源 http://dx.doi.org/10.1016/j.eswa.2011.12.001
資料類型 article
DOI http://dx.doi.org/http://dx.doi.org/10.1016/j.eswa.2011.12.001
dc.contributor 資管系en_US
dc.creator (作者) 林我聰zh_TW
dc.creator (作者) Deng, Guang-Feng; Lin, Woo-Tsongen_US
dc.date (日期) 2012-05en_US
dc.date.accessioned 18-Feb-2014 15:17:20 (UTC+8)-
dc.date.available 18-Feb-2014 15:17:20 (UTC+8)-
dc.date.issued (上傳時間) 18-Feb-2014 15:17:20 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/63945-
dc.description.abstract (摘要) To build awareness of the development of ant colony optimization (ACO), this study clarifies the citation and bibliometric analysis of research publications of ACO during 1996–2010. This study analysed 12,960 citations from a total of 1372 articles dealing with ACO published in 517 journals based on the databases of SCIE, SSCI and AH&CI, retrieved via the Web of Science. Bradford Law and Lotka’s Law, respectively, examined the distribution of journal articles and author productivity. Furthermore, this study determines the citation impact of ACO using parameters such as extent of citation received in terms of number of citations per study, distribution of citations over time, distribution of citations among domains, citation of authors, citation of institutions, highly cited papers and citing journals and impact factor of 12,960 citations. This study can help researchers to better understand the history, current status and trends of ACO in the advanced study of it.en_US
dc.format.extent 383075 bytes-
dc.format.mimetype application/pdf-
dc.language.iso en_US-
dc.relation (關聯) Expert Systems with Applications, 39(6), 6229-6237en_US
dc.source.uri (資料來源) http://dx.doi.org/10.1016/j.eswa.2011.12.001en_US
dc.subject (關鍵詞) Citation analysis; Bibliometric analysis; Ant colony optimization (ACO); Bradford Law; Lotka’s Lawen_US
dc.title (題名) Citation Analysis and Bibliometric Approach for Ant Colony Optimization from 1996 to 2010en_US
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1016/j.eswa.2011.12.001en_US
dc.doi.uri (DOI) http://dx.doi.org/http://dx.doi.org/10.1016/j.eswa.2011.12.001en_US