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題名 Scientometric analysis of transport phenomenon literature, 1900-2007
作者 蔡明月
林怡甄
Ming-Yueh Tsay
Yi-Jen Lin
貢獻者 政大圖檔所
關鍵詞 transport phenomenon literature
Bibliometrics; Scientometrics; Citation Analysis; Bradford-Zipf’s law; Lotka’s law
日期 2009-12
上傳時間 24-May-2011 09:34:55 (UTC+8)
摘要 The present study explores the characteristics of transport phenomenon literature from 1900 to 2007 based on the Science Citation Index Expanded (SCITM Expanded) database and its implication using two scientometric techniques, namely Bradford-Zipf’s law and Lotka’s law. The results of this work reveal that the literature on transport phenomenon grows exponentially with an annual growth rate of about 8.67% for the last century. The document type and language distribution, country and institution productivity, core journals, journals with highly cited documents, most highly cited articles and leading authors on transport phenomenon are identified. The present study indicates that the journal literature on transport phenomenon confirms the typical S-shape for the Bradford-Zipf plot. The author productivity distribution however does not confirm with Lotka’s law by the Kolmogorov-Smirnov (K-S) goodness of fit test.
關聯 malaysian journal of library & information science, 14(3), 35-58
資料類型 article
dc.contributor 政大圖檔所en
dc.creator (作者) 蔡明月zh_TW
dc.creator (作者) 林怡甄zh_TW
dc.creator (作者) Ming-Yueh Tsay-
dc.creator (作者) Yi-Jen Lin-
dc.date (日期) 2009-12-
dc.date.accessioned 24-May-2011 09:34:55 (UTC+8)-
dc.date.available 24-May-2011 09:34:55 (UTC+8)-
dc.date.issued (上傳時間) 24-May-2011 09:34:55 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/50468-
dc.description.abstract (摘要) The present study explores the characteristics of transport phenomenon literature from 1900 to 2007 based on the Science Citation Index Expanded (SCITM Expanded) database and its implication using two scientometric techniques, namely Bradford-Zipf’s law and Lotka’s law. The results of this work reveal that the literature on transport phenomenon grows exponentially with an annual growth rate of about 8.67% for the last century. The document type and language distribution, country and institution productivity, core journals, journals with highly cited documents, most highly cited articles and leading authors on transport phenomenon are identified. The present study indicates that the journal literature on transport phenomenon confirms the typical S-shape for the Bradford-Zipf plot. The author productivity distribution however does not confirm with Lotka’s law by the Kolmogorov-Smirnov (K-S) goodness of fit test.-
dc.language zh_TWen
dc.language.iso en_US-
dc.relation (關聯) malaysian journal of library & information science, 14(3), 35-58en
dc.subject (關鍵詞) transport phenomenon literatureen
dc.subject (關鍵詞) Bibliometrics; Scientometrics; Citation Analysis; Bradford-Zipf’s law; Lotka’s law-
dc.title (題名) Scientometric analysis of transport phenomenon literature, 1900-2007en
dc.type (資料類型) articleen