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Scientometric analysis of transport phenomenon literature, 1900-2007
Tsay, Ming-Yueh1, Lin, Yi-Jen2.
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.
Affiliation:
- National Chengchi University, China
- National Chengchi University, China
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Indexation |
Indexed by |
MyJurnal (2019) |
H-Index
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0 |
Immediacy Index
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0.000 |
Rank |
0 |
Indexed by |
Web of Science (JCR 2016) |
Impact Factor
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0.650 |
Rank |
Q3 (Information Science & Library Science) |
Indexed by |
Scopus (SCImago Journal Rankings 2016) |
Impact Factor
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- |
Rank |
Q2 (Library and Information Sciences) |
Additional Information |
0.399 (SJR) |
Indexed by |
MyAIS (Impact 2010) |
Impact Factor
|
2.02 |
Rank |
0 |
Indexed by |
Library Literature and Library and Information Science Abstracts (LISA) |
Impact Factor
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0 |
Rank |
0 |
Additional Information |
SJR 0.439 Cites/Doc.(2years) 0.630 |
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