Bibliometric Forecasting
Bibliometric Forecasting is a technology forecasting methodology that applies quantitative bibliometric analysis of scientific and technical documents (such as publications, citations, and patents) to infer and project future developments in research fields and technological innovation.
1.5K
Publications
94.5K
Citations
4.5K
Authors
1.8K
Institutions
Publications per year
2017–2026
1K
Parents
1.5K
The journal coverage of Web of Science and Scopus: a comparative analysis
Philippe Mongeon, Adèle Paul‐Hus · Scientometrics · 2015 · 4.7K citations · Full text
1–5 of 1.5K
4.5K
13
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12
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9
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9
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9
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1.8K
Wuhan University
Wuhan, China
15 h-index
47 publications
2.4K citations

Peking University
Beijing, China
15 h-index
40 publications
3.2K citations
University of Almería
Almería, Spain
14 h-index
27 publications
3.4K citations

Sichuan University
Chengdu, China
14 h-index
33 publications
1.9K citations

Chinese Academy of Sciences
Beijing, China
13 h-index
26 publications
1.2K citations
Malaviya National Institute of Technology Jaipur
Jaipur, India
13 h-index
25 publications
4.9K citations
Leiden University
Leiden, The Netherlands
13 h-index
18 publications
1.5K citations

Zhejiang University
Hangzhou, China
12 h-index
23 publications
794 citations
1–8 of 1.8K
164 publications · 19.3K citations
48
h-index
64 publications · 4.1K citations
36
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40 publications · 2.2K citations
28
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26 publications · 4.1K citations
24
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25 publications · 1.5K citations
20
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