Journal Impact Forecasting
Journal Impact Forecasting is a bibliometric forecasting method that predicts the future impact of academic journals by estimating their prospective citation performance based on historical and contextual publication data.
13
Publications
1.4K
Citations
39
Authors
32
Institutions
Publications per year
2017–2026
4
Parents
13
Quantifying Long-Term Scientific Impact
Dashun Wang, Chaoming Song, Albert-Ĺaszló Barabási · Science · 2013 · 873 citations · Full text
Management, History, Forecasting +16
Long-term vs. short-term journal impact: does it matter?
Eugene Garfield · PubMed · 1998 · 100 citations
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32
Harvard University
Cambridge, United States
2 h-index
3 publications
893 citations
Dana-Farber Cancer Institute
Boston, United States
1 h-index
1 publications
873 citations
Istituto di Analisi dei Sistemi ed Informatica Antonio Ruberti
Rome, Italy
1 h-index
2 publications
240 citations

Universität Innsbruck
Innsbruck, Austria
1 h-index
2 publications
20 citations
National Ilan University
Yilan, Taiwan
1 h-index
2 publications
20 citations
University of California, Santa Cruz
Santa Cruz, United States
1 h-index
1 publications
10 citations
Catholic University of America
Washington D.C., United States
1 h-index
2 publications
54 citations
University of Miami
Coral Gables, United States
1 h-index
1 publications
873 citations
1–8 of 32
1 publications · 873 citations
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1 publications · 14 citations
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1 publications · 48 citations
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1 publications · 10 citations
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1 publications · 10 citations
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