Quantitative Forecasting Models
Quantitative Forecasting Models is a formal analytical framework that employs mathematical and statistical techniques to predict future conflict events based on historical and empirical data, distinguished from qualitative approaches by its reliance on numerical data and algorithmic processing to generate systematic, replicable forecasts.
201
Publications
10.3K
Citations
566
Authors
318
Institutions
Publications per year
2017–2026
65
201
Ecological forecasting and data assimilation in a data-rich era
Yiqi Luo, Kiona Ogle, Colin Tucker et al. · Ecological Applications · 2011 · 343 citations
1–5 of 201
566
6
h-index
6
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5
h-index
4
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4
h-index
1–5 of 566
318
Duke University
Durham, United States
6 h-index
12 publications
1.3K citations

Peace Research Institute Oslo
Oslo, Norway
6 h-index
11 publications
913 citations
University of Maryland, College Park
College Park, United States
5 h-index
12 publications
869 citations
University of California San Diego
San Diego, United States
5 h-index
6 publications
870 citations
New York University
New York, United States
5 h-index
9 publications
1K citations
Ludwig-Maximilians-Universität München
Munich, Germany
5 h-index
6 publications
207 citations

Harvard University Press
Cambridge, United States
5 h-index
13 publications
718 citations

Uppsala University
Uppsala, Sweden
4 h-index
29 publications
3.5K citations
1–8 of 318
Repository · 7 publications · 261 citations
7
h-index
5 publications · 407 citations
5
h-index
5 publications · 319 citations
5
h-index
4 publications · 260 citations
4
h-index
GS · 4 publications · 95 citations
4
h-index
1–5