Uncertainty Representation
Uncertainty Representation is a formal framework within Knowledge Representation that models incomplete, imprecise, or probabilistic information to enable reasoning under conditions of uncertainty.
6.3K
Publications
504.7K
Citations
10.6K
Authors
2.8K
Institutions
Publications per year
2017–2026
1.6K
6.3K
Judgment under Uncertainty: Heuristics and Biases
Amos Tversky, Daniel Kahneman · Science · 1974 · 28K citations
Judgment under Uncertainty: Heuristics and Biases
Amos Tversky, Daniel Kahneman · 1975 · 23.1K citations
Describing Uncertainty in Single Sample Experiments
S. J. Kline · Mechanical Engineering · 1953 · 6.6K citations
Computing, Mathematics, Statistics +11
1–5 of 6.3K
10.6K
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42
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University of Electronic Science and Technology of China, China
52 publications · 3.2K citations
34
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29
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1–5 of 10.6K
2.8K

Centre National de la Recherche Scientifique
Paris, France
64 h-index
382 publications
33K citations

Université Toulouse III - Paul Sabatier
Toulouse, France
60 h-index
296 publications
31.2K citations
Institut de Recherche en Informatique de Toulouse
Toulouse, France
59 h-index
278 publications
30.3K citations
Institut Polytechnique de Bordeaux
Bordeaux, France
48 h-index
214 publications
24.7K citations

Université Toulouse-I-Capitole
Toulouse, France
48 h-index
207 publications
24.6K citations
Université Toulouse - Jean Jaurès
Toulouse, France
48 h-index
207 publications
24.6K citations
Stanford University
Stanford, United States
41 h-index
149 publications
17.9K citations
University of California, Berkeley
Berkeley, United States
39 h-index
106 publications
23.5K citations
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TFS · 170 publications · 19.9K citations
65
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162 publications · 17.1K citations
53
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142 publications · 38.4K citations
53
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137 publications · 9.4K citations
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Repository · 174 publications · 12.7K citations
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