Deep Inference
Deep Inference is a proof-theoretic methodology in structural proof theory that allows inference rules to operate at any depth within logical formulae, as opposed to only at the root of proof trees, thereby enabling more refined analytic proofs and finer control over proof construction through local rewriting.
308
Publications
16.1K
Citations
1.2K
Authors
357
Institutions
Publications per year
2017–2026
244
Parents
1.2K
7
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6
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6
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6
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5
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1–5 of 1.2K
357
ETH Zurich
Zurich, Switzerland
10 h-index
21 publications
2K citations
Google (United States)
Mountain View, United States
10 h-index
29 publications
702 citations
University College London
London, United Kingdom
9 h-index
24 publications
1.6K citations
University of Cambridge
Cambridge, United Kingdom
7 h-index
8 publications
1.1K citations
IBM Research - Zurich
Rüschlikon, Switzerland
7 h-index
50 publications
12.9K citations
Massachusetts Institute of Technology
Cambridge, United States
6 h-index
13 publications
1.2K citations

Chinese Academy of Sciences
Beijing, China
6 h-index
16 publications
445 citations

University of Bologna
Bologna, Italy
6 h-index
17 publications
1.9K citations
1–8 of 357
Repository · 48 publications · 1.9K citations
23
h-index
Conference · 5 publications · 124 citations
5
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3 publications · 532 citations
3
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TECS · 3 publications · 162 citations
3
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Conference · 3 publications · 66 citations
3
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1–5