Model Counting

Model counting is a fundamental problem in automated reasoning and theoretical computer science focused on determining the number of satisfying assignments (models) for a given logical formula. This computationally challenging (#P-complete) problem is central to various applications and motivates research into efficient exact and approximate algorithms, including methods offering probabilistic guarantees on the count.

168

Publications

12.4K

Citations

346

Authors

169

Institutions

Publications per year

2017–2026

41

Authors

346

Leading researchers in Model Counting. Counts cover only their work on this concept, not their overall record.

PublicationsCitationsH-Index
KS

National University of Singapore

8

359

8

JL

Université d'Artois

7

125

7

PM

Université d'Artois

7

125

7

MY

Rice University

7

314

7

6

211

6

Rows per page

1–5 of 346

Institutions

169

Leading universities and research organizations in Model Counting. Counts cover only their work on this concept, not their overall record.

PublicationsCitationsH-Index
University of Washington

Seattle, United States

24

1.4K

11

KU Leuven

Leuven, Belgium

13

388

7

9

372

7

14

231

5

12

200

5

Rows per page

1–5 of 169

Venues

Leading journals and conferences in Model Counting. Counts cover only their publications on this concept, not their overall record.