Deepak Kapur

6.2k citations
235 papers · 4.6k · h-index 37

Impact in

Papers in

Deepak Kapur

223 papers receiving 4.2k citations

Peers

Deepak Kapur
Comparison fields: 5 of 62
  • Computational Theory and Mathematics 1.2k
  • Artificial Intelligence 2.1k
  • Software 76
  • Computer Graphics and Computer-Aided Design 21
  • Numerical Analysis 18
Replace Stephen T. Gilmore with:
Stephen T. Gilmore United Kingdom
Sampath Kannan United States
Tobias Nipkow Germany
Ronitt Rubinfeld United States
Ashish Sabharwal United States
Wan J. Fokkink Netherlands
Claude Kirchner France
Matthew L. Ginsberg United States
Farhad Arbab B Netherlands
Giorgio Ausiello A Italy
Deepak Kapur relative to Stephen T. Gilmore United Kingdom Stephen T. Gilmore's profile →
Citations per field
00.5×2×3×4×4.6×
Stephen T. Gilmore · 1×
Citations per year

Countries citing papers authored by Deepak Kapur

Since Specialization
Citations

This map shows the geographic impact of Deepak Kapur's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Deepak Kapur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Kapur more than expected).

Fields of papers citing papers by Deepak Kapur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deepak Kapur. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Deepak Kapur. The network helps show where Deepak Kapur may publish in the future.

Co-authors

The 25 scholars most cited alongside Deepak Kapur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Deepak Kapur Line = papers co-authored together Deepak Kapur links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 235 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997193
2 1994115
3 1987103
4 198698
5 198794
6 200792
7 199591
8 198686
9 200484
10 200682
11 200781
12 198677
13 198774
14 200672
15
Symbolic and Numerical Computation for Artificial Intelligence
199771
16 198668
17 198565
18
Geometric reasoning
198965
19 199262
20 198955

About Deepak Kapur

Deepak Kapur is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Gender Studies, Computer Vision and Pattern Recognition and Software, having authored 235 papers that have together received 4.6k indexed citations. Recurring topics across this work include Logic, programming, and type systems (123 papers), Polynomial and algebraic computation (47 papers), Formal Methods in Verification (10 papers), Gender and Technology in Education (3 papers), Advanced Vision and Imaging (3 papers), semigroups and automata theory (2 papers), Logic, Reasoning, and Knowledge (2 papers) and Mathematics and Applications (1 paper). The work is most often cited by research in Computational Theory and Mathematics (1.2k citations), Artificial Intelligence (2.1k citations), Software (76 citations), Computer Graphics and Computer-Aided Design (21 citations) and Numerical Analysis (18 citations). Deepak Kapur has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Paliath Narendran, Hantao Zhang, Enric Rodríguez-Carbonell, David R. Musser, Joseph L. Mundy, Mahadevan Subramaniam, Tushar Saxena, Stephan Falke, David McAllester and Pascal Van Hentenryck. Their work appears in journals such as Lecture notes in computer science, Journal of Automated Reasoning, Artificial Intelligence, Theoretical Computer Science and The Journal of Logic Programming.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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