Deepak Kapur

6.2k citations
235 papers · 4.5k · h-index 38

Impact in

Papers in

Deepak Kapur

220 papers receiving 4.1k citations

Peers

Deepak Kapur
Comparison fields: 5 of 110
  • Computational Theory and Mathematics 3.0k
  • Software 684
  • Artificial Intelligence 2.9k
  • Theoretical Computer Science 69
  • Algebra and Number Theory 223
Replace Michael O. Rabin with:
Michael O. Rabin United States
Yuri Gurevich United States
Albert R. Meyer United States
Anil Nerode United States
J. W. Thatcher United States
Tobias Nipkow Germany
Jan Van Leeuwen Netherlands
Larry J. Stockmeyer United States
Georges Gonthier France
Donald Knuth United States
Deepak Kapur relative to Michael O. Rabin United States Michael O. Rabin's profile →
Citations per field
00.5×2×3.1×
Michael O. Rabin · 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 1997192
2 1994114
3 1987107
4 198698
5 198796
6 199589
7 200788
8 198688
9 200482
10 200678
11 198677
12
Symbolic and Numerical Computation for Artificial Intelligence
199773
13 198772
14 198669
15
Geometric reasoning
198969
16 200665
17 198565
18 199260
19 199756
20 198554

About Deepak Kapur

Deepak Kapur is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Software, Computer Networks and Communications and Hardware and Architecture, having authored 235 papers that have together received 4.5k indexed citations. Recurring topics across this work include Logic, programming, and type systems (127 papers), Formal Methods in Verification (103 papers), Polynomial and algebraic computation (43 papers), Logic, Reasoning, and Knowledge (43 papers), Software Testing and Debugging Techniques (23 papers), semigroups and automata theory (21 papers), Parallel Computing and Optimization Techniques (13 papers) and Advanced Numerical Analysis Techniques (13 papers). The work is most often cited by research in Computational Theory and Mathematics (3.0k citations), Software (684 citations), Artificial Intelligence (2.9k citations), Theoretical Computer Science (69 citations) and Algebra and Number Theory (223 citations). Deepak Kapur has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Paliath Narendran, Hantao Zhang, Enric Rodríguez-Carbonell, David R. Musser, Joseph L. Mundy, Mahadevan Subramaniam, Tushar Saxena, David McAllester, Stephan Falke 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 Logical Methods in Computer Science.

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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