The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Deepak Kapur sits on this spectrum.
This scientist: 256 publications — 64th percentile
64% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Deepak Kapur sits on this spectrum.
This scientist: 53 D-Index — 67th percentile
67% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Deepak Kapur is affiliated with the University of New Mexico in the United States and works primarily in the field of Computer Science. Their research spans several subfields, with a strong focus on Computational Theory and Mathematics, Artificial Intelligence, and Computational Mechanics. Additional contributions touch on Computer Networks and Communications as well as Information Systems.
The scientist's recent publications illustrate a breadth of topics within theoretical computer science. Selected papers include:
Kapur's research addresses diverse topics such as logic, programming, and type systems; formal methods in verification; polynomial and algebraic computation; semigroups and automata theory; advanced numerical analysis techniques; as well as logic, reasoning, and knowledge. These areas represent key thematic strands within their career.
Frequent collaborators with Kapur include Silvio Ghilardi, Alessandro Gianola, Chiara Naso, Franz Baader, and Wayne Witzel. These collaborations indicate an active engagement with peers specializing in related theoretical and computational topics.
The scientist often publishes in venues focusing on logic and formal methods including arXiv (Cornell University), Logical Methods in Computer Science, ACM Transactions on Computational Logic, Journal of Automated Reasoning, and Proceedings on Privacy Enhancing Technologies. These venues reflect the academic communities to which Kapur contributes.
Overall, Deepak Kapur's scholarly work integrates advanced theoretical and computational approaches within computer science, contributing across several intersecting disciplines and collaborating with a range of experts in the field.
Pascal Van Hentenryck;David McAllester;Deepak Kapur
D. Kapur;H. Zhang
Deepak Kapur;Paliath Narendran
Deepak Kapur;Tushar Saxena;Lu Yang
Dan Benanav;Deepak Kapur;Paliath Narendran
Deepak Kapur;David R. Musser
Deepak Kapur
Deepak Kapur;Paliath Narendran
Deepak Kapur;Joseph L. Mundy
E. Rodríguez-Carbonell;D. Kapur
Hantao Zhang;Deepak Kapur;Deepak Kapur;Mukkai S. Krishnamoorthy
Deepak Kapur;Paliath Narendran;Hantao Zhang
Deepak Kapur
Deepak Kapur
Enric Rodríguez-Carbonell;Deepak Kapur
E. Rodríguez-Carbonell;D. Kapur
Deepak Kapur;Paliath Narendran
Deepak Kapur;Rupak Majumdar;Calogero G. Zarba
Deepak Kapur;Paliath Narendran
Deepak Kapur
Deepak Kapur
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