Daniel R. Licata

969 citations
36 papers · 425 · h-index 14

Impact in

Papers in

Daniel R. Licata

32 papers receiving 410 citations

Peers

Daniel R. Licata
Comparison fields: 5 of 29
  • Software 72
  • Computational Theory and Mathematics 192
  • Artificial Intelligence 349
  • Mathematical Physics 68
  • Geometry and Topology 46
Replace Roger Villemaire with:
Roger Villemaire Canada
Peter Dybjer Sweden
Thorsten Altenkirch United Kingdom
Tarmo Uustalu Estonia
Elizabeth Scott United Kingdom
Kevin J. Compton United States
C. Barry Jay Australia
Hans Zantema Netherlands
Alexandra Silva Netherlands
Paliath Narendran United States
Daniel R. Licata relative to Roger Villemaire Canada Roger Villemaire's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel R. Licata

Since Specialization
Citations

This map shows the geographic impact of Daniel R. Licata'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 Daniel R. Licata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel R. Licata more than expected).

Fields of papers citing papers by Daniel R. Licata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Licata. 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 Daniel R. Licata. The network helps show where Daniel R. Licata may publish in the future.

Co-authors

The 9 scholars most cited alongside Daniel R. Licata, 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 Daniel R. Licata Line = papers co-authored together Daniel R. Licata links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200753
2 201530
3 200928
4 200828
5 201327
6 200424
7 201023
8 201422
9 200420
10 201219
11 201117
12 201715
13 201214
14 201913
15 201412
16 20219
17 20169
18 20208
19 20208
20 20167

About Daniel R. Licata

Daniel R. Licata is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Mathematical Physics and Software, having authored 36 papers that have together received 425 indexed citations. Recurring topics across this work include Logic, programming, and type systems (32 papers), Logic, Reasoning, and Knowledge (15 papers), Formal Methods in Verification (15 papers), Software Engineering Research (11 papers), Homotopy and Cohomology in Algebraic Topology (6 papers), Security and Verification in Computing (6 papers), Software Testing and Debugging Techniques (3 papers) and Advanced Algebra and Logic (3 papers). The work is most often cited by research in Software (72 citations), Computational Theory and Mathematics (192 citations), Artificial Intelligence (349 citations), Mathematical Physics (68 citations) and Geometry and Topology (46 citations). Daniel R. Licata has collaborated with scholars based in United States, France and Sweden. Frequent co-authors include Robert Harper, Shriram Krishnamurthi, Michael Shulman, Jamie Morgenstern, Noam Zeilberger, Amal Ahmed, Thierry Coquand, Peter LeFanu Lumsdaine and Karl Crary. Their work appears in journals such as ACM SIGPLAN Notices, Journal of Functional Programming, Proceedings of the ACM on Programming Languages, Mathematical Structures in Computer Science and Electronic Notes in Theoretical 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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