Chad E. Brown

745 citations
22 papers · 171 · h-index 9

Impact in

Papers in

Chad E. Brown

17 papers receiving 138 citations

Peers

Chad E. Brown
Comparison fields: 5 of 27
  • Computational Theory and Mathematics 109
  • Artificial Intelligence 158
  • Software 10
  • Hardware and Architecture 17
  • Computational Mathematics 1
Replace Kevin Millikin with:
Kevin Millikin Denmark
Joachim Breitner United States
Elio Giovannetti Italy
Sunil Issar United States
Fairouz Kamareddine United Kingdom
Neil V. Murray United States
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Citations per year

Countries citing papers authored by Chad E. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Chad E. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chad E. Brown. 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 Chad E. Brown. The network helps show where Chad E. Brown may publish in the future.

Co-authors

The 13 scholars most cited alongside Chad E. Brown, 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 Chad E. Brown Line = papers co-authored together Chad E. Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200458
2 200522
3 201115
4 201313
5 200412
6
Automated Reasoning in Higher-Order Logic: Set Comprehension and Extensionality in Church's Type Theory
200712
7 20098
8 20108
9
Set comprehension in church's type theory
20048
10
Reasoning in simple type theory — Festschrift in honor of Peter B. Andrews on his 70th birthday, Studies in Logic, vol. 17
20103
11 20232
12
The curious inference of Boolos in MIZAR and OMEGA
20072
13
Semantic Techniques for Cut-Elimination in Higher Order Logic.
20032
14
Cut Elimination with Xi-Functionality
20082
15 20231
16 20141
17
Proof Representations for Higher-Order Logic
20091
18
Cut-Simulation in Impredicative Logics (extended version)
20061
19 20240
20 20190

About Chad E. Brown

Chad E. Brown is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Oceanography and Ecology, Evolution, Behavior and Systematics, having authored 22 papers that have together received 171 indexed citations. Recurring topics across this work include Logic, programming, and type systems (19 papers), Logic, Reasoning, and Knowledge (18 papers), Formal Methods in Verification (8 papers), Semantic Web and Ontologies (5 papers), Advanced Algebra and Logic (4 papers), Computability, Logic, AI Algorithms (4 papers), Marine Biology and Ecology Research (1 paper) and History and Theory of Mathematics (1 paper). The work is most often cited by research in Computational Theory and Mathematics (109 citations), Artificial Intelligence (158 citations), Software (10 citations), Hardware and Architecture (17 citations) and Computational Mathematics (1 citation). Chad E. Brown has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Michael Kohlhase, Christoph Benzmüller, Peter B. Andrews, Gert Smolka, Frank Pfenning, Sunil Issar, Hongwei Xi, Christine Rizkallah, Cezary Kaliszyk and Richard Statman. Their work appears in journals such as Journal of Automated Reasoning, Logical Methods in Computer Science, Journal of Symbolic Logic, Journal of Applied Logic and EPiC series in computing.

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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