Chad E. Brown

738 citations
22 papers · 170 indexed · h-index 9

Impact in

Papers in

Chad E. Brown

17 papers receiving 137 citations

Peers

Chad E. Brown
Comparison fields: 5 of 27
  • Computational Theory and Mathematics 108
  • Artificial Intelligence 157
  • Software 10
  • Hardware and Architecture 17
  • Computational Mathematics 1
Replace Kevin Millikin with:
Kevin Millikin Denmark
Elio Giovannetti Italy
Sunil Issar United States
Fairouz Kamareddine United Kingdom
Femke van Raamsdonk Netherlands
John Longley United Kingdom
Beniamino Accattoli France
Naoki Nishida Japan
Noam Zeilberger France
Sascha Böhme Germany
Chad E. Brown relative to Kevin Millikin Denmark Kevin Millikin's profile →
Citations per field
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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-authorship network

The 12 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
#Work
1 20240
2 20232
3 20231
4 20190
5 20150
6
The Egal Manual
20140
7 20141
8 201312
9 201115
10 20108
11 20098
12
Proof Representations for Higher-Order Logic
20091
13
Cut Elimination with Xi-Functionality
20082
14
The curious inference of Boolos in MIZAR and OMEGA
20072
15
Cut-Simulation in Impredicative Logics (extended version)
20061
16 200522
17 200458
18
Set comprehension in church's type theory
20048
19 200412
20
Semantic Techniques for Cut-Elimination in Higher Order Logic.
20032

About Chad E. Brown

Chad E. Brown is a scholar working on Computational Theory and Mathematics, Theoretical Computer Science, Artificial Intelligence, Software and Oceanography, having authored 22 papers that have together received 170 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), Computability, Logic, AI Algorithms (4 papers), Advanced Algebra and Logic (4 papers), Crustacean biology and ecology (1 paper) and Advanced Database Systems and Queries (1 paper). The work is most often cited by research in Computational Theory and Mathematics (108 citations), Artificial Intelligence (157 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, Mikoláš Janota, Richard Statman and Cezary Kaliszyk. 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 MPG.PuRe (Max Planck Society).

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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