Brian Huffman
Impact in
- Software top 10%
- Software Testing and Debugging Techniques
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- Formal Methods in Verification
Papers in
-
- Logic, programming, and type systems 8
- Logic, Reasoning, and Knowledge 7
- Security and Verification in Computing 5
- Cryptographic Implementations and Security 3
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- Formal Methods in Verification 4
- Advanced Algebra and Logic 3
- Co-authors
- Fabian Immler (1 shared paper)Johannes Hölzl (1 shared paper)Aaron Tomb (4 shared papers)Christian Urban (1 shared paper)Dylan McNamee (1 shared paper)Robert Dockins (1 shared paper)John Matthews (2 shared papers)Serdar Taşiran (1 shared paper)
- Journals
- Lecture notes in computer science (9 papers)ACM SIGAda Ada Letters (1 paper)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Brian Huffman
14 papers receiving 257 citations
Peers
Comparison fields: 5 of 28
- Software 49
- Computational Theory and Mathematics 173
- Artificial Intelligence 228
- Hardware and Architecture 23
- Theoretical Computer Science 4
Countries citing papers authored by Brian Huffman
This map shows the geographic impact of Brian Huffman'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 Brian Huffman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Huffman more than expected).
Fields of papers citing papers by Brian Huffman
This network shows the impact of papers produced by Brian Huffman. 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 Brian Huffman. The network helps show where Brian Huffman may publish in the future.
Co-authors
The 13 scholars most cited alongside Brian Huffman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 85 | |
| 2 | 2013 | 46 | |
| 3 | 2018 | 40 | |
| 4 | 2016 | 37 | |
| 5 | 2005 | 14 | |
| 6 | 2010 | 14 | |
| 7 | 2013 | 13 | |
| 8 | 2009 | 12 | |
| 9 | 2012 | 9 | |
| 10 | 2021 | 5 | |
| 11 | 2013 | 4 | |
| 12 | Axiomatic constructor classes in Isabelle/HOLCF | 2005 | 2 |
| 13 | Free Boolean Algebra. | 2010 | 1 |
| 14 | Type Constructor Classes and Monad Transformers. | 2012 | 1 |
| 15 | 2013 | 1 |
About Brian Huffman
Brian Huffman is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Signal Processing, Software and General Health Professions, having authored 15 papers that have together received 284 indexed citations. Recurring topics across this work include Logic, programming, and type systems (8 papers), Logic, Reasoning, and Knowledge (7 papers), Security and Verification in Computing (5 papers), Formal Methods in Verification (4 papers), Advanced Malware Detection Techniques (4 papers), Cryptographic Implementations and Security (3 papers), Advanced Algebra and Logic (3 papers) and Software Testing and Debugging Techniques (2 papers). The work is most often cited by research in Software (49 citations), Computational Theory and Mathematics (173 citations), Artificial Intelligence (228 citations), Hardware and Architecture (23 citations) and Theoretical Computer Science (4 citations). Brian Huffman has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Fabian Immler, Johannes Hölzl, Aaron Tomb, Christian Urban, Dylan McNamee, Robert Dockins, John Matthews, Serdar Taşiran, Byron Cook and S. Magill. Their work appears in journals such as Lecture notes in computer science and ACM SIGAda Ada Letters.
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.