Brian Huffman

433 citations
5 papers · 20 · h-index 3

Impact in

    • Security and Verification in Computing
    • Logic, programming, and type systems
    • Cryptographic Implementations and Security
    • Logic, Reasoning, and Knowledge
    • Semantic Web and Ontologies
    • Coding theory and cryptography
    • Software Reliability and Analysis Research

Papers in

Partner nations
Germany

In The Last Decade

Brian Huffman

5 papers receiving 18 citations

Peers

Brian Huffman
Comparison fields: 5 of 10
  • Artificial Intelligence 17
  • Software 2
  • Computational Theory and Mathematics 8
  • Hardware and Architecture 1
  • Safety, Risk, Reliability and Quality 1
Replace Anja Becker with:
Anja Becker Switzerland
Marcell Vazquez-Chanlatte United States
Yahachiro TSUKAMOTO Japan
R. Bardenet France
Hormoz Shahrzad United States
Dami Choi Canada
Vidul Ayakulangara Panickan United States
Diana Costa Portugal
Ioana Ivan Israel
Frank Kursawe Germany
Brian Huffman relative to Anja Becker Switzerland Anja Becker's profile →
Citations per field
00.5×
Anja Becker · 1×
Citations per year

Countries citing papers authored by Brian Huffman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 2 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.

Border = papers with Brian Huffman Line = papers co-authored together Brian Huffman links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 201310
2 20126
3
Axiomatic constructor classes in Isabelle/HOLCF
20052
4
Free Boolean Algebra.
20101
5
Type Constructor Classes and Monad Transformers.
20121

About Brian Huffman

Brian Huffman is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, General Health Professions, Signal Processing and Philosophy, having authored 5 papers that have together received 20 indexed citations. Recurring topics across this work include Logic, programming, and type systems (2 papers), Hermeneutics and Narrative Identity (1 paper), Advanced Malware Detection Techniques (1 paper), Formal Methods in Verification (1 paper), Health, Medicine and Society (1 paper), Logic, Reasoning, and Knowledge (1 paper), Security and Verification in Computing (1 paper) and Advanced Algebra and Logic (1 paper). The work is most often cited by research in Artificial Intelligence (17 citations), Software (2 citations), Computational Theory and Mathematics (8 citations), Hardware and Architecture (1 citation) and Safety, Risk, Reliability and Quality (1 citation). Brian Huffman has collaborated with scholars based in Germany. Frequent co-authors include Aaron Tomb and John Matthews.

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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