Gavin Bierman
- Software top 5%
- Hardware and Architecture top 5%
- Artificial Intelligence top 1%
- Logic, programming, and type systems 34
- Logic, Reasoning, and Knowledge 10
- Security and Verification in Computing 9
- Advanced Software Engineering Methodologies 7
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- Formal Methods in Verification 14
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- Advanced Database Systems and Queries 11
- Distributed systems and fault tolerance 7
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- Software Engineering Research 8
Gavin Bierman
42 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 42
- Software 130
- Hardware and Architecture 206
- Artificial Intelligence 902
- Computational Theory and Mathematics 396
- Computer Networks and Communications 446
Countries citing papers authored by Gavin Bierman
This map shows the geographic impact of Gavin Bierman'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 Gavin Bierman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gavin Bierman more than expected).
Fields of papers citing papers by Gavin Bierman
This network shows the impact of papers produced by Gavin Bierman. 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 Gavin Bierman. The network helps show where Gavin Bierman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gavin Bierman, 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 | 2021 | 0 | |
| 2 | 2021 | 6 | |
| 3 | 2021 | 0 | |
| 4 | 2019 | 2 | |
| 5 | 2014 | 5 | |
| 6 | 2014 | 4 | |
| 7 | 2009 | 15 | |
| 8 | 2008 | 9 | |
| 9 | 2008 | 66 | |
| 10 | 2007 | 1 | |
| 11 | 2006 | 221 | |
| 12 | 2003 | 27 | |
| 13 | 2003 | 5 | |
| 14 | The essence of data access in Cω -- The power is in the dot! | 2002 | 0 |
| 15 | Strong Normalisation of Cut-Elimination in Classical Logic | 2001 | 15 |
| 16 | 2001 | 35 | |
| 17 | Using XML as an Object Interchange Format | 2000 | 2 |
| 18 | 1999 | 5 | |
| 19 | 1998 | 55 | |
| 20 | 1996 | 3 |
About Gavin Bierman
Gavin Bierman is a scholar working on Artificial Intelligence, Software, Computational Theory and Mathematics, Hardware and Architecture and Computer Networks and Communications, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Logic, programming, and type systems (34 papers), Formal Methods in Verification (14 papers), Advanced Database Systems and Queries (11 papers), Logic, Reasoning, and Knowledge (10 papers), Security and Verification in Computing (9 papers), Software Engineering Research (8 papers), Advanced Software Engineering Methodologies (7 papers) and Distributed systems and fault tolerance (7 papers). The work is most often cited by research in Software (130 citations), Hardware and Architecture (206 citations), Artificial Intelligence (902 citations), Computational Theory and Mathematics (396 citations) and Computer Networks and Communications (446 citations). Gavin Bierman has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Matthew Parkinson, Erik Meijer, Brian Beckman, Valeria de Paiva, Michael Hicks, Peter Sewell, Gareth Stoyle, Iulian Neamtiu, Nikhil Swamy and Erik Meijer. Their work appears in journals such as ACM SIGPLAN Notices, Journal of Functional Programming, Studia Logica, Mathematical Structures in Computer Science and Queue.
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.