Brian Hackett
Impact in
- Software top 2%
- Software Testing and Debugging Techniques
- Artificial Intelligence top 5%
- Logic, programming, and type systems
- Security and Verification in Computing
Papers in
-
- Logic, programming, and type systems 10
- Security and Verification in Computing 1
- Software 2
- Software Testing and Debugging Techniques 2
- Co-authors
- Radu Rugina (2 shared papers)Shuyu Guo (2 shared papers)Alex Aiken (3 shared papers)Zhe Yang (1 shared paper)Manuvir Das (1 shared paper)Shaz Qadeer (3 shared papers)Shuvendu K. Lahiri (3 shared papers)Jeremy Condit (2 shared papers)
- Journals
- ACM SIGPLAN Notices (3 papers)Lecture notes in computer science (1 paper)ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (POPL) (2 papers)Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation (1 paper)UCL Discovery (University College London) (1 paper)
- Partner nations
- United States
In The Last Decade
Brian Hackett
10 papers receiving 553 citations
Peers
Comparison fields: 5 of 16
- Software 208
- Artificial Intelligence 401
- Hardware and Architecture 58
- Computational Theory and Mathematics 55
- Information Systems 81
Countries citing papers authored by Brian Hackett
This map shows the geographic impact of Brian Hackett'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 Hackett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Hackett more than expected).
Fields of papers citing papers by Brian Hackett
This network shows the impact of papers produced by Brian Hackett. 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 Hackett. The network helps show where Brian Hackett may publish in the future.
Co-authors
The 11 scholars most cited alongside Brian Hackett, 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 | 2005 | 113 | |
| 2 | 2012 | 101 | |
| 3 | 2007 | 94 | |
| 4 | 2006 | 90 | |
| 5 | 2006 | 67 | |
| 6 | 2009 | 49 | |
| 7 | 2012 | 19 | |
| 8 | 2009 | 18 | |
| 9 | 2010 | 17 | |
| 10 | 2005 | 10 | |
| 11 | 2011 | 0 |
About Brian Hackett
Brian Hackett is a scholar working on Artificial Intelligence, Software, Computational Theory and Mathematics, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 11 papers that have together received 578 indexed citations. Recurring topics across this work include Logic, programming, and type systems (10 papers), Software Testing and Debugging Techniques (2 papers), Formal Methods in Verification (1 paper) and Security and Verification in Computing (1 paper). The work is most often cited by research in Software (208 citations), Artificial Intelligence (401 citations), Hardware and Architecture (58 citations), Computational Theory and Mathematics (55 citations) and Information Systems (81 citations). Brian Hackett has collaborated with scholars based in United States. Frequent co-authors include Radu Rugina, Shuyu Guo, Alex Aiken, Zhe Yang, Manuvir Das, Shaz Qadeer, Shuvendu K. Lahiri, Jeremy Condit, Thomas Dillig and Işıl Dillig. Their work appears in journals such as ACM SIGPLAN Notices, Lecture notes in computer science, ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (POPL), Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation and UCL Discovery (University College London).
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.