Michael Burke
Impact in
- Hardware and Architecture top 0.5%
- Parallel Computing and Optimization Techniques
- Software top 1%
- Software Testing and Debugging Techniques
Papers in
-
- Logic, programming, and type systems 17
- Natural Language Processing Techniques 16
- Topic Modeling 11
-
- Parallel Computing and Optimization Techniques 25
- Co-authors
- Jong-Deok Choi (8 shared papers)Ron K. Cytron (11 shared papers)Paul Carini (5 shared papers)Michael Hind (4 shared papers)Vivek Sarkar (10 shared papers)Andy Way (11 shared papers)Ruth O'Donovan (10 shared papers)Jeanne Ferrante (7 shared papers)
- Journals
- ACM SIGPLAN Notices (9 papers)IEEE Robotics and Automation Letters (4 papers)ACM Transactions on Programming Languages and Systems (4 papers)Computational Linguistics (2 papers)Hospital Pediatrics (2 papers)
- Partner nations
- United StatesSouth AfricaUnited Kingdom
In The Last Decade
Michael Burke
121 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 146
- Hardware and Architecture 1.2k
- Software 683
- Artificial Intelligence 1.2k
- Computer Networks and Communications 806
- Information Systems 556
Countries citing papers authored by Michael Burke
This map shows the geographic impact of Michael Burke'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 Michael Burke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Burke more than expected).
Fields of papers citing papers by Michael Burke
This network shows the impact of papers produced by Michael Burke. 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 Michael Burke. The network helps show where Michael Burke may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Burke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 295 | |
| 2 | 1999 | 220 | |
| 3 | 1999 | 168 | |
| 4 | 1988 | 126 | |
| 5 | 1986 | 124 | |
| 6 | 2017 | 115 | |
| 7 | 1990 | 109 | |
| 8 | 2010 | 101 | |
| 9 | 1995 | 82 | |
| 10 | 2004 | 81 | |
| 11 | 1982 | 64 | |
| 12 | 1986 | 63 | |
| 13 | 2013 | 62 | |
| 14 | 2008 | 59 | |
| 15 | 2000 | 59 | |
| 16 | 1988 | 59 | |
| 17 | 1993 | 59 | |
| 18 | 2004 | 58 | |
| 19 | 2005 | 56 | |
| 20 | 2005 | 46 |
About Michael Burke
Michael Burke is a scholar working on Artificial Intelligence, Hardware and Architecture, Computer Networks and Communications, Computer Vision and Pattern Recognition and Software, having authored 128 papers that have together received 2.9k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (25 papers), Logic, programming, and type systems (17 papers), Natural Language Processing Techniques (16 papers), Topic Modeling (11 papers), Software Testing and Debugging Techniques (10 papers), Distributed and Parallel Computing Systems (8 papers), Advanced Database Systems and Queries (7 papers) and Formal Methods in Verification (7 papers). The work is most often cited by research in Hardware and Architecture (1.2k citations), Software (683 citations), Artificial Intelligence (1.2k citations), Computer Networks and Communications (806 citations) and Information Systems (556 citations). Michael Burke has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include Jong-Deok Choi, Ron K. Cytron, Paul Carini, Michael Hind, Vivek Sarkar, Andy Way, Ruth O'Donovan, Jeanne Ferrante, Aoife Cahill and Josef van Genabith. Their work appears in journals such as ACM SIGPLAN Notices, IEEE Robotics and Automation Letters, ACM Transactions on Programming Languages and Systems, Computational Linguistics and Hospital Pediatrics.
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.