Michael Hind
Impact in
- Hardware and Architecture top 0.2%
- Parallel Computing and Optimization Techniques
- Software top 0.5%
- Software Testing and Debugging Techniques
Papers in
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- Parallel Computing and Optimization Techniques 40
-
- Logic, programming, and type systems 21
- Security and Verification in Computing 7
- Co-authors
- David Grove (12 shared papers)Matthew Arnold (16 shared papers)Stephen J. Fink (7 shared papers)Jong-Deok Choi (6 shared papers)Peter F. Sweeney (10 shared papers)Michael Burke (4 shared papers)Amer Diwan (10 shared papers)Paul Carini (5 shared papers)
- Journals
- ACM SIGPLAN Notices (10 papers)IBM Journal of Research and Development (3 papers)ACM Transactions on Programming Languages and Systems (3 papers)Science of Computer Programming (1 paper)Journal of Machine Learning Research (1 paper)
- Partner nations
- United StatesNetherlandsBelgium
In The Last Decade
Michael Hind
66 papers receiving 3.4k citations
Michael Hind's Hit Papers
Peers
Comparison fields: 5 of 106
- Hardware and Architecture 1.7k
- Software 866
- Health Informatics 136
- Artificial Intelligence 2.0k
- Computer Networks and Communications 1.2k
Countries citing papers authored by Michael Hind
This map shows the geographic impact of Michael Hind'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 Hind with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Hind more than expected).
Fields of papers citing papers by Michael Hind
This network shows the impact of papers produced by Michael Hind. 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 Hind. The network helps show where Michael Hind may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Hind, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias Hit paper breakdown → | 2019 | 510 |
| 2 | 2001 | 449 | |
| 3 | 2000 | 236 | |
| 4 | 1999 | 220 | |
| 5 | 2005 | 195 | |
| 6 | 1999 | 168 | |
| 7 | 2005 | 147 | |
| 8 | 2000 | 146 | |
| 9 | 2004 | 118 | |
| 10 | 1999 | 108 | |
| 11 | 2002 | 92 | |
| 12 | 1995 | 82 | |
| 13 | Using hardware performance monitors to understand the behavior of java applications | 2004 | 70 |
| 14 | 2019 | 60 | |
| 15 | 2011 | 57 | |
| 16 | 1998 | 56 | |
| 17 | 2002 | 53 | |
| 18 | 2006 | 53 | |
| 19 | 2001 | 50 | |
| 20 | 2007 | 47 |
About Michael Hind
Michael Hind is a scholar working on Hardware and Architecture, Artificial Intelligence, Computer Networks and Communications, Information Systems and Software, having authored 68 papers that have together received 3.6k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (40 papers), Logic, programming, and type systems (21 papers), Software Testing and Debugging Techniques (15 papers), Cloud Computing and Resource Management (11 papers), Software System Performance and Reliability (8 papers), Distributed systems and fault tolerance (8 papers), Formal Methods in Verification (8 papers) and Security and Verification in Computing (7 papers). The work is most often cited by research in Hardware and Architecture (1.7k citations), Software (866 citations), Health Informatics (136 citations), Artificial Intelligence (2.0k citations) and Computer Networks and Communications (1.2k citations). Michael Hind has collaborated with scholars based in United States, Netherlands and Belgium. Frequent co-authors include David Grove, Matthew Arnold, Stephen J. Fink, Jong-Deok Choi, Peter F. Sweeney, Michael Burke, Amer Diwan, Paul Carini, Vivek Sarkar and Kush R. Varshney. Their work appears in journals such as ACM SIGPLAN Notices, IBM Journal of Research and Development, ACM Transactions on Programming Languages and Systems, Science of Computer Programming and Journal of Machine Learning Research.
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.