Michael Hind
Impact in
- Hardware and Architecture top 0.5%
- Parallel Computing and Optimization Techniques
- Artificial Intelligence top 0.5%
- Logic, programming, and type systems
- Explainable Artificial Intelligence (XAI)
- Security and Verification in Computing
Papers in
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- Parallel Computing and Optimization Techniques 28
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- Logic, programming, and type systems 29
- Explainable Artificial Intelligence (XAI) 8
- Co-authors
- David Grove (12 shared papers)Matthew Arnold (15 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 Ζ (10 shared papers)Kush R. Varshney (12 shared papers)
- Journals
- ACM SIGPLAN Notices (10 papers)ACM Transactions on Programming Languages and Systems (3 papers)IBM Journal of Research and Development (3 papers)IBM Systems Journal (2 papers)IEEE Software (1 paper)
- Partner nations
- United StatesBelgiumAustralia
In The Last Decade
Michael Hind
66 papers receiving 4.1k citations
Michael Hind's Hit Papers
Peers
Comparison fields: 5 of 88
- Hardware and Architecture 1.5k
- Artificial Intelligence 2.4k
- Software 343
- Safety Research 590
- Health Informatics 78
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 | 581 |
| 2 | 2000 | 458 | |
| 3 | 2001 | 449 | |
| 4 | FactSheets: Increasing trust in AI services through supplier's declarations of conformity Hit paper breakdown → | 2019 | 287 |
| 5 | 2000 | 234 | |
| 6 | 1999 | 213 | |
| 7 | 2005 | 192 | |
| 8 | 1999 | 163 | |
| 9 | 2005 | 145 | |
| 10 | 2000 | 144 | |
| 11 | 2004 | 117 | |
| 12 | 1999 | 104 | |
| 13 | 1995 | 82 | |
| 14 | Using Hardware Performance Monitors to Understand the Behavior of Java Applications | 2004 | 67 |
| 15 | 2019 | 66 | |
| 16 | 2011 | 57 | |
| 17 | 1998 | 56 | |
| 18 | 2001 | 51 | |
| 19 | 2002 | 49 | |
| 20 | 2006 | 49 |
About Michael Hind
Michael Hind is a scholar working on Hardware and Architecture, Artificial Intelligence, Computer Networks and Communications, Safety Research and Information Systems, having authored 68 papers that have together received 4.4k indexed citations. Recurring topics across this work include Logic, programming, and type systems (29 papers), Parallel Computing and Optimization Techniques (28 papers), Explainable Artificial Intelligence (XAI) (8 papers), Software System Performance and Reliability (7 papers), Ethics and Social Impacts of AI (5 papers), Blockchain Technology Applications and Security (3 papers), Software Engineering Research (2 papers) and Academic Writing and Publishing (1 paper). The work is most often cited by research in Hardware and Architecture (1.5k citations), Artificial Intelligence (2.4k citations), Software (343 citations), Safety Research (590 citations) and Health Informatics (78 citations). Michael Hind has collaborated with scholars based in United States, Belgium and Australia. Frequent co-authors include David Grove, Matthew Arnold, Stephen J. Fink, Jong-Deok Choi, Peter F. Sweeney, Michael Burke, Amer Diwan Ζ, Kush R. Varshney, Aleksandra Mojsilović and Paul R. Carini. Their work appears in journals such as ACM SIGPLAN Notices, ACM Transactions on Programming Languages and Systems, IBM Journal of Research and Development, IBM Systems Journal and IEEE Software.
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.