Michael Carbin
Impact in
- Hardware and Architecture top 0.5%
- Parallel Computing and Optimization Techniques
- Software top 1%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
Papers in
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- Logic, programming, and type systems 9
- Machine Learning and Algorithms 7
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- Parallel Computing and Optimization Techniques 28
- Co-authors
- Martin Rinard (26 shared papers)Saša Misailovíc (22 shared papers)Jonathan Frankle (5 shared papers)Stelios Sidiroglou (9 shared papers)John Whaley (2 shared papers)Monica S. Lam (2 shared papers)Henry Hoffmann (6 shared papers)Anant Agarwal (5 shared papers)
- Journals
- Proceedings of the ACM on Programming Languages (12 papers)ACM SIGPLAN Notices (7 papers)ACM Computing Surveys (1 paper)Communications of the ACM (1 paper)Lecture notes in computer science (2 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Michael Carbin
63 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 87
- Hardware and Architecture 917
- Software 519
- Computational Mathematics 18
- Artificial Intelligence 1.0k
- Computer Networks and Communications 704
Countries citing papers authored by Michael Carbin
This map shows the geographic impact of Michael Carbin'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 Carbin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Carbin more than expected).
Fields of papers citing papers by Michael Carbin
This network shows the impact of papers produced by Michael Carbin. 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 Carbin. The network helps show where Michael Carbin may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Carbin, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 301 | |
| 2 | The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks. | 2019 | 263 |
| 3 | 2011 | 244 | |
| 4 | 2013 | 183 | |
| 5 | 2005 | 144 | |
| 6 | 2005 | 141 | |
| 7 | 2014 | 116 | |
| 8 | 2012 | 79 | |
| 9 | 2010 | 62 | |
| 10 | 2013 | 55 | |
| 11 | The Lottery Ticket Hypothesis: Training Pruned Neural Networks. | 2018 | 54 |
| 12 | 2021 | 49 | |
| 13 | 2014 | 47 | |
| 14 | 2011 | 47 | |
| 15 | 2011 | 45 | |
| 16 | 2006 | 40 | |
| 17 | 2020 | 39 | |
| 18 | 2007 | 37 | |
| 19 | 2012 | 36 | |
| 20 | The Lottery Ticket Hypothesis at Scale | 2019 | 28 |
About Michael Carbin
Michael Carbin is a scholar working on Artificial Intelligence, Hardware and Architecture, Computer Networks and Communications, Information Systems and Computational Theory and Mathematics, having authored 65 papers that have together received 2.4k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (28 papers), Distributed systems and fault tolerance (9 papers), Advanced Neural Network Applications (9 papers), Logic, programming, and type systems (9 papers), Formal Methods in Verification (8 papers), Machine Learning and Algorithms (7 papers), Radiation Effects in Electronics (7 papers) and Cloud Computing and Resource Management (7 papers). The work is most often cited by research in Hardware and Architecture (917 citations), Software (519 citations), Computational Mathematics (18 citations), Artificial Intelligence (1.0k citations) and Computer Networks and Communications (704 citations). Michael Carbin has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Martin Rinard, Saša Misailovíc, Jonathan Frankle, Stelios Sidiroglou, John Whaley, Monica S. Lam, Henry Hoffmann, Anant Agarwal, Saman Amarasinghe and Sara Achour. Their work appears in journals such as Proceedings of the ACM on Programming Languages, ACM SIGPLAN Notices, ACM Computing Surveys, Communications of the ACM and Lecture notes in computer science.
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.