Max Willsey
Impact in
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- Parallel Computing and Optimization Techniques
Papers in
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- Logic, programming, and type systems 5
- Evolutionary Algorithms and Applications 2
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- Electrowetting and Microfluidic Technologies 4
- Co-authors
- Luís Ceze (6 shared papers)Karin Strauß (5 shared papers)Sharon Newman (3 shared papers)Bichlien H. Nguyen (4 shared papers)Christopher N. Takahashi (2 shared papers)Georg Seelig (1 shared paper)Douglas M. Carmean (1 shared paper)Zachary Tatlock (5 shared papers)
- Journals
- Proceedings of the ACM on Programming Languages (3 papers)IEEE Micro (1 paper)IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (1 paper)ACM Transactions on Graphics (1 paper)Proceedings of the IEEE (1 paper)
- Partner nations
- United StatesUnited KingdomAustria
In The Last Decade
Max Willsey
14 papers receiving 267 citations
Peers
Comparison fields: 5 of 39
- Hardware and Architecture 26
- Software 10
- Computational Theory and Mathematics 38
- Mechanical Engineering 72
- Molecular Biology 126
Countries citing papers authored by Max Willsey
This map shows the geographic impact of Max Willsey'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 Max Willsey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Willsey more than expected).
Fields of papers citing papers by Max Willsey
This network shows the impact of papers produced by Max Willsey. 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 Max Willsey. The network helps show where Max Willsey may publish in the future.
Co-authors
The 20 scholars most cited alongside Max Willsey, 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 | 2019 | 109 | |
| 2 | 2018 | 43 | |
| 3 | 2019 | 25 | |
| 4 | 2023 | 23 | |
| 5 | 2023 | 14 | |
| 6 | 2023 | 12 | |
| 7 | 2018 | 11 | |
| 8 | 2020 | 9 | |
| 9 | 2017 | 8 | |
| 10 | 2022 | 7 | |
| 11 | 2024 | 3 | |
| 12 | 2023 | 3 | |
| 13 | 2019 | 2 | |
| 14 | egg: Easy, Efficient, and Extensible E-graphs. | 2020 | 1 |
About Max Willsey
Max Willsey is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computational Theory and Mathematics, Mechanical Engineering and Molecular Biology, having authored 14 papers that have together received 270 indexed citations. Recurring topics across this work include Logic, programming, and type systems (5 papers), Electrowetting and Microfluidic Technologies (4 papers), Modular Robots and Swarm Intelligence (4 papers), Formal Methods in Verification (3 papers), DNA and Biological Computing (3 papers), Web Data Mining and Analysis (2 papers), Advanced Database Systems and Queries (2 papers) and Evolutionary Algorithms and Applications (2 papers). The work is most often cited by research in Hardware and Architecture (26 citations), Software (10 citations), Computational Theory and Mathematics (38 citations), Mechanical Engineering (72 citations) and Molecular Biology (126 citations). Max Willsey has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Luís Ceze, Karin Strauß, Sharon Newman, Bichlien H. Nguyen, Christopher N. Takahashi, Georg Seelig, Douglas M. Carmean, Zachary Tatlock, Dan Suciu and Nadia Polikarpova. Their work appears in journals such as Proceedings of the ACM on Programming Languages, IEEE Micro, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, ACM Transactions on Graphics and Proceedings of the IEEE.
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.