Maxwell Nye
Impact in
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- Software Testing and Debugging Techniques
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- Topic Modeling
- Natural Language Processing Techniques
- Machine Learning and Algorithms
- AI-based Problem Solving and Planning
- Evolutionary Algorithms and Applications
- Reinforcement Learning in Robotics
Papers in
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- Evolutionary Algorithms and Applications 2
- Machine Learning and Algorithms 2
- Topic Modeling 2
- Natural Language Processing Techniques 2
- Software 2
- Software Testing and Debugging Techniques 2
- Co-authors
- Josh Tenenbaum (5 shared papers)Armando Solar-Lezama (4 shared papers)Kevin Ellis (4 shared papers)Luke Hewitt (2 shared papers)Mathias Sablé-Meyer (2 shared papers)Lionel Wong (1 shared paper)Yewen Pu (1 shared paper)Jacob Andreas (2 shared papers)
- Journals
- Nature Communications (1 paper)Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)DSpace@MIT (Massachusetts Institute of Technology) (3 papers)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Maxwell Nye
7 papers receiving 123 citations
Peers
Comparison fields: 5 of 40
- Software 18
- Artificial Intelligence 77
- Computer Graphics and Computer-Aided Design 8
- Health Informatics 2
- Information Systems 28
Countries citing papers authored by Maxwell Nye
This map shows the geographic impact of Maxwell Nye'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 Maxwell Nye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxwell Nye more than expected).
Fields of papers citing papers by Maxwell Nye
This network shows the impact of papers produced by Maxwell Nye. 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 Maxwell Nye. The network helps show where Maxwell Nye may publish in the future.
Co-authors
The 16 scholars most cited alongside Maxwell Nye, 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 | 2021 | 61 | |
| 2 | 2023 | 34 | |
| 3 | Write, Execute, Assess: Program Synthesis with a REPL | 2019 | 21 |
| 4 | 2021 | 5 | |
| 5 | 2023 | 4 | |
| 6 | 2024 | 2 | |
| 7 | A large-scale benchmark for few-shot program induction and synthesis | 2021 | 2 |
About Maxwell Nye
Maxwell Nye is a scholar working on Artificial Intelligence, Software, Cultural Studies, Information Systems and Management Science and Operations Research, having authored 7 papers that have together received 129 indexed citations. Recurring topics across this work include Software Engineering Research (2 papers), Evolutionary Algorithms and Applications (2 papers), Machine Learning and Algorithms (2 papers), Topic Modeling (2 papers), Language and cultural evolution (2 papers), Natural Language Processing Techniques (2 papers), Software Testing and Debugging Techniques (2 papers) and Computability, Logic, AI Algorithms (1 paper). The work is most often cited by research in Software (18 citations), Artificial Intelligence (77 citations), Computer Graphics and Computer-Aided Design (8 citations), Health Informatics (2 citations) and Information Systems (28 citations). Maxwell Nye has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Josh Tenenbaum, Armando Solar-Lezama, Kevin Ellis, Luke Hewitt, Mathias Sablé-Meyer, Lionel Wong, Yewen Pu, Jacob Andreas, Belinda Z. Li and Leslie Pack Kaelbling. Their work appears in journals such as Nature Communications, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, DSpace@MIT (Massachusetts Institute of Technology) and arXiv (Cornell University).
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.