Maxwell Nye
Impact in
- Software top 10%
- Software Testing and Debugging Techniques
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- Topic Modeling
- Machine Learning and Algorithms
- Natural Language Processing Techniques
- AI-based Problem Solving and Planning
- 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 1
- AI-based Problem Solving and Planning 1
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- Software Engineering Research 4
- Co-authors
- Armando Solar-Lezama (6 shared papers)Joshua B. Tenenbaum (5 shared papers)Kevin Ellis (4 shared papers)Luke Hewitt (3 shared papers)Mathias Sablé-Meyer (2 shared papers)Yewen Pu (2 shared papers)Josh Tenenbaum (2 shared papers)Jacob Andreas (2 shared papers)
- Journals
- Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)Nature Communications (1 paper)arXiv (Cornell University) (2 papers)DSpace@MIT (Massachusetts Institute of Technology) (2 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Maxwell Nye
6 papers receiving 103 citations
Peers
Comparison fields: 5 of 38
- Software 21
- Artificial Intelligence 68
- Computer Graphics and Computer-Aided Design 6
- Hardware and Architecture 10
- Health Informatics 2
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 17 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 | 47 | |
| 2 | 2023 | 28 | |
| 3 | Write, Execute, Assess: Program Synthesis with a REPL | 2019 | 15 |
| 4 | 2019 | 10 | |
| 5 | 2023 | 4 | |
| 6 | Representing Partial Programs with Blended Abstract Semantics | 2021 | 1 |
| 7 | A large-scale benchmark for few-shot program induction and synthesis | 2021 | 1 |
| 8 | 2024 | 0 |
About Maxwell Nye
Maxwell Nye is a scholar working on Artificial Intelligence, Information Systems, Software, Hardware and Architecture and Computational Theory and Mathematics, having authored 8 papers that have together received 106 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (4 papers), Software Engineering Research (4 papers), Evolutionary Algorithms and Applications (2 papers), Machine Learning and Algorithms (2 papers), Topic Modeling (2 papers), Natural Language Processing Techniques (1 paper), AI-based Problem Solving and Planning (1 paper) and Machine Learning in Materials Science (1 paper). The work is most often cited by research in Software (21 citations), Artificial Intelligence (68 citations), Computer Graphics and Computer-Aided Design (6 citations), Hardware and Architecture (10 citations) and Health Informatics (2 citations). Maxwell Nye has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Armando Solar-Lezama, Joshua B. Tenenbaum, Kevin Ellis, Luke Hewitt, Mathias Sablé-Meyer, Yewen Pu, Josh Tenenbaum, Jacob Andreas, Belinda Z. Li and Joshua Rule. Their work appears in journals such as Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Nature Communications, arXiv (Cornell University) and DSpace@MIT (Massachusetts Institute of Technology).
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.