Maxwell Nye

652 total citations
8 papers, 106 citations indexed

About

Maxwell Nye is a scholar working on Artificial Intelligence, Information Systems and Software. According to data from OpenAlex, Maxwell Nye has authored 8 papers receiving a total of 106 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Information Systems and 4 papers in Software. Recurrent topics in Maxwell Nye's work include Software Engineering Research (4 papers), Software Testing and Debugging Techniques (4 papers) and Machine Learning and Algorithms (2 papers). Maxwell Nye is often cited by papers focused on Software Engineering Research (4 papers), Software Testing and Debugging Techniques (4 papers) and Machine Learning and Algorithms (2 papers). Maxwell Nye collaborates with scholars based in United States, United Kingdom and France. Maxwell Nye's co-authors include Armando Solar-Lezama, Luke Hewitt, Joshua B. Tenenbaum, Kevin Ellis, Mathias Sablé-Meyer, Josh Tenenbaum, Yewen Pu, Jacob Andreas, Belinda Z. Li and Steven T. Piantadosi and has published in prestigious journals such as Nature Communications, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and arXiv (Cornell University).

In The Last Decade

Maxwell Nye

6 papers receiving 103 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maxwell Nye United States 5 68 30 21 11 10 8 106
Jayson Lynch United States 4 62 0.9× 12 0.4× 4 0.2× 9 0.8× 9 0.9× 27 114
Han Shi China 5 38 0.6× 16 0.5× 27 1.3× 25 2.3× 6 0.6× 11 96
Klaus-Tycho Förster Switzerland 7 15 0.2× 69 2.3× 6 0.3× 5 0.5× 17 1.7× 15 250
Leonard Tang United States 5 106 1.6× 15 0.5× 6 0.3× 36 3.3× 2 0.2× 5 151
Armin Fiedler Germany 10 171 2.5× 19 0.6× 15 0.7× 6 0.5× 2 0.2× 26 193
Salvador Martínez France 9 62 0.9× 81 2.7× 83 4.0× 6 0.5× 9 0.9× 20 149
Maxime Chevalier-Boisvert Canada 6 72 1.1× 12 0.4× 11 0.5× 18 1.6× 31 3.1× 10 98
Dianhuan Lin United Kingdom 4 154 2.3× 33 1.1× 10 0.5× 12 1.1× 2 0.2× 5 186
Matthias Gallé France 6 117 1.7× 15 0.5× 5 0.2× 31 2.8× 5 0.5× 25 147
Jean-François Ladry France 2 25 0.4× 18 0.6× 10 0.5× 9 0.8× 3 0.3× 3 70

Countries citing papers authored by Maxwell Nye

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Maxwell Nye

This figure shows the co-authorship network connecting the top 25 collaborators of Maxwell Nye. A scholar is included among the top collaborators of Maxwell Nye based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maxwell Nye. Maxwell Nye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Rule, Joshua, Steven T. Piantadosi, Andrew Cropper, et al.. (2024). Symbolic metaprogram search improves learning efficiency and explains rule learning in humans. Nature Communications. 15(1). 6847–6847.
2.
Li, Belinda Z., Maxwell Nye, & Jacob Andreas. (2023). Language Modeling with Latent Situations. 12556–12571. 4 indexed citations
3.
Ellis, Kevin, Maxwell Nye, Mathias Sablé-Meyer, et al.. (2023). DreamCoder: growing generalizable, interpretable knowledge with wake–sleep Bayesian program learning. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 381(2251). 20220050–20220050. 28 indexed citations
4.
Nye, Maxwell, Yewen Pu, Matthew L. Bowers, et al.. (2021). Representing Partial Programs with Blended Abstract Semantics. arXiv (Cornell University). 1 indexed citations
5.
Alet, Ferran, James Koppel, Maxwell Nye, et al.. (2021). A large-scale benchmark for few-shot program induction and synthesis. DSpace@MIT (Massachusetts Institute of Technology). 175–186. 1 indexed citations
6.
Ellis, Kevin, Maxwell Nye, Mathias Sablé-Meyer, et al.. (2021). DreamCoder: bootstrapping inductive program synthesis with wake-sleep library learning. 835–850. 47 indexed citations
7.
Ellis, Kevin, et al.. (2019). Write, Execute, Assess: Program Synthesis with a REPL. DSpace@MIT (Massachusetts Institute of Technology). 32. 9165–9174. 15 indexed citations
8.
Nye, Maxwell, Luke Hewitt, Joshua B. Tenenbaum, & Armando Solar-Lezama. (2019). Learning to Infer Program Sketches. arXiv (Cornell University). 4861–4870. 10 indexed citations

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.

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