Kevin Ellis

1.1k total citations
33 papers, 380 citations indexed

About

Kevin Ellis is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Kevin Ellis has authored 33 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 7 papers in Information Systems and 4 papers in Computational Theory and Mathematics. Recurrent topics in Kevin Ellis's work include Software Engineering Research (7 papers), Machine Learning and Algorithms (7 papers) and Evolutionary Algorithms and Applications (6 papers). Kevin Ellis is often cited by papers focused on Software Engineering Research (7 papers), Machine Learning and Algorithms (7 papers) and Evolutionary Algorithms and Applications (6 papers). Kevin Ellis collaborates with scholars based in United States, United Kingdom and France. Kevin Ellis's co-authors include Armando Solar-Lezama, Joshua B. Tenenbaum, Mathias Sablé-Meyer, Josh Tenenbaum, Maxwell Nye, Daniel Ritchie, Luke Hewitt, Swarat Chaudhuri, Rishabh Singh and Yisong Yue and has published in prestigious journals such as Nature Communications, Cognitive Psychology and Artificial Intelligence.

In The Last Decade

Kevin Ellis

28 papers receiving 359 citations

Peers

Kevin Ellis
Comparison fields: 5 of 73
  • Artificial Intelligence 209
  • Information Systems 84
  • Computer Vision and Pattern Recognition 58
  • Software 52
  • Computational Theory and Mathematics 28
Replace Anne Benoît with:
Anne Benoît France
Yihong Dong China
Krzysztof Pietroszek United States
Julie Porteous United Kingdom
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Juan A. Nolazco‐Flores Mexico
Serdar Kadıoğlu United States
Steve Cassidy Netherlands
Daniel Kang United States
Soojin Park South Korea
Anne Benoît France View profile →
Citations per field, relative to Kevin Ellis
Kevin Ellis · 1×
Citations per year, relative to Kevin Ellis
Kevin Ellis · 1×

Countries citing papers authored by Kevin Ellis

Since Specialization
Citations

This map shows the geographic impact of Kevin Ellis'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 Kevin Ellis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Ellis more than expected).

Fields of papers citing papers by Kevin Ellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin Ellis. 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 Kevin Ellis. The network helps show where Kevin Ellis may publish in the future.

Co-authorship network of co-authors of Kevin Ellis

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Ellis. A scholar is included among the top collaborators of Kevin Ellis 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 Kevin Ellis. Kevin Ellis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 15
5 25
6 10
7 36
8
Learning abstract structure for drawing by efficient motor program induction
2
9
Write, Execute, Assess: Program Synthesis with a REPL
15
10
Learning to Infer and Execute 3D Shape Programs
15
11 7
12
Learning to Infer Graphics Programs from Hand-Drawn Images
33
13
Learning Libraries of Subroutines for Neurally–Guided Bayesian Program Induction
17
14
Library learning for neurally-guided Bayesian program induction
9
15 12
16
Sampling for Bayesian Program Learning
11
17
Dimensionality Reduction via Program Induction.
1
18
Unsupervised learning by program synthesis
22
19 28
20
Bias reformulation for one-shot function induction
12

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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