Jeff Clune
- Artificial Intelligence top 0.2%
- Evolutionary Algorithms and Applications 27
- Reinforcement Learning in Robotics 22
- Metaheuristic Optimization Algorithms Research 9
- Neural Networks and Applications 7
- Ecological Modeling top 2%
- Health Informatics top 2%
- Signal Processing top 2%
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- Modular Robots and Swarm Intelligence 11
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- Evolution and Genetic Dynamics 9
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- Evolutionary Game Theory and Cooperation 8
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- Advanced Memory and Neural Computing 4
- Co-authors
- Jason YosinskiAnh‐Tu NguyenHod LipsonYoshua BengioJean-Baptiste MouretKenneth O. StanleyAntoine CullyDanesh Tarapore
- Partner nations
- United StatesDenmarkFrance
In The Last Decade
Jeff Clune
56 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 196
- Computer Vision and Pattern Recognition 2.2k
- Artificial Intelligence 3.3k
- Ecological Modeling 274
- Health Informatics 59
- Signal Processing 417
Countries citing papers authored by Jeff Clune
This map shows the geographic impact of Jeff Clune'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 Jeff Clune with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Clune more than expected).
Fields of papers citing papers by Jeff Clune
This network shows the impact of papers produced by Jeff Clune. 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 Jeff Clune. The network helps show where Jeff Clune may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeff Clune, 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 | 2020 | 49 | |
| 2 | 2020 | 6 | |
| 3 | Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents | 2018 | 51 |
| 4 | 2018 | 3 | |
| 5 | 2018 | 13 | |
| 6 | Automatically identifying wild animals in camera trap images with deep learning. | 2017 | 17 |
| 7 | 2017 | 58 | |
| 8 | 2016 | 76 | |
| 9 | Creative Generation of 3D Objects with Deep Learning and Innovation Engines. | 2016 | 19 |
| 10 | 2016 | 6 | |
| 11 | 2016 | 3 | |
| 12 | Convergent Learning: Do different neural networks learn the same representations? | 2016 | 32 |
| 13 | Robots that can adapt like animalsbreakdown → | 2015 | 566 |
| 14 | 2015 | 85 | |
| 15 | 2014 | 22 | |
| 16 | 2014 | 9 | |
| 17 | How transferable are features in deep neural networks?breakdown → | 2014 | 2267 |
| 18 | 2014 | 27 | |
| 19 | 2012 | 17 | |
| 20 | 2008 | 77 |
About Jeff Clune
Jeff Clune is a scholar working on Artificial Intelligence, Computer Graphics and Computer-Aided Design, Ecological Modeling, Computational Theory and Mathematics and Biophysics, having authored 58 papers that have together received 7.2k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (27 papers), Reinforcement Learning in Robotics (22 papers), Modular Robots and Swarm Intelligence (11 papers), Metaheuristic Optimization Algorithms Research (9 papers), Evolution and Genetic Dynamics (9 papers), Evolutionary Game Theory and Cooperation (8 papers), Neural Networks and Applications (7 papers) and Advanced Memory and Neural Computing (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.2k citations), Artificial Intelligence (3.3k citations), Ecological Modeling (274 citations), Health Informatics (59 citations) and Signal Processing (417 citations). Jeff Clune has collaborated with scholars based in United States, Denmark and France. Frequent co-authors include Jason Yosinski, Anh‐Tu Nguyen, Hod Lipson, Yoshua Bengio, Jean-Baptiste Mouret, Kenneth O. Stanley, Antoine Cully, Danesh Tarapore, Joel Lehman and Mohammad Sadegh Norouzzadeh. Their work appears in journals such as PLoS Computational Biology, PLoS ONE, Artificial Life, Proceedings of the National Academy of Sciences and The American Naturalist.
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.