Jeff Clune
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 0.2%
- Adversarial Robustness in Machine Learning
- Evolutionary Algorithms and Applications
- Reinforcement Learning in Robotics
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
Papers in
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- Evolutionary Algorithms and Applications 31
- Reinforcement Learning in Robotics 24
- Metaheuristic Optimization Algorithms Research 12
- Neural Networks and Applications 8
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- Modular Robots and Swarm Intelligence 11
- Co-authors
- Jason Yosinski (11 shared papers)Anh‐Tu Nguyen (5 shared papers)Hod Lipson (13 shared papers)Yoshua Bengio (2 shared papers)Jean-Baptiste Mouret (5 shared papers)Kenneth O. Stanley (9 shared papers)Antoine Cully (2 shared papers)Joel Lehman (9 shared papers)
- Journals
- PLoS Computational Biology (4 papers)PLoS ONE (3 papers)Artificial Life (2 papers)IEEE Intelligent Systems (1 paper)The American Naturalist (1 paper)
- Partner nations
- United StatesDenmarkFrance
In The Last Decade
Jeff Clune
64 papers receiving 7.7k citations
Jeff Clune's Hit Papers
Peers
Comparison fields: 5 of 197
- Computer Vision and Pattern Recognition 2.5k
- Artificial Intelligence 3.9k
- Ecological Modeling 293
- Health Informatics 60
- Signal Processing 459
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-authors
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
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | How transferable are features in deep neural networks? Hit paper breakdown → | 2014 | 2397 |
| 2 | Deep neural networks are easily fooled: High confidence predictions for unrecognizable images Hit paper breakdown → | 2015 | 1817 |
| 3 | Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning Hit paper breakdown → | 2018 | 789 |
| 4 | Robots that can adapt like animals Hit paper breakdown → | 2015 | 637 |
| 5 | Designing neural networks through neuroevolution Hit paper breakdown → | 2018 | 455 |
| 6 | 2017 | 311 | |
| 7 | 2013 | 155 | |
| 8 | 2009 | 134 | |
| 9 | 2011 | 101 | |
| 10 | 2015 | 99 | |
| 11 | 2014 | 97 | |
| 12 | 2008 | 82 | |
| 13 | 2016 | 82 | |
| 14 | 2017 | 65 | |
| 15 | Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents | 2018 | 58 |
| 16 | 2020 | 52 | |
| 17 | 2011 | 50 | |
| 18 | 2015 | 50 | |
| 19 | 2013 | 39 | |
| 20 | Convergent Learning: Do different neural networks learn the same representations? | 2016 | 35 |
About Jeff Clune
Jeff Clune is a scholar working on Artificial Intelligence, Mechanical Engineering, Genetics, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 67 papers that have together received 8.1k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (31 papers), Reinforcement Learning in Robotics (24 papers), Metaheuristic Optimization Algorithms Research (12 papers), Modular Robots and Swarm Intelligence (11 papers), Evolution and Genetic Dynamics (10 papers), Evolutionary Game Theory and Cooperation (10 papers), Neural Networks and Applications (8 papers) and Robotic Locomotion and Control (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.5k citations), Artificial Intelligence (3.9k citations), Ecological Modeling (293 citations), Health Informatics (60 citations) and Signal Processing (459 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, Joel Lehman, Danesh Tarapore and Charles Ofria. Their work appears in journals such as PLoS Computational Biology, PLoS ONE, Artificial Life, IEEE Intelligent Systems 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.