Jeff Clune
Impact in
- Artificial Intelligence top 0.2%
- Evolutionary Algorithms and Applications
- Adversarial Robustness in Machine Learning
- Reinforcement Learning in Robotics
- Domain Adaptation and Few-Shot Learning
- Neural Networks and Applications
- Explainable Artificial Intelligence (XAI)
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- Advanced Neural Network Applications
Papers in
-
- Evolutionary Algorithms and Applications 43
- Reinforcement Learning in Robotics 10
- Domain Adaptation and Few-Shot Learning 7
- Genetics 11
- Evolution and Genetic Dynamics 11
- Co-authors
- Jason Yosinski (10 shared papers)Jean-Baptiste Mouret (8 shared papers)Kenneth Owen Stanley (11 shared papers)Joel Lehman (14 shared papers)Antoine Cully (3 shared papers)Danesh Tarapore (2 shared papers)Mohammad Sadegh Norouzzadeh (4 shared papers)Charles Ofria (16 shared papers)
- Journals
- PLoS Computational Biology (4 papers)Artificial Life (3 papers)PLoS ONE (3 papers)Nature (2 papers)Evolutionary Computation (2 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Jeff Clune
79 papers receiving 7.4k citations
Jeff Clune's Hit Papers
Peers
Comparison fields: 5 of 173
- Artificial Intelligence 3.7k
- Computer Vision and Pattern Recognition 1.6k
- Ecological Modeling 78
- Health Informatics 68
- Ecology 620
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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep neural networks are easily fooled: High confidence predictions for unrecognizable images Hit paper breakdown → | 2015 | 2048 |
| 2 | Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning Hit paper breakdown → | 2018 | 859 |
| 3 | Robots that can adapt like animals Hit paper breakdown → | 2015 | 714 |
| 4 | Designing neural networks through neuroevolution Hit paper breakdown → | 2018 | 493 |
| 5 | 2017 | 404 | |
| 6 | Machine learning to classify animal species in camera trap images: Applications in ecology Hit paper breakdown → | 2018 | 383 |
| 7 | Managing extreme AI risks amid rapid progress Hit paper breakdown → | 2024 | 173 |
| 8 | 2013 | 167 | |
| 9 | Biological underpinnings for lifelong learning machines Hit paper breakdown → | 2022 | 165 |
| 10 | 2020 | 162 | |
| 11 | 2009 | 141 | |
| 12 | 2020 | 120 | |
| 13 | 2011 | 112 | |
| 14 | 2015 | 109 | |
| 15 | 2014 | 102 | |
| 16 | 2019 | 99 | |
| 17 | 2016 | 91 | |
| 18 | 2008 | 86 | |
| 19 | Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents | 2018 | 68 |
| 20 | 2017 | 67 |
About Jeff Clune
Jeff Clune is a scholar working on Artificial Intelligence, Genetics, Biomedical Engineering, History and Philosophy of Science and Computer Vision and Pattern Recognition, having authored 83 papers that have together received 7.7k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (43 papers), Evolution and Genetic Dynamics (11 papers), Reinforcement Learning in Robotics (10 papers), Domain Adaptation and Few-Shot Learning (7 papers), Robotic Locomotion and Control (6 papers), Soft Robotics and Applications (4 papers), Evolutionary Game Theory and Cooperation (4 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Artificial Intelligence (3.7k citations), Computer Vision and Pattern Recognition (1.6k citations), Ecological Modeling (78 citations), Health Informatics (68 citations) and Ecology (620 citations). Jeff Clune has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Jason Yosinski, Jean-Baptiste Mouret, Kenneth Owen Stanley, Joel Lehman, Antoine Cully, Danesh Tarapore, Mohammad Sadegh Norouzzadeh, Charles Ofria, Hod Lipson and Alexandra Swanson. Their work appears in journals such as PLoS Computational Biology, Artificial Life, PLoS ONE, Nature and Evolutionary Computation.
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.