Jeff Clune

18.8k total citations · 5 hit papers
58 papers, 7.2k citations indexed

About

Jeff Clune is a scholar working on Artificial Intelligence, Mechanical Engineering and Genetics. According to data from OpenAlex, Jeff Clune has authored 58 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 12 papers in Mechanical Engineering and 9 papers in Genetics. Recurrent topics in Jeff Clune's work include Evolutionary Algorithms and Applications (27 papers), Reinforcement Learning in Robotics (22 papers) and Modular Robots and Swarm Intelligence (11 papers). Jeff Clune is often cited by papers focused on Evolutionary Algorithms and Applications (27 papers), Reinforcement Learning in Robotics (22 papers) and Modular Robots and Swarm Intelligence (11 papers). Jeff Clune collaborates with scholars based in United States, Denmark and France. Jeff Clune's 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 and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Jeff Clune

56 papers receiving 6.8k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

How transferable are features in deep neural networks?

2014 2.3k citations Jason Yosinski, Jeff Clune et al. arXiv (Cornell University) profile →
Deep neural networks are easily fooled: High confidence predictions for unrecognizable images

2015 1.5k citations Anh‐Tu Nguyen, Jason Yosinski et al. profile →
Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning

2018 682 citations Mohammad Sadegh Norouzzadeh, Anh‐Tu Nguyen et al. profile →
Robots that can adapt like animals

2015 566 citations Antoine Cully, Jeff Clune et al. Nature profile →
Designing neural networks through neuroevolution

2018 399 citations Kenneth O. Stanley, Jeff Clune et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeff Clune United States	26	3.3k	2.2k	586	545	466	58	7.2k
Connor Shorten United States	4	2.9k 0.9×	2.5k 1.1×	761 1.3×	417 0.8×	372 0.8×	10	9.0k
Jinglan Zhang Australia	26	1.9k 0.6×	1.5k 0.7×	614 1.0×	446 0.8×	484 1.0×	133	7.5k
José Santamaría Spain	24	1.9k 0.6×	1.6k 0.7×	639 1.1×	331 0.6×	172 0.4×	61	6.7k
Tsung-Yi Lin United States	22	3.0k 0.9×	5.1k 2.3×	469 0.8×	347 0.6×	205 0.4×	40	10.1k
Sherjil Ozair United States	6	2.7k 0.8×	3.5k 1.6×	515 0.9×	438 0.8×	104 0.2×	7	8.5k
Mehdi Mirza Canada	5	3.1k 0.9×	3.9k 1.8×	530 0.9×	444 0.8×	107 0.2×	5	9.2k
Jean Pouget-Abadie United States	6	2.5k 0.7×	3.3k 1.5×	512 0.9×	437 0.8×	104 0.2×	11	8.2k
João Paulo Papa Brazil	46	2.8k 0.8×	1.7k 0.8×	567 1.0×	389 0.7×	134 0.3×	287	7.8k
Li Liu China	43	4.0k 1.2×	6.8k 3.1×	597 1.0×	394 0.7×	218 0.5×	402	13.1k

Countries citing papers authored by Jeff Clune

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Jeff Clune

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Miconi, Thomas, Aditya Rawal, Jeff Clune, & Kenneth O. Stanley. (2020). Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity. arXiv (Cornell University). 6 indexed citations

Wang, Rui, Jeff Clune, & Kenneth O. Stanley. (2018). VINE. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 1562–1564. 3 indexed citations

Conti, Edoardo, Vashisht Madhavan, Felipe Petroski Such, et al.. (2018). Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents. Neural Information Processing Systems. 31. 5027–5038. 51 indexed citations

Huizinga, Joost, Kenneth O. Stanley, & Jeff Clune. (2018). The Emergence of Canalization and Evolvability in an Open-Ended, Interactive Evolutionary System. Artificial Life. 24(3). 157–181. 13 indexed citations

Norouzzadeh, Mohammad Sadegh, et al.. (2017). Automatically identifying wild animals in camera trap images with deep learning.. arXiv (Cornell University). 17 indexed citations

Huizinga, Joost, et al.. (2016). The Evolutionary Origins of Hierarchy. PLoS Computational Biology. 12(6). e1004829–e1004829. 76 indexed citations

Li, Yixuan, Jason Yosinski, Jeff Clune, Hod Lipson, & John E. Hopcroft. (2016). Convergent Learning: Do different neural networks learn the same representations?. International Conference on Learning Representations. 196–212. 32 indexed citations

Lehman, Joel, Sebastian Risi, & Jeff Clune. (2016). Creative Generation of 3D Objects with Deep Learning and Innovation Engines.. IT University Of Copenhagen (IT University of Copenhagen). 180–187. 19 indexed citations

Clune, Jeff, et al.. (2016). Identifying Core Functional Networks and Functional Modules within Artificial Neural Networks via Subsets Regression. 181–188. 3 indexed citations

10.

Nguyen, Anh‐Tu, Jason Yosinski, & Jeff Clune. (2016). Understanding Innovation Engines: Automated Creativity and Improved Stochastic Optimization via Deep Learning. Evolutionary Computation. 24(3). 545–572. 23 indexed citations

11.

Clune, Jeff, et al.. (2016). Curiosity Search: Producing Generalists by Encouraging Individuals to Continually Explore and Acquire Skills throughout Their Lifetime. PLoS ONE. 11(9). e0162235–e0162235. 6 indexed citations

12.

Ellefsen, Kai Olav, Jean-Baptiste Mouret, & Jeff Clune. (2015). Neural Modularity Helps Organisms Evolve to Learn New Skills without Forgetting Old Skills. PLoS Computational Biology. 11(4). e1004128–e1004128. 85 indexed citations

13.

Cully, Antoine, Jeff Clune, Danesh Tarapore, & Jean-Baptiste Mouret. (2015). Robots that can adapt like animals. Nature. 521(7553). 503–507. 566 indexed citations breakdown →

14.

Kubichek, Robert F., et al.. (2015). A method to improve signal quality in wireless ad-hoc networks with limited mobility. 50. 171–175. 2 indexed citations

15.

Lehman, Joel, Jeff Clune, & Sebastian Risi. (2014). An Anarchy of Methods: Current Trends in How Intelligence Is Abstracted in AI. IEEE Intelligent Systems. 29(6). 56–62. 9 indexed citations

16.

Yosinski, Jason, Jeff Clune, Yoshua Bengio, & Hod Lipson. (2014). How transferable are features in deep neural networks?. arXiv (Cornell University). 27. 3320–3328. 2267 indexed citations breakdown →

17.

Cheney, Nick, Robert MacCurdy, Jeff Clune, & Hod Lipson. (2014). Unshackling evolution. 7(1). 11–23. 83 indexed citations

18.

Clune, Jeff, Kenneth O. Stanley, Robert T. Pennock, & Charles Ofria. (2011). On the Performance of Indirect Encoding Across the Continuum of Regularity. IEEE Transactions on Evolutionary Computation. 15(3). 346–367. 89 indexed citations

19.

Goldsby, Heather J., et al.. (2009). Problem decomposition using indirect reciprocity in evolved populations. 400. 105–112.

20.

Clune, Jeff, Dusan Misevic, Charles Ofria, et al.. (2008). Natural Selection Fails to Optimize Mutation Rates for Long-Term Adaptation on Rugged Fitness Landscapes. PLoS Computational Biology. 4(9). e1000187–e1000187. 77 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.

Explore authors with similar magnitude of impact