Joshua E. Auerbach
Impact in
- Artificial Intelligence top 5%
- Reinforcement Learning in Robotics
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Mechanical Engineering top 10%
- Modular Robots and Swarm Intelligence
- Advanced Materials and Mechanics
Papers in
-
- Reinforcement Learning in Robotics 11
- Evolutionary Algorithms and Applications 9
- Machine Learning and ELM 1
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- Modular Robots and Swarm Intelligence 11
- Co-authors
- Josh Bongard (9 shared papers)Dario Floreano (7 shared papers)Joshua Bongard (1 shared paper)Przemyslaw Kornatowski (4 shared papers)Deniz Aydın (2 shared papers)Evert Haasdijk (1 shared paper)A. E. Eiben (1 shared paper)Titus Cieslewski (2 shared papers)
- Journals
- Artificial Life (4 papers)IEEE Transactions on Learning Technologies (1 paper)PLoS Computational Biology (1 paper)Journal of Food Quality (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (11 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Joshua E. Auerbach
20 papers receiving 373 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 244
- Mechanical Engineering 185
- Computer Science Applications 20
- Control and Systems Engineering 82
- Computational Theory and Mathematics 29
Countries citing papers authored by Joshua E. Auerbach
This map shows the geographic impact of Joshua E. Auerbach'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 Joshua E. Auerbach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua E. Auerbach more than expected).
Fields of papers citing papers by Joshua E. Auerbach
This network shows the impact of papers produced by Joshua E. Auerbach. 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 Joshua E. Auerbach. The network helps show where Joshua E. Auerbach may publish in the future.
Co-authors
The 20 scholars most cited alongside Joshua E. Auerbach, 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 | 2014 | 71 | |
| 2 | 2014 | 44 | |
| 3 | 2017 | 36 | |
| 4 | 2012 | 31 | |
| 5 | Dynamic Resolution in the Co-Evolution of Morphology and Control | 2010 | 30 |
| 6 | 2010 | 28 | |
| 7 | 2018 | 27 | |
| 8 | 2011 | 26 | |
| 9 | 2012 | 15 | |
| 10 | 2009 | 14 | |
| 11 | 2010 | 10 | |
| 12 | 2014 | 10 | |
| 13 | 2014 | 8 | |
| 14 | 2016 | 8 | |
| 15 | 2016 | 7 | |
| 16 | 2016 | 7 | |
| 17 | Automated Evolution of Interesting Images | 2012 | 5 |
| 18 | 2009 | 3 | |
| 19 | 2015 | 2 | |
| 20 | 2012 | 1 |
About Joshua E. Auerbach
Joshua E. Auerbach is a scholar working on Artificial Intelligence, Mechanical Engineering, Control and Systems Engineering, Information Systems and Management and Biomedical Engineering, having authored 20 papers that have together received 383 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (11 papers), Modular Robots and Swarm Intelligence (11 papers), Evolutionary Algorithms and Applications (9 papers), Robot Manipulation and Learning (7 papers), Robotic Locomotion and Control (2 papers), Scientific Computing and Data Management (2 papers), Quality Function Deployment in Product Design (1 paper) and Machine Learning and ELM (1 paper). The work is most often cited by research in Artificial Intelligence (244 citations), Mechanical Engineering (185 citations), Computer Science Applications (20 citations), Control and Systems Engineering (82 citations) and Computational Theory and Mathematics (29 citations). Joshua E. Auerbach has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Josh Bongard, Dario Floreano, Joshua Bongard, Przemyslaw Kornatowski, Deniz Aydın, Evert Haasdijk, A. E. Eiben, Titus Cieslewski, Ilya Loshchilov and Ludovic Daler. Their work appears in journals such as Artificial Life, IEEE Transactions on Learning Technologies, PLoS Computational Biology, Journal of Food Quality and Infoscience (Ecole Polytechnique Fédérale de Lausanne).
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.