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
Papers in
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- Reinforcement Learning in Robotics 12
- Evolutionary Algorithms and Applications 10
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- Modular Robots and Swarm Intelligence 12
- Co-authors
- Josh Bongard (11 shared papers)Dario Floreano (7 shared papers)Przemyslaw Kornatowski (4 shared papers)Ludovic Daler (2 shared papers)Titus Cieslewski (2 shared papers)Deniz Aydın (2 shared papers)Ilya Loshchilov (2 shared papers)Giovanni Iacca (2 shared papers)
- Journals
- Artificial Life (4 papers)PLoS Computational Biology (1 paper)IEEE Transactions on Learning Technologies (1 paper)Journal of Food Quality (1 paper)Studies in computational intelligence (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Joshua E. Auerbach
21 papers receiving 477 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 321
- Mechanical Engineering 246
- Control and Systems Engineering 105
- Computer Science Applications 24
- Computational Theory and Mathematics 36
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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 86 | |
| 2 | 2014 | 60 | |
| 3 | 2017 | 48 | |
| 4 | 2012 | 41 | |
| 5 | 2010 | 37 | |
| 6 | 2011 | 33 | |
| 7 | Dynamic Resolution in the Co-Evolution of Morphology and Control | 2010 | 33 |
| 8 | 2018 | 33 | |
| 9 | 2009 | 19 | |
| 10 | 2012 | 17 | |
| 11 | 2014 | 15 | |
| 12 | 2016 | 13 | |
| 13 | 2016 | 11 | |
| 14 | 2010 | 11 | |
| 15 | 2016 | 9 | |
| 16 | 2014 | 8 | |
| 17 | Automated Evolution of Interesting Images | 2012 | 5 |
| 18 | 2009 | 4 | |
| 19 | 2015 | 3 | |
| 20 | 2011 | 3 |
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 Biophysics, having authored 21 papers that have together received 491 indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (12 papers), Reinforcement Learning in Robotics (12 papers), Evolutionary Algorithms and Applications (10 papers), Robot Manipulation and Learning (7 papers), Scientific Computing and Data Management (2 papers), Robotic Locomotion and Control (2 papers), Quality Function Deployment in Product Design (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Artificial Intelligence (321 citations), Mechanical Engineering (246 citations), Control and Systems Engineering (105 citations), Computer Science Applications (24 citations) and Computational Theory and Mathematics (36 citations). Joshua E. Auerbach has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Josh Bongard, Dario Floreano, Przemyslaw Kornatowski, Ludovic Daler, Titus Cieslewski, Deniz Aydın, Ilya Loshchilov, Giovanni Iacca, Agoston Endre Eiben and Evert Haasdijk. Their work appears in journals such as Artificial Life, PLoS Computational Biology, IEEE Transactions on Learning Technologies, Journal of Food Quality and Studies in computational intelligence.
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.