Gregory S. Hornby
- Artificial Intelligence top 1%
- Mechanical Engineering top 5%
- Biomedical Engineering
- Computational Theory and Mathematics top 2%
- Aerospace Engineering top 10%
- Co-authors
- Jordan PollackJason LohnHod LipsonDerek S. LindenMasahiro FujitaTomoyuki YamamotoJosh BongardAl Globus
- Topics
- Evolutionary Algorithms and Applications (28 papers)Modular Robots and Swarm Intelligence (12 papers)Reinforcement Learning in Robotics (11 papers)
- Partner nations
- United StatesJapanNorway
In The Last Decade
Gregory S. Hornby
54 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 99
- Artificial Intelligence 922
- Mechanical Engineering 449
- Biomedical Engineering 251
- Computational Theory and Mathematics 208
- Aerospace Engineering 170
Countries citing papers authored by Gregory S. Hornby
This map shows the geographic impact of Gregory S. Hornby'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 Gregory S. Hornby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory S. Hornby more than expected).
Fields of papers citing papers by Gregory S. Hornby
This network shows the impact of papers produced by Gregory S. Hornby. 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 Gregory S. Hornby. The network helps show where Gregory S. Hornby may publish in the future.
Co-authorship network of co-authors of Gregory S. Hornby
This figure shows the co-authorship network connecting the top 25 collaborators of Gregory S. Hornby. A scholar is included among the top collaborators of Gregory S. Hornby 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 Gregory S. Hornby. Gregory S. Hornby is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 8 | |
| 4 | 7 | |
| 5 | 59 | |
| 6 | 1 | |
| 7 | Proceedings of the 8th international conference on Evolvable Systems: From Biology to Hardware | 3 |
| 8 | 15 | |
| 9 | 7 | |
| 10 | 16 | |
| 11 | 2 | |
| 12 | 7 | |
| 13 | 36 | |
| 14 | 13 | |
| 15 | 41 | |
| 16 | 42 | |
| 17 | Generative representations for evolutionary design automation | 40 |
| 18 | 6 | |
| 19 | Body-brain co-evolution using L-systems as a generative encoding | 88 |
| 20 | Diffuse versus true coevolution in a physics-based world | 5 |
About Gregory S. Hornby
Gregory S. Hornby is a scholar working on Artificial Intelligence, Management of Technology and Innovation and Architecture, having authored 55 papers that have together received 1.5k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (28 papers), Modular Robots and Swarm Intelligence (12 papers) and Reinforcement Learning in Robotics (11 papers). The work is most often cited by research in Architecture (52 citations), Artificial Intelligence (922 citations) and Computational Theory and Mathematics (208 citations). Gregory S. Hornby has collaborated with scholars based in United States, Japan and Norway. Frequent co-authors include Jordan Pollack, Jason Lohn, Hod Lipson, Derek S. Linden, Masahiro Fujita, Tomoyuki Yamamoto, Josh Bongard, Al Globus, Pablo Funes and William F. Kraus. Their work appears in journals such as Science, IEEE Transactions on Robotics and Automation and IEEE Transactions on Robotics.
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.