Kenneth O. Stanley
About
In The Last Decade
Kenneth O. Stanley
137 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Artificial Intelligence 6.5k
- Computer Vision and Pattern Recognition 1.4k
- Sociology and Political Science 1.1k
- Mechanical Engineering 867
- Computational Theory and Mathematics 743
Countries citing papers authored by Kenneth O. Stanley
This map shows the geographic impact of Kenneth O. Stanley'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 Kenneth O. Stanley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth O. Stanley more than expected).
Fields of papers citing papers by Kenneth O. Stanley
This network shows the impact of papers produced by Kenneth O. Stanley. 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 Kenneth O. Stanley. The network helps show where Kenneth O. Stanley may publish in the future.
Co-authorship network of co-authors of Kenneth O. Stanley
This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth O. Stanley. A scholar is included among the top collaborators of Kenneth O. Stanley 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 Kenneth O. Stanley. Kenneth O. Stanley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents | 51 |
| 2 | 3 | |
| 3 | 25 | |
| 4 | 40 | |
| 5 | 34 | |
| 6 | 12 | |
| 7 | 33 | |
| 8 | Evolving Static Representations for Task Transfer | 35 |
| 9 | A Hypercube-Based Encoding for Evolving Large-Scale Neural Networks breakdown → | 417 |
| 10 | A case study on the critical role of geometric regularity in machine learning | 46 |
| 11 | Exploiting Open-Endedness to Solve Problems Through the Search for Novelty | 214 |
| 12 | Real-time evolution of neural networks in the NERO video game | 24 |
| 13 | 2 | |
| 14 | Exploiting Regularity Without Development. | 32 |
| 15 | Real-time interactive learning in the NERO video game | 1 |
| 16 | 9 | |
| 17 | Real-Time Evolution in the NERO Video Game (Winner of CIG 2005 Best Paper Award). | 5 |
| 18 | 15 | |
| 19 | Efficient Reinforcement Learning Through Evolving Neural Network Topologies | 115 |
| 20 | Continual Coevolution Through Complexification | 21 |
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.