Christopher E. Miles
Impact in
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- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
- Artificial Intelligence top 10%
- Artificial Intelligence in Games
- Reinforcement Learning in Robotics
- Evolutionary Algorithms and Applications
Papers in
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- Gene Regulatory Network Analysis 6
- Genomics and Chromatin Dynamics 3
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- Microtubule and mitosis dynamics 7
- Cellular Mechanics and Interactions 4
- Co-authors
- Sushil J. Louis (6 shared papers)Nancy S. Cole (2 shared papers)Sean D. Lawley (3 shared papers)Alex Mogilner (4 shared papers)John R. McDonnell (2 shared papers)Etai Sapoznik (1 shared paper)Reto Fiolka (1 shared paper)Erik S. Welf (1 shared paper)
- Journals
- Current Biology (2 papers)Journal of The Royal Society Interface (2 papers)Bulletin of Mathematical Biology (2 papers)Traffic (1 paper)Journal of Nonlinear Science (1 paper)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Christopher E. Miles
21 papers receiving 308 citations
Peers
Comparison fields: 5 of 75
- Cell Biology 80
- Artificial Intelligence 152
- Developmental and Educational Psychology 29
- Biophysics 12
- Statistical and Nonlinear Physics 24
Countries citing papers authored by Christopher E. Miles
This map shows the geographic impact of Christopher E. Miles'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 Christopher E. Miles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher E. Miles more than expected).
Fields of papers citing papers by Christopher E. Miles
This network shows the impact of papers produced by Christopher E. Miles. 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 Christopher E. Miles. The network helps show where Christopher E. Miles may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher E. Miles, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 77 | |
| 2 | 2020 | 57 | |
| 3 | 2005 | 54 | |
| 4 | 2022 | 25 | |
| 5 | 2019 | 17 | |
| 6 | 2005 | 17 | |
| 7 | 2020 | 12 | |
| 8 | 2019 | 11 | |
| 9 | Co-evolving real-time strategy game players | 2007 | 11 |
| 10 | 2020 | 8 | |
| 11 | 2022 | 7 | |
| 12 | 2023 | 4 | |
| 13 | 2025 | 4 | |
| 14 | 2024 | 4 | |
| 15 | 2017 | 4 | |
| 16 | 2005 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2019 | 3 | |
| 19 | 2004 | 3 | |
| 20 | 2024 | 1 |
About Christopher E. Miles
Christopher E. Miles is a scholar working on Molecular Biology, Cell Biology, Artificial Intelligence, Condensed Matter Physics and Computational Theory and Mathematics, having authored 25 papers that have together received 327 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (7 papers), Gene Regulatory Network Analysis (6 papers), Artificial Intelligence in Games (4 papers), Evolutionary Algorithms and Applications (4 papers), Cellular Mechanics and Interactions (4 papers), Genomics and Chromatin Dynamics (3 papers), Reinforcement Learning in Robotics (3 papers) and Evolution and Genetic Dynamics (3 papers). The work is most often cited by research in Cell Biology (80 citations), Artificial Intelligence (152 citations), Developmental and Educational Psychology (29 citations), Biophysics (12 citations) and Statistical and Nonlinear Physics (24 citations). Christopher E. Miles has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Sushil J. Louis, Nancy S. Cole, Sean D. Lawley, Alex Mogilner, John R. McDonnell, Etai Sapoznik, Reto Fiolka, Erik S. Welf, Irina Tikhonenko and Rebecca Fisher. Their work appears in journals such as Current Biology, Journal of The Royal Society Interface, Bulletin of Mathematical Biology, Traffic and Journal of Nonlinear Science.
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.