Christopher E. Miles

585 citations
27 papers · 364 · h-index 9

Impact in

    • Microtubule and mitosis dynamics
    • Cellular Mechanics and Interactions
    • Artificial Intelligence in Games
    • Reinforcement Learning in Robotics
    • Evolutionary Algorithms and Applications
    • Metaheuristic Optimization Algorithms Research

Papers in

Christopher E. Miles

21 papers receiving 342 citations

Peers

Christopher E. Miles
Comparison fields: 5 of 76
  • Cell Biology 84
  • Artificial Intelligence 175
  • Developmental and Educational Psychology 32
  • Biophysics 12
  • Statistical and Nonlinear Physics 26
Replace Thimo Rohlf with:
Thimo Rohlf Germany
Joanna Tyrcha Sweden
Michael Hund Germany
Devin P. Sullivan United States
Jake P. Taylor‐King United Kingdom
Hoa T. Vu United States
Chris Hughes United Kingdom
Luca Tesei Italy
Satya N.V. Arjunan Japan
Giorgio Gosti Italy
Christopher E. Miles relative to Thimo Rohlf Germany Thimo Rohlf's profile →
Citations per field
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Thimo Rohlf · 1×
Citations per year

Countries citing papers authored by Christopher E. Miles

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Christopher E. Miles Line = papers co-authored together Christopher E. Miles links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200494
2 202063
3 200563
4 202226
5 201918
6 200518
7 202012
8 201911
9
Co-evolving real-time strategy game players
200711
10 20228
11 20208
12 20254
13 20174
14 20244
15 20054
16 20234
17 20044
18 20233
19 20193
20 20241

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 27 papers that have together received 364 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (7 papers), Gene Regulatory Network Analysis (5 papers), Artificial Intelligence in Games (4 papers), Evolutionary Algorithms and Applications (4 papers), Cellular Mechanics and Interactions (4 papers), Evolution and Genetic Dynamics (3 papers), Reinforcement Learning in Robotics (3 papers) and Micro and Nano Robotics (3 papers). The work is most often cited by research in Cell Biology (84 citations), Artificial Intelligence (175 citations), Developmental and Educational Psychology (32 citations), Biophysics (12 citations) and Statistical and Nonlinear Physics (26 citations). Christopher E. Miles has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Sushil J. Louis, Nancy S. Cole, Sean D. Lawley, Alex Mogilner, Kevin M. Dean, Etai Sapoznik, Reto Fiolka, Meghan Driscoll, Jungsik Noh and Andrew Weems. Their work appears in journals such as Bulletin of Mathematical Biology, Current Biology, Journal of The Royal Society Interface, Bioinformatics and SIAM Journal on Applied Mathematics.

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.

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