Erick Chastain
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
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- Neural Networks Stability and Synchronization
- Distributed Control Multi-Agent Systems
- Nonlinear Dynamics and Pattern Formation
Papers in
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- Artificial Intelligence in Games 2
- Reinforcement Learning in Robotics 1
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- Gene Regulatory Network Analysis 4
- Co-authors
- Carl T. Bergstrom (3 shared papers)J.S. Freudenberg (3 shared papers)Daril A. Vilhena (3 shared papers)Noah J. Cowan (3 shared papers)Adi Livnat (2 shared papers)Umesh Vazirani (2 shared papers)Christos Papadimitriou (1 shared paper)Yanxi Liu (1 shared paper)
- Journals
- Neurocomputing (1 paper)Proceedings of the National Academy of Sciences (1 paper)Biosystems (1 paper)PLoS ONE (1 paper)Entropy (1 paper)
- Partner nations
- United StatesNetherlandsJapan
In The Last Decade
Erick Chastain
11 papers receiving 283 citations
Peers
Comparison fields: 5 of 64
- Statistical and Nonlinear Physics 120
- Computer Networks and Communications 112
- Computational Theory and Mathematics 28
- Management Science and Operations Research 21
- Molecular Biology 86
Countries citing papers authored by Erick Chastain
This map shows the geographic impact of Erick Chastain'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 Erick Chastain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erick Chastain more than expected).
Fields of papers citing papers by Erick Chastain
This network shows the impact of papers produced by Erick Chastain. 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 Erick Chastain. The network helps show where Erick Chastain may publish in the future.
Co-authors
The 22 scholars most cited alongside Erick Chastain, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 208 | |
| 2 | 2014 | 47 | |
| 3 | Active Learning as Non-Convex Optimization | 2009 | 8 |
| 4 | 2023 | 7 | |
| 5 | 2006 | 7 | |
| 6 | 2013 | 6 | |
| 7 | Planning in Reward-Rich Domains via PAC Bandits | 2012 | 4 |
| 8 | 2023 | 4 | |
| 9 | Controllability of Real Networks | 2011 | 2 |
| 10 | Nodal dynamics determine the controllability of complex networks | 2011 | 2 |
| 11 | 2017 | 1 |
About Erick Chastain
Erick Chastain is a scholar working on Artificial Intelligence, Molecular Biology, Management Science and Operations Research, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 11 papers that have together received 296 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (4 papers), Artificial Intelligence in Games (2 papers), Game Theory and Applications (2 papers), Evolution and Genetic Dynamics (2 papers), Opinion Dynamics and Social Influence (2 papers), Energy Efficient Wireless Sensor Networks (1 paper), Neural Networks Stability and Synchronization (1 paper) and Reinforcement Learning in Robotics (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (120 citations), Computer Networks and Communications (112 citations), Computational Theory and Mathematics (28 citations), Management Science and Operations Research (21 citations) and Molecular Biology (86 citations). Erick Chastain has collaborated with scholars based in United States, Netherlands and Japan. Frequent co-authors include Carl T. Bergstrom, J.S. Freudenberg, Daril A. Vilhena, Noah J. Cowan, Adi Livnat, Umesh Vazirani, Christos Papadimitriou, Yanxi Liu, Jeff Bilmes and Andrew Guillory. Their work appears in journals such as Neurocomputing, Proceedings of the National Academy of Sciences, Biosystems, PLoS ONE and Entropy.
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.