Erick Chastain

476 total citations
11 papers, 273 citations indexed

About

Erick Chastain is a scholar working on Artificial Intelligence, Molecular Biology and Management Science and Operations Research. According to data from OpenAlex, Erick Chastain has authored 11 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Molecular Biology and 4 papers in Management Science and Operations Research. Recurrent topics in Erick Chastain's work include Gene Regulatory Network Analysis (4 papers), Game Theory and Applications (2 papers) and Evolution and Genetic Dynamics (2 papers). Erick Chastain is often cited by papers focused on Gene Regulatory Network Analysis (4 papers), Game Theory and Applications (2 papers) and Evolution and Genetic Dynamics (2 papers). Erick Chastain collaborates with scholars based in United States, Netherlands and Canada. Erick Chastain's co-authors include J.S. Freudenberg, Noah J. Cowan, Carl T. Bergstrom, Daril A. Vilhena, Umesh Vazirani, Adi Livnat, Christos Papadimitriou, Christos H. Papadimitriou, Jeff Bilmes and Andrew Guillory and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Neurocomputing.

In The Last Decade

Erick Chastain

11 papers receiving 261 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Erick Chastain United States	5	109	106	84	32	28	11	273
Jiandong Zhu China	9	71 0.7×	221 2.1×	47 0.6×	10 0.3×	31 1.1×	18	319
Tamara Mihaljev Switzerland	7	177 1.6×	54 0.5×	281 3.3×	50 1.6×	32 1.1×	12	446
Emanuele Cozzo Spain	11	360 3.3×	98 0.9×	80 1.0×	13 0.4×	63 2.3×	20	487
Liangjie Sun China	11	50 0.5×	130 1.2×	372 4.4×	35 1.1×	16 0.6×	19	503
Bianka Kovács Hungary	5	151 1.4×	35 0.3×	349 4.2×	41 1.3×	22 0.8×	5	530
Qunxi Zhu China	9	69 0.6×	65 0.6×	286 3.4×	27 0.8×	7 0.3×	17	416
Peilian Guo China	10	39 0.4×	77 0.7×	181 2.2×	76 2.4×	86 3.1×	18	378
Michael Hörnquist Sweden	12	173 1.6×	90 0.8×	243 2.9×	30 0.9×	6 0.2×	24	452
Zhengzhong Yuan China	7	323 3.0×	303 2.9×	137 1.6×	9 0.3×	12 0.4×	13	558

Countries citing papers authored by Erick Chastain

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Erick Chastain

This figure shows the co-authorship network connecting the top 25 collaborators of Erick Chastain. A scholar is included among the top collaborators of Erick Chastain 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 Erick Chastain. Erick Chastain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Marshall, William, Matteo Grasso, Alireza Zaeemzadeh, et al.. (2023). System Integrated Information. Entropy. 25(2). 334–334. 7 indexed citations

2.

Chastain, Erick. (2023). Formal autopoiesis: Solutions of the classical and extended functional closure equations. Biosystems. 226. 104872–104872. 4 indexed citations

3.

Chastain, Erick. (2017). The multiplicative weight updates method for evolutionary biology. Rutgers University Community Repository (Rutgers University). 1 indexed citations

4.

Chastain, Erick, Adi Livnat, Christos Papadimitriou, & Umesh Vazirani. (2014). Algorithms, games, and evolution. Proceedings of the National Academy of Sciences. 111(29). 10620–10623. 41 indexed citations

5.

Chastain, Erick, Adi Livnat, Christos H. Papadimitriou, & Umesh Vazirani. (2013). Multiplicative updates in coordination games and the theory of evolution. 57–58. 6 indexed citations

6.

Weinstein, Ari, et al.. (2012). Planning in Reward-Rich Domains via PAC Bandits. 25–42. 4 indexed citations

7.

Cowan, Noah J., Erick Chastain, Daril A. Vilhena, J.S. Freudenberg, & Carl T. Bergstrom. (2012). Nodal Dynamics, Not Degree Distributions, Determine the Structural Controllability of Complex Networks. PLoS ONE. 7(6). e38398–e38398. 196 indexed citations

8.

Cowan, Noah J., Erick Chastain, Daril A. Vilhena, J.S. Freudenberg, & Carl T. Bergstrom. (2011). Nodal dynamics determine the controllability of complex networks. arXiv (Cornell University). 2 indexed citations

9.

Cowan, Noah J., Erick Chastain, Daril A. Vilhena, J.S. Freudenberg, & Carl T. Bergstrom. (2011). Controllability of Real Networks. arXiv (Cornell University). 2 indexed citations

10.

Guillory, Andrew, Erick Chastain, & Jeff Bilmes. (2009). Active Learning as Non-Convex Optimization. International Conference on Artificial Intelligence and Statistics. 201–208. 7 indexed citations

11.

Chastain, Erick & Yanxi Liu. (2006). Quantified symmetry for entorhinal spatial maps. Neurocomputing. 70(10-12). 1723–1727. 3 indexed citations

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.

Explore authors with similar magnitude of impact