Eric Brown

3.0k total citations · 1 hit paper
7 papers, 1.9k citations indexed

About

Eric Brown is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Eric Brown has authored 7 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 3 papers in Statistical and Nonlinear Physics and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Eric Brown's work include Neural dynamics and brain function (6 papers), stochastic dynamics and bifurcation (3 papers) and Neural and Behavioral Psychology Studies (2 papers). Eric Brown is often cited by papers focused on Neural dynamics and brain function (6 papers), stochastic dynamics and bifurcation (3 papers) and Neural and Behavioral Psychology Studies (2 papers). Eric Brown collaborates with scholars based in United States, Australia and United Kingdom. Eric Brown's co-authors include Philip Holmes, Jeff Moehlis, Jonathan D. Cohen, Rafał Bogacz, H. Suzuki, Raymond Sterling, Todd S. Braver, Leigh E. Nystrom, Andrew D. Jones and Juan Gao and has published in prestigious journals such as Psychological Review, Physical Review A and Neural Computation.

In The Last Decade

Eric Brown

7 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The physics of optimal decision making: A formal analysis of models of performance in two-alternative forced-choice tasks.

2006 1.2k citations Rafał Bogacz, Eric Brown et al. Psychological Review profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eric Brown United States	7	1.3k	286	261	251	213	7	1.9k
Rubén Moreno‐Bote Spain	26	2.3k 1.7×	172 0.6×	462 1.8×	117 0.5×	668 3.1×	62	2.6k
Yonatan Loewenstein Israel	24	1.3k 1.0×	60 0.2×	96 0.4×	52 0.2×	749 3.5×	65	2.0k
Richard A. Heath Australia	16	900 0.7×	141 0.5×	76 0.3×	52 0.2×	51 0.2×	46	1.8k
Jeffrey M. Beck United States	19	2.7k 2.1×	147 0.5×	163 0.6×	29 0.1×	534 2.5×	30	3.2k
Máté Lengyel United Kingdom	26	2.4k 1.9×	75 0.3×	132 0.5×	45 0.2×	822 3.9×	75	3.0k
Mukeshwar Dhamala United States	17	1.4k 1.0×	21 0.1×	953 3.7×	836 3.3×	225 1.1×	22	2.1k
Terrence C. Stewart Canada	21	1.2k 0.9×	167 0.6×	32 0.1×	44 0.2×	406 1.9×	94	2.3k
Pietro Berkes United States	12	1.2k 0.9×	46 0.2×	59 0.2×	22 0.1×	286 1.3×	19	1.6k
Chung‐Chuan Lo Taiwan	21	983 0.7×	26 0.1×	71 0.3×	90 0.4×	472 2.2×	76	2.4k
Kenneth H. Britten United States	22	4.2k 3.2×	54 0.2×	121 0.5×	32 0.1×	1.3k 6.3×	33	4.5k

Countries citing papers authored by Eric Brown

Since Specialization

Citations

This map shows the geographic impact of Eric Brown'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 Eric Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Brown more than expected).

Fields of papers citing papers by Eric Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric Brown. 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 Eric Brown. The network helps show where Eric Brown may publish in the future.

Co-authorship network of co-authors of Eric Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Brown. A scholar is included among the top collaborators of Eric Brown 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 Eric Brown. Eric Brown 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:

7 of 7 papers shown

1.

Suzuki, H., Eric Brown, & Raymond Sterling. (2015). Nonlinear dynamics of an optomechanical system with a coherent mechanical pump: Second-order sideband generation. Physical Review A. 92(3). 58 indexed citations

2.

Bogacz, Rafał, Eric Brown, Jeff Moehlis, Philip Holmes, & Jonathan D. Cohen. (2006). The physics of optimal decision making: A formal analysis of models of performance in two-alternative forced-choice tasks.. Psychological Review. 113(4). 700–765. 1220 indexed citations breakdown →

3.

Brown, Eric, Juan Gao, Philip Holmes, et al.. (2005). SIMPLE NEURAL NETWORKS THAT OPTIMIZE DECISIONS. International Journal of Bifurcation and Chaos. 15(3). 803–826. 74 indexed citations

4.

Brown, Eric, Jeff Moehlis, & Philip Holmes. (2004). On the Phase Reduction and Response Dynamics of Neural. 8 indexed citations

5.

Brown, Eric, Jeff Moehlis, & Philip Holmes. (2004). On the Phase Reduction and Response Dynamics of Neural Oscillator Populations. Neural Computation. 16(4). 673–715. 367 indexed citations

6.

Nystrom, Leigh E., et al.. (2002). Mechanisms underlying dependencies of performance on stimulus history in a two-alternative forced-choice task. Cognitive Affective & Behavioral Neuroscience. 2(4). 283–299. 102 indexed citations

7.

Brown, Eric & Philip Holmes. (2001). MODELING A SIMPLE CHOICE TASK: STOCHASTIC DYNAMICS OF MUTUALLY INHIBITORY NEURAL GROUPS. Stochastics and Dynamics. 1(2). 159–191. 44 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.

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