Jeff Moehlis

6.7k total citations · 1 hit paper
115 papers, 4.5k citations indexed

About

Jeff Moehlis is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Cognitive Neuroscience. According to data from OpenAlex, Jeff Moehlis has authored 115 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Networks and Communications, 48 papers in Statistical and Nonlinear Physics and 47 papers in Cognitive Neuroscience. Recurrent topics in Jeff Moehlis's work include Neural dynamics and brain function (46 papers), Nonlinear Dynamics and Pattern Formation (40 papers) and stochastic dynamics and bifurcation (30 papers). Jeff Moehlis is often cited by papers focused on Neural dynamics and brain function (46 papers), Nonlinear Dynamics and Pattern Formation (40 papers) and stochastic dynamics and bifurcation (30 papers). Jeff Moehlis collaborates with scholars based in United States, Germany and United Kingdom. Jeff Moehlis's co-authors include Philip Holmes, Eric Brown, Jonathan D. Cohen, Rafał Bogacz, Dan Wilson, T Smith, Barry E. DeMartini, Kimberly L. Turner, Holger Faisst and Igor Mezić and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Applied Physics Letters.

In The Last Decade

Jeff Moehlis

113 papers receiving 4.3k citations

Hit Papers

The physics of optimal decision making: A formal analysis... 2006 2026 2012 2019 2006 400 800 1.2k
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.

  1. The physics of optimal decision making: A formal analysis of models of performance in two-alternative forced-choice tasks.
    2006 1.2k citations Jeff Moehlis, Philip Holmes et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeff Moehlis United States 32 1.9k 1.2k 1.2k 764 630 115 4.5k
Frank C. Hoppensteadt United States 38 2.0k 1.1× 2.2k 1.8× 2.3k 2.0× 741 1.0× 876 1.4× 121 6.3k
G. Bard Ermentrout United States 32 2.9k 1.5× 2.0k 1.7× 1.9k 1.7× 1.1k 1.5× 371 0.6× 82 4.9k
Jack D. Cowan United States 31 4.3k 2.2× 2.0k 1.7× 1.4k 1.2× 1.4k 1.8× 613 1.0× 81 6.5k
Sara A. Solla United States 36 1.9k 1.0× 491 0.4× 284 0.2× 944 1.2× 446 0.7× 77 5.5k
Ernst Niebur United States 34 6.3k 3.3× 491 0.4× 388 0.3× 1.3k 1.7× 734 1.2× 125 13.4k
Marcelo O. Magnasco United States 38 1.3k 0.7× 1.6k 1.4× 581 0.5× 470 0.6× 258 0.4× 102 6.3k
Elisha Moses Israel 37 698 0.4× 919 0.8× 713 0.6× 659 0.9× 316 0.5× 91 4.7k
David Terman United States 31 2.5k 1.3× 1.7k 1.4× 1.5k 1.3× 1.7k 2.3× 316 0.5× 96 4.9k
S. Yoshizawa Japan 22 1.0k 0.5× 1.7k 1.4× 1.4k 1.2× 310 0.4× 856 1.4× 117 4.6k
Michael Rosenblum Germany 11 1.3k 0.7× 1.9k 1.6× 2.8k 2.4× 275 0.4× 248 0.4× 16 4.2k

Countries citing papers authored by Jeff Moehlis

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Moehlis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Moehlis

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

All Works

20 of 20 papers shown
1.
Moehlis, Jeff, et al.. (2025). Magnitude-constrained optimal chaotic desynchronization of neural populations. PubMed. 5. 1646391–1646391.
2.
Moehlis, Jeff, et al.. (2023). Symbolic regression via neural networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(8). 11 indexed citations
3.
Wilson, Dan & Jeff Moehlis. (2022). Recent advances in the analysis and control of large populations of neural oscillators. Annual Reviews in Control. 54. 327–351. 14 indexed citations
4.
Rowland, Michael A., Andrew M. Hein, Jie Sun, et al.. (2020). Decoding collective communications using information theory tools. Journal of The Royal Society Interface. 17(164). 20190563–20190563. 27 indexed citations
5.
Wilson, Dan, et al.. (2018). Synchronization of heterogeneous oscillator populations in response to weak and strong coupling. Chaos An Interdisciplinary Journal of Nonlinear Science. 28(12). 123114–123114. 18 indexed citations
6.
Wilson, Dan, et al.. (2018). Phase reduction and phase-based optimal control for biological systems: a tutorial. Biological Cybernetics. 113(1-2). 11–46. 68 indexed citations
7.
Moehlis, Jeff, et al.. (2018). Optimal phase control of biological oscillators using augmented phase reduction. Biological Cybernetics. 113(1-2). 161–178. 32 indexed citations
8.
Moehlis, Jeff, et al.. (2018). Phase model-based neuron stabilization into arbitrary clusters. Journal of Computational Neuroscience. 44(3). 363–378. 10 indexed citations
9.
Wilson, Dan & Jeff Moehlis. (2016). Isostable reduction with applications to time-dependent partial differential equations. Physical review. E. 94(1). 12211–12211. 21 indexed citations
10.
11.
Kenig, Eyal, M. C. Cross, Jeff Moehlis, & Kurt Wiesenfeld. (2013). Phase noise of oscillators with unsaturated amplifiers. Physical Review E. 88(6). 62922–62922. 10 indexed citations
12.
Moehlis, Jeff, et al.. (2013). Minimum energy control forin vitroneurons. Journal of Neural Engineering. 10(3). 36005–36005. 35 indexed citations
13.
Busch, Michael & Jeff Moehlis. (2012). Homogeneous assumption and the logistic behavior of information propagation. Physical Review E. 85(2). 26102–26102. 6 indexed citations
14.
Srivastava, Vaibhav, Jeff Moehlis, & Francesco Bullo. (2010). On bifurcations in nonlinear consensus networks. 1647–1652. 2 indexed citations
15.
Orosz, Gábor, Jeff Moehlis, & Francesco Bullo. (2010). Robotic reactions: Delay-induced patterns in autonomous vehicle systems. Physical Review E. 81(2). 25204–25204. 34 indexed citations
16.
Moehlis, Jeff, et al.. (2008). Optimal switching between collective motion states for two agents. Applied Mathematics Letters. 22(4). 600–604. 1 indexed citations
17.
Moehlis, Jeff, et al.. (2008). Characterizing the edge of chaos for a shear flow model. Physical Review E. 78(3). 36315–36315. 7 indexed citations
18.
Moehlis, Jeff, et al.. (2008). Coarse analysis of collective motion with different communication mechanisms. Mathematical Biosciences. 214(1-2). 49–57. 17 indexed citations
19.
Bonnet, Guillaume, et al.. (2007). Partial phase synchronization of neural populations due to random Poisson inputs. Journal of Computational Neuroscience. 25(1). 141–157. 16 indexed citations
20.
Moehlis, Jeff, et al.. (2004). The Influence of Spike Rate and Stimulus Duration on Noradrenergic Neurons. Journal of Computational Neuroscience. 17(1). 13–29. 39 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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