Jeff Moehlis

107 papers and 4.2k indexed citations i.

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 107 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Networks and Communications, 45 papers in Statistical and Nonlinear Physics and 44 papers in Cognitive Neuroscience. Recurrent topics in Jeff Moehlis’s work include Neural dynamics and brain function (43 papers), Nonlinear Dynamics and Pattern Formation (38 papers) and stochastic dynamics and bifurcation (26 papers). Jeff Moehlis is often cited by papers focused on Neural dynamics and brain function (43 papers), Nonlinear Dynamics and Pattern Formation (38 papers) and stochastic dynamics and bifurcation (26 papers). Jeff Moehlis collaborates with scholars based in United States, Germany and United Kingdom. Jeff Moehlis's co-authors include Philip Holmes, Eric Brown, Rafał Bogacz, Jonathan D. Cohen, Dan Wilson, T Smith, Holger Faisst, Barry E. DeMartini, Kimberly L. Turner and Bruno Eckhardt 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

Co-authorship network of co-authors of Jeff Moehlis i

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.

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).

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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