Michael B. Cohen

65 papers and 1.7k indexed citations i.

About

Michael B. Cohen is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Michael B. Cohen has authored 65 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 11 papers in Artificial Intelligence and 9 papers in Computational Theory and Mathematics. Recurrent topics in Michael B. Cohen’s work include Face Recognition and Perception (10 papers), Visual perception and processing mechanisms (10 papers) and Stochastic Gradient Optimization Techniques (9 papers). Michael B. Cohen is often cited by papers focused on Face Recognition and Perception (10 papers), Visual perception and processing mechanisms (10 papers) and Stochastic Gradient Optimization Techniques (9 papers). Michael B. Cohen collaborates with scholars based in United States, Israel and Germany. Michael B. Cohen's co-authors include Stephen Grossberg, Yin Tat Lee, Cameron Musco, Christopher Musco, Zhao Song, George A. Alvarez, Todd S. Horowitz, Talia Konkle, David W. Murhammer and Jonathan H. Hughes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, NeuroImage and Cancer.

In The Last Decade

Co-authorship network of co-authors of Michael B. Cohen i

Fields of papers citing papers by Michael B. Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael B. Cohen. 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 Michael B. Cohen. The network helps show where Michael B. Cohen may publish in the future.

Countries citing papers authored by Michael B. Cohen

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025