Reuben Feinman

About

Reuben Feinman is a scholar working on Artificial Intelligence, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Reuben Feinman has authored 2 papers receiving a total of 10 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Cognitive Neuroscience. Recurrent topics in Reuben Feinman’s work include Face Recognition and Perception (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and Biomedical Text Mining and Ontologies (1 paper). Reuben Feinman is often cited by papers focused on Face Recognition and Perception (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and Biomedical Text Mining and Ontologies (1 paper). Reuben Feinman collaborates with scholars based in United States. Reuben Feinman's co-authors include K. L. Kwok and Brenden M. Lake and has published in prestigious journals such as Cognition and Journal of the American Society for Information Science.

In The Last Decade

Co-authorship network of co-authors of Reuben Feinman i

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Fields of papers citing papers by Reuben Feinman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Reuben Feinman

Since Specialization

Citations

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