Jonathan S. Cant

About

Jonathan S. Cant is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Jonathan S. Cant has authored 48 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Cognitive Neuroscience, 10 papers in Computer Vision and Pattern Recognition and 7 papers in Social Psychology. Recurrent topics in Jonathan S. Cant’s work include Visual perception and processing mechanisms (32 papers), Face Recognition and Perception (23 papers) and Neural dynamics and brain function (14 papers). Jonathan S. Cant is often cited by papers focused on Visual perception and processing mechanisms (32 papers), Face Recognition and Perception (23 papers) and Neural dynamics and brain function (14 papers). Jonathan S. Cant collaborates with scholars based in Canada, United States and China. Jonathan S. Cant's co-authors include Melvyn A. Goodale, Yaoda Xu, Gavin Buckingham, Stephen R. Arnott, Jason P. Gallivan, Susanne Ferber, J. Randall Flanagan, Mary‐Ellen Large, Morgan D. Barense and Lei Mo and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and Current Biology.

In The Last Decade

Co-authorship network of co-authors of Jonathan S. Cant i

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Fields of papers citing papers by Jonathan S. Cant

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan S. Cant. 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 Jonathan S. Cant. The network helps show where Jonathan S. Cant may publish in the future.

Countries citing papers authored by Jonathan S. Cant

Since Specialization

Citations

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