Jay Hegdé

41 papers and 880 indexed citations i.

About

Jay Hegdé is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Jay Hegdé has authored 41 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 11 papers in Computer Vision and Pattern Recognition and 8 papers in Artificial Intelligence. Recurrent topics in Jay Hegdé’s work include Visual perception and processing mechanisms (23 papers), Neural dynamics and brain function (14 papers) and Face Recognition and Perception (8 papers). Jay Hegdé is often cited by papers focused on Visual perception and processing mechanisms (23 papers), Neural dynamics and brain function (14 papers) and Face Recognition and Perception (8 papers). Jay Hegdé collaborates with scholars based in United States, China and Bulgaria. Jay Hegdé's co-authors include David C. Van Essen, Daniel J. Felleman, Daniel Kersten, Evgeniy Bart, Geoffrey M. Boynton, Edwin C. Stephenson, Xin Chen, Scott O. Murray, Fang Fang and Thomas D. Albright and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Development.

In The Last Decade

Co-authorship network of co-authors of Jay Hegdé i

Fields of papers citing papers by Jay Hegdé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jay Hegdé

Since Specialization
Citations

This map shows the geographic impact of Jay Hegdé'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 Jay Hegdé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Hegdé 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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2025