Jay Hegdé

1.4k citations
43 papers · 1.1k · h-index 16

Impact in

Papers in

Jay Hegdé

39 papers receiving 1.0k citations

Peers

Jay Hegdé
Comparison fields: 5 of 90
  • Cognitive Neuroscience 826
  • Complementary and Manual Therapy 38
  • Cellular and Molecular Neuroscience 167
  • Sensory Systems 40
  • Computer Vision and Pattern Recognition 180
Replace John M. Crook with:
John M. Crook Germany
Keith A. May United Kingdom
Yoav Tadmor United Kingdom
Choongkil Lee South Korea
Elias B. Issa United States
Thom Carney United States
Yasuko Sugase-Miyamoto Japan
Robert A. Frazor United States
Ben S. Webb United Kingdom
Haidong Lu China
Jay Hegdé relative to John M. Crook Germany John M. Crook's profile →
Citations per field
00.5×6.2×
John M. Crook · 1×
Citations per year

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).

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.

Co-authors

The 19 scholars most cited alongside Jay Hegdé, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jay Hegdé Line = papers co-authored together Jay Hegdé links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000264
2 2006136
3 200669
4 200365
5 200760
6 200459
7 200343
8 200840
9 200537
10 200435
11 201029
12 200823
13 200423
14 199321
15 201221
16 200619
17 201012
18 200412
19 201210
20 20129

About Jay Hegdé

Jay Hegdé is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Artificial Intelligence, Cellular and Molecular Neuroscience and Social Psychology, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (23 papers), Neural dynamics and brain function (14 papers), Face Recognition and Perception (8 papers), Neurobiology and Insect Physiology Research (8 papers), Neural and Behavioral Psychology Studies (6 papers), Visual Attention and Saliency Detection (5 papers), AI in cancer detection (5 papers) and Color perception and design (3 papers). The work is most often cited by research in Cognitive Neuroscience (826 citations), Complementary and Manual Therapy (38 citations), Cellular and Molecular Neuroscience (167 citations), Sensory Systems (40 citations) and Computer Vision and Pattern Recognition (180 citations). Jay Hegdé has collaborated with scholars based in United States, China and Bulgaria. Frequent co-authors include David C. Van Essen, Daniel J. Felleman, Daniel Kersten, Evgeniy Bart, Geoffrey M. Boynton, Xin Chen, Edwin C. Stephenson, Scott O. Murray, Dina Montufar‐Solis and Fang Fang. Their work appears in journals such as Journal of Vision, Journal of Neurophysiology, Journal of Neuroscience, Visual Neuroscience and Frontiers in Neuroscience.

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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