Jay Hegdé

1.3k citations
41 papers · 931 · h-index 15

Impact in

    • Visual perception and processing mechanisms
    • Neural dynamics and brain function
    • Face Recognition and Perception
    • Neural and Behavioral Psychology Studies
    • Functional Brain Connectivity Studies
    • Neurobiology and Insect Physiology Research

Papers in

    • Visual perception and processing mechanisms 23
    • Neural dynamics and brain function 14
    • Face Recognition and Perception 8
    • Neural and Behavioral Psychology Studies 6
    • Visual Attention and Saliency Detection 5
    • Image Retrieval and Classification Techniques 3

Jay Hegdé

37 papers receiving 901 citations

Peers

Jay Hegdé
Comparison fields: 5 of 76
  • Cognitive Neuroscience 790
  • Cellular and Molecular Neuroscience 160
  • Computer Vision and Pattern Recognition 174
  • Sensory Systems 33
  • Biophysics 33
Replace Thom Carney with:
Thom Carney United States
Robert A. Frazor United States
Yoav Tadmor United Kingdom
Elias B. Issa United States
Ethan M. Meyers United States
Yevgeniy B. Sirotin United States
Hedva Spitzer Israel
Yasuko Sugase-Miyamoto Japan
Haidong Lu China
Ruben Coen-Cagli United States
Jay Hegdé relative to Thom Carney United States Thom Carney's profile →
Citations per field
00.5×1.5×
Thom Carney · 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 14 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 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000246
2 2006129
3 200364
4 200456
5 200755
6 200341
7 200536
8 200435
9 200834
10 201027
11 200822
12 200421
13 201220
14 200619
15 199319
16 200412
17 201011
18 201210
19 20099
20 20128

About Jay Hegdé

Jay Hegdé is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Cellular and Molecular Neuroscience, Artificial Intelligence and Social Psychology, having authored 41 papers that have together received 931 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 Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Cognitive Neuroscience (790 citations), Cellular and Molecular Neuroscience (160 citations), Computer Vision and Pattern Recognition (174 citations), Sensory Systems (33 citations) and Biophysics (33 citations). Jay Hegdé has collaborated with scholars based in United States, South Korea and Bulgaria. Frequent co-authors include David C. Van Essen, Daniel J. Felleman, Daniel Kersten, Evgeniy Bart, Geoffrey M. Boynton, Edwin C. Stephenson, Xin Chen, Fang Fang, Scott O. Murray and Thomas D. Albright. Their work appears in journals such as Journal of Neurophysiology, Journal of Vision, Journal of Neuroscience, Current Biology 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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