Jay Hegdé

1.3k citations
43 papers · 989 · h-index 15

Impact in

    • Visual perception and processing mechanisms
    • Face Recognition and Perception
    • Neural dynamics and brain function
    • Neural and Behavioral Psychology Studies
    • Functional Brain Connectivity Studies
    • Visual Attention and Saliency Detection
    • Advanced Image and Video Retrieval Techniques

Papers in

Jay Hegdé

39 papers receiving 951 citations

Peers

Jay Hegdé
Comparison fields: 5 of 51
  • Cognitive Neuroscience 836
  • Computer Vision and Pattern Recognition 95
  • Experimental and Cognitive Psychology 55
  • Health Informatics 7
  • General Decision Sciences 8
Replace Jonas Kubilius with:
Jonas Kubilius Belgium
Viktor Gál Hungary
Ruben Coen-Cagli United States
Maryam Vaziri-Pashkam United States
Koorosh Mirpour United States
J.-M. Hupe France
Paul Azzopardi United Kingdom
Natalia Y. Bilenko United States
Pouya Bashivan United States
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Citations per field
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Jonas Kubilius · 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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000257
2 2006135
3 200367
4 200759
5 200456
6 200344
7 200841
8 200539
9 200437
10 201029
11 200824
12 200423
13 199321
14 201221
15 200617
16 200412
17 201012
18 201210
19 20128
20 19997

About Jay Hegdé

Jay Hegdé is a scholar working on Cognitive Neuroscience, General Decision Sciences, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology, having authored 43 papers that have together received 989 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (32 papers), Face Recognition and Perception (4 papers), Categorization, perception, and language (4 papers), AI in cancer detection (4 papers), Decision-Making and Behavioral Economics (3 papers), Radiology practices and education (3 papers), Visual Attention and Saliency Detection (2 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Cognitive Neuroscience (836 citations), Computer Vision and Pattern Recognition (95 citations), Experimental and Cognitive Psychology (55 citations), Health Informatics (7 citations) and General Decision Sciences (8 citations). Jay Hegdé has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include David C. Van Essen, Daniel J. Felleman, Daniel Kersten, Evgeniy Bart, Geoffrey M. Boynton, Edwin C. Stephenson, Fang Fang, Scott O. Murray, Thomas D. Albright and Gene R. Stoner. Their work appears in journals such as Journal of Neurophysiology, Journal of Neuroscience, Journal of Vision, Frontiers in Psychology and Cognitive Research Principles and Implications.

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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