Bharathi Jagadeesh

919 citations
13 papers · 715 · h-index 10

Impact in

    • Neural dynamics and brain function
    • Visual perception and processing mechanisms
    • Face Recognition and Perception
    • Memory and Neural Mechanisms
    • Neuroscience and Neuropharmacology Research
    • Neurobiology and Insect Physiology Research
    • Neuroscience and Neural Engineering
    • Photoreceptor and optogenetics research

Papers in

Bharathi Jagadeesh

13 papers receiving 700 citations

Peers

Bharathi Jagadeesh
Comparison fields: 5 of 53
  • Cognitive Neuroscience 661
  • Cellular and Molecular Neuroscience 303
  • Sensory Systems 38
  • Developmental Biology 16
  • Biophysics 28
Replace S. Chenchal Rao with:
S. Chenchal Rao United States
Timo van Kerkoerle France
Devika Narain Netherlands
Tatsuo K. Sato Japan
Leslie C. Osborne United States
Eghbal A. Hosseini United States
Robbe L. T. Goris United States
Louis J. Toth United States
Hsin‐Hao Yu Australia
Geoffrey M. Ghose United States
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Citations per field
00.5×1.5×2.2×
S. Chenchal Rao · 1×
Citations per year

Countries citing papers authored by Bharathi Jagadeesh

Since Specialization
Citations

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

Fields of papers citing papers by Bharathi Jagadeesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Bharathi Jagadeesh, 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 Bharathi Jagadeesh Line = papers co-authored together Bharathi Jagadeesh links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1993164
2 1992143
3 1997108
4 200083
5 200167
6 200859
7 200840
8 200816
9 200515
10 200712
11 20084
12 20192
13 20042

About Bharathi Jagadeesh

Bharathi Jagadeesh is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Computer Vision and Pattern Recognition, Social Psychology and Sensory Systems, having authored 13 papers that have together received 715 indexed citations. Recurring topics across this work include Neural dynamics and brain function (12 papers), Visual perception and processing mechanisms (9 papers), Face Recognition and Perception (4 papers), Neurobiology and Insect Physiology Research (3 papers), Memory and Neural Mechanisms (2 papers), Olfactory and Sensory Function Studies (1 paper), Advanced Image and Video Retrieval Techniques (1 paper) and Primate Behavior and Ecology (1 paper). The work is most often cited by research in Cognitive Neuroscience (661 citations), Cellular and Molecular Neuroscience (303 citations), Sensory Systems (38 citations), Developmental Biology (16 citations) and Biophysics (28 citations). Bharathi Jagadeesh has collaborated with scholars based in United States and Italy. Frequent co-authors include David Ferster, Charles M. Gray, Robert Desimone, C. A. Erickson, Leonid L. Kontsevich, Christopher W. Tyler, Yan Liu, Scott O. Murray, Yan Liu and Mortimer Mishkin. Their work appears in journals such as Journal of Neurophysiology, Science, Cerebral Cortex, Nature Neuroscience and PeerJ.

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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