Deep Ganguli

2.5k citations
4 papers · 302 · h-index 4

Impact in

    • Neural dynamics and brain function
    • Visual perception and processing mechanisms
    • Neural and Behavioral Psychology Studies
    • Data Management and Algorithms

Papers in

    • Neural dynamics and brain function 2
    • Visual perception and processing mechanisms 2
    • Face Recognition and Perception 1
    • Blind Source Separation Techniques 1
    • Data Management and Algorithms 1

Deep Ganguli

4 papers receiving 289 citations

Peers

Deep Ganguli
Comparison fields: 5 of 50
  • Cognitive Neuroscience 167
  • Signal Processing 42
  • Computer Networks and Communications 77
  • General Decision Sciences 4
  • Information Systems and Management 15
Replace Cyrus Omar with:
Cyrus Omar United States
Joshua Rosen United States
Li Yan Yuan Canada
Emmanouil Skoufos United States
Raphael Y. de Camargo Brazil
Michele Bezzi Italy
Roland Fernandez United States
Aaron Adler United States
Chenggang Wu China
Hirak J. Kashyap United States
Deep Ganguli relative to Cyrus Omar United States Cyrus Omar's profile →
Citations per field
00.5×2.6×
Cyrus Omar · 1×
Citations per year

Countries citing papers authored by Deep Ganguli

Since Specialization
Citations

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

Fields of papers citing papers by Deep Ganguli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Deep Ganguli, 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 Deep Ganguli Line = papers co-authored together Deep Ganguli links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1 2014115
2 2014101
3
Implicit encoding of prior probabilities in optimal neural populations.
201061
4 202125

About Deep Ganguli

Deep Ganguli is a scholar working on Cognitive Neuroscience, Signal Processing, Computer Networks and Communications, Molecular Biology and Biophysics, having authored 4 papers that have together received 302 indexed citations. Recurring topics across this work include Neural dynamics and brain function (2 papers), Visual perception and processing mechanisms (2 papers), Single-cell and spatial transcriptomics (1 paper), Advanced Data Storage Technologies (1 paper), Blind Source Separation Techniques (1 paper), Data Management and Algorithms (1 paper), Face Recognition and Perception (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Cognitive Neuroscience (167 citations), Signal Processing (42 citations), Computer Networks and Communications (77 citations), General Decision Sciences (4 citations) and Information Systems and Management (15 citations). Deep Ganguli has collaborated with scholars based in United States. Frequent co-authors include Eero P. Simoncelli, Ambrose Carr, Kevin A. Yamauchi, Justin Kiggins, Jeremy Freeman, Tony Tung and Brian Long. Their work appears in journals such as Neural Computation, PubMed and The Journal of Open Source Software.

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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