Koel Das

555 citations
30 papers · 380 · h-index 11

Impact in

    • EEG and Brain-Computer Interfaces
    • Neural dynamics and brain function
    • Neural and Behavioral Psychology Studies
    • Visual perception and processing mechanisms
    • Face Recognition and Perception
    • Functional Brain Connectivity Studies

Papers in

    • Neural dynamics and brain function 10
    • Face Recognition and Perception 9
    • EEG and Brain-Computer Interfaces 7
    • Neural and Behavioral Psychology Studies 5
    • Speech Recognition and Synthesis 5
    • Neural Networks and Applications 4

Koel Das

28 papers receiving 374 citations

Peers

Koel Das
Comparison fields: 5 of 82
  • Cognitive Neuroscience 251
  • Human-Computer Interaction 27
  • Signal Processing 42
  • Cellular and Molecular Neuroscience 65
  • Computer Vision and Pattern Recognition 62
Replace Shubham Dodia with:
Shubham Dodia India
C.R. Hema Malaysia
Ignas Martišius Lithuania
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Citations per field
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Citations per year

Countries citing papers authored by Koel Das

Since Specialization
Citations

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

Fields of papers citing papers by Koel Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Koel Das, 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 Koel Das Line = papers co-authored together Koel Das links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200856
2 201056
3 201141
4 200937
5 200735
6 201334
7 200725
8 201817
9 201214
10 200912
11 202011
12 20217
13 20165
14 20114
15 20154
16
Amrita SRE Database: A Database for Evaluating Speaker Recognition Systems with Mimicked Speech
20154
17 20063
18 20152
19 20202
20 20022

About Koel Das

Koel Das is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition and Biophysics, having authored 30 papers that have together received 380 indexed citations. Recurring topics across this work include Neural dynamics and brain function (10 papers), Face Recognition and Perception (9 papers), EEG and Brain-Computer Interfaces (7 papers), Speech and Audio Processing (5 papers), Speech Recognition and Synthesis (5 papers), Neural and Behavioral Psychology Studies (5 papers), Neural Networks and Applications (4 papers) and Music and Audio Processing (4 papers). The work is most often cited by research in Cognitive Neuroscience (251 citations), Human-Computer Interaction (27 citations), Signal Processing (42 citations), Cellular and Molecular Neuroscience (65 citations) and Computer Vision and Pattern Recognition (62 citations). Koel Das has collaborated with scholars based in United States, India and Italy. Frequent co-authors include Zoran Nenadić, Miguel P. Eckstein, Barry Giesbrecht, Jocelyn L. Sy, Binh T. Pham, Craig K. Abbey, Matthew Peterson, Daniel S. Rizzuto, Subhajit Bandyopadhyay and Fen Guo. Their work appears in journals such as Journal of Vision, Journal of Neuroscience, NeuroImage, Pattern Recognition and Scientific Reports.

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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