Debadatta Dash

428 citations
26 papers · 266 · h-index 10

Impact in

    • EEG and Brain-Computer Interfaces
    • Functional Brain Connectivity Studies
    • Neural dynamics and brain function
    • Blind Source Separation Techniques
    • Speech and Audio Processing

Papers in

Debadatta Dash

23 papers receiving 251 citations

Peers

Debadatta Dash
Comparison fields: 5 of 38
  • Cognitive Neuroscience 202
  • Signal Processing 58
  • Pharmacy 7
  • Cellular and Molecular Neuroscience 27
  • Neurology 20
Replace Federico Chella with:
Federico Chella Italy
Aya Kabbara France
Elizabeth Bock Canada
Griffin Milsap United States
Urszula Malinowska Poland
Benjamin Wittevrongel Belgium
Takumi Mitsuhashi Japan
Adriana de Pesters United States
Maria Carla Piastra Netherlands
Debadatta Dash relative to Federico Chella Italy Federico Chella's profile →
Citations per field
00.5×2.9×
Federico Chella · 1×
Citations per year

Countries citing papers authored by Debadatta Dash

Since Specialization
Citations

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

Fields of papers citing papers by Debadatta Dash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202077
2 202025
3 202019
4 201819
5 201915
6 201914
7 201811
8 202011
9 201910
10 20189
11 20198
12 20218
13 20206
14 20245
15 20205
16 20185
17 20185
18 20244
19 20233
20 20233

About Debadatta Dash

Debadatta Dash is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering, Neurology, Signal Processing and Psychiatry and Mental health, having authored 26 papers that have together received 266 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (15 papers), Functional Brain Connectivity Studies (11 papers), Neural dynamics and brain function (8 papers), Advanced Memory and Neural Computing (4 papers), Epilepsy research and treatment (3 papers), Atomic and Subatomic Physics Research (2 papers), Speech Recognition and Synthesis (2 papers) and Action Observation and Synchronization (2 papers). The work is most often cited by research in Cognitive Neuroscience (202 citations), Signal Processing (58 citations), Pharmacy (7 citations), Cellular and Molecular Neuroscience (27 citations) and Neurology (20 citations). Debadatta Dash has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Paul Ferrari, Jun Wang, Jun Wang, Saleem Malik, Jun Wang, Jun Wang, Joseph A. Maldjian, Daragh Heitzman, Elizabeth M. Davenport and Jun Wang. Their work appears in journals such as eLife, Frontiers in Neuroscience, Current Biology, Neurology and IEEE Access.

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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