Disha Gupta

766 citations
39 papers · 507 · h-index 12

Impact in

    • EEG and Brain-Computer Interfaces
    • Neural dynamics and brain function
    • Functional Brain Connectivity Studies
  • Neurology top 10%
    • Transcranial Magnetic Stimulation Studies

Papers in

Disha Gupta

34 papers receiving 497 citations

Peers

Disha Gupta
Comparison fields: 5 of 72
  • Cognitive Neuroscience 285
  • Neurology 70
  • Cellular and Molecular Neuroscience 142
  • Psychiatry and Mental health 81
  • Rehabilitation 35
Replace Peter Höller with:
Peter Höller Austria
Dragana Viceic Switzerland
Saša Radovanović Serbia
Andrew James Thomas Stevenson Denmark
Dan Stashuk Canada
Patricia Linortner Austria
David T. Bundy United States
Zheng Ke Hong Kong
Hikmat Hadoush Jordan
Tetsuo Ota Japan
Disha Gupta relative to Peter Höller Austria Peter Höller's profile →
Citations per field
00.5×1.7×
Peter Höller · 1×
Citations per year

Countries citing papers authored by Disha Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Disha Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201291
2 201189
3 201745
4 201240
5 201739
6 201427
7 201820
8 200719
9 201416
10 201816
11 201211
12 201411
13 201710
14 201710
15 20198
16 20226
17 20206
18 20076
19 20226
20 20195

About Disha Gupta

Disha Gupta is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Neurology, Surgery and Signal Processing, having authored 39 papers that have together received 507 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (17 papers), Neural dynamics and brain function (8 papers), Functional Brain Connectivity Studies (6 papers), Neuroscience and Neural Engineering (5 papers), Muscle activation and electromyography studies (4 papers), Transcranial Magnetic Stimulation Studies (4 papers), Blind Source Separation Techniques (2 papers) and Neurological Disorders and Treatments (2 papers). The work is most often cited by research in Cognitive Neuroscience (285 citations), Neurology (70 citations), Cellular and Molecular Neuroscience (142 citations), Psychiatry and Mental health (81 citations) and Rehabilitation (35 citations). Disha Gupta has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Pauly Ossenblok, Gilles van Luijtelaar, Jason B. Carmel, N. Jeremy Hill, Anthony L. Ritaccio, Gerwin Schalk, Aysegul Gunduz, Matthew A. Adamo, Peter Brunner and Asht M. Mishra. Their work appears in journals such as Journal of Neural Engineering, Journal of Visualized Experiments, Neurorehabilitation and neural repair, Epilepsy & Behavior and PLoS ONE.

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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