Sujit Roy

645 citations
23 papers · 341 · h-index 10

Impact in

Papers in

Sujit Roy

18 papers receiving 322 citations

Peers

Sujit Roy
Comparison fields: 5 of 52
  • Cognitive Neuroscience 162
  • Human-Computer Interaction 24
  • Cellular and Molecular Neuroscience 59
  • Analytical Chemistry 31
  • Plant Science 95
Replace Penghai Li with:
Penghai Li China
Sergio Pérez-Velasco Spain
Xinyu Wu China
Sayali Upasham United States
Ralph W. Pridmore Australia
Panagiotis Mougkogiannis United Kingdom
Ashraf Badawi Egypt
Guan-Ting Chen Taiwan
Shin’ichiro Kanoh Japan
Shang Zhang China
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Citations per field
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Citations per year

Countries citing papers authored by Sujit Roy

Since Specialization
Citations

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

Fields of papers citing papers by Sujit Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202099
2 199157
3 202048
4 202028
5 202025
6 202124
7 201916
8 199114
9 201910
10 20239
11 20143
12 20232
13 20251
14 20221
15 20181
16 20151
17
Mapping BCI task imagery brain responses using MEG beta power desynchrony effects
20201
18 20231
19 20230
20 20210

About Sujit Roy

Sujit Roy is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Biomedical Engineering and Information Systems, having authored 23 papers that have together received 341 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), Neural dynamics and brain function (7 papers), Neuroscience and Neural Engineering (4 papers), Functional Brain Connectivity Studies (3 papers), Advanced Memory and Neural Computing (2 papers), Muscle activation and electromyography studies (2 papers), Advanced Materials Characterization Techniques (2 papers) and Cloud Computing and Resource Management (2 papers). The work is most often cited by research in Cognitive Neuroscience (162 citations), Human-Computer Interaction (24 citations), Cellular and Molecular Neuroscience (59 citations), Analytical Chemistry (31 citations) and Plant Science (95 citations). Sujit Roy has collaborated with scholars based in United Kingdom, Bangladesh and United States. Frequent co-authors include Girijesh Prasad, Karl McCreadie, Subrata Das, Anirban Chowdhury, Dheeraj Rathee, Richard J. Puddephatt, Peter Norton, Eric Ou, John D. Scott and Neil H. Dryden. Their work appears in journals such as Chemistry of Materials, IEEE Geoscience and Remote Sensing Magazine, Journal of Neural Engineering, Human Brain Mapping and Frontiers in Neuroscience.

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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