Souvik Phadikar
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Signal Processing top 5%
- Blind Source Separation Techniques
Papers in
-
- EEG and Brain-Computer Interfaces 14
- Neural dynamics and brain function 6
- Functional Brain Connectivity Studies 3
-
- Blind Source Separation Techniques 10
- Co-authors
- Nidul Sinha (11 shared papers)Rajdeep Ghosh (9 shared papers)Ebrahim Ghaderpour (6 shared papers)Nabamita Deb (3 shared papers)Pranesh Das (2 shared papers)Aaron F. Struck (1 shared paper)Saroj Kr. Biswas (1 shared paper)Ramesh Saha (1 shared paper)
- Journals
- Sensors (2 papers)Data in Brief (1 paper)Frontiers in Neuroscience (1 paper)Expert Systems with Applications (1 paper)IEEE Sensors Journal (1 paper)
- Partner nations
- IndiaUnited StatesItaly
In The Last Decade
Souvik Phadikar
14 papers receiving 463 citations
Peers
Comparison fields: 5 of 74
- Cognitive Neuroscience 330
- Signal Processing 129
- Human-Computer Interaction 49
- Experimental and Cognitive Psychology 88
- Cardiology and Cardiovascular Medicine 80
Countries citing papers authored by Souvik Phadikar
This map shows the geographic impact of Souvik Phadikar'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 Souvik Phadikar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Souvik Phadikar more than expected).
Fields of papers citing papers by Souvik Phadikar
This network shows the impact of papers produced by Souvik Phadikar. 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 Souvik Phadikar. The network helps show where Souvik Phadikar may publish in the future.
Co-authors
The 12 scholars most cited alongside Souvik Phadikar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 70 | |
| 2 | 2022 | 65 | |
| 3 | 2023 | 64 | |
| 4 | 2022 | 57 | |
| 5 | 2023 | 46 | |
| 6 | 2022 | 39 | |
| 7 | 2022 | 34 | |
| 8 | 2020 | 32 | |
| 9 | 2022 | 29 | |
| 10 | 2025 | 12 | |
| 11 | 2019 | 12 | |
| 12 | 2025 | 6 | |
| 13 | 2022 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 0 |
About Souvik Phadikar
Souvik Phadikar is a scholar working on Cognitive Neuroscience, Signal Processing, Experimental and Cognitive Psychology, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 471 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (14 papers), Blind Source Separation Techniques (10 papers), Neural dynamics and brain function (6 papers), Emotion and Mood Recognition (3 papers), Functional Brain Connectivity Studies (3 papers), ECG Monitoring and Analysis (2 papers), Advanced Memory and Neural Computing (1 paper) and Spectroscopy and Chemometric Analyses (1 paper). The work is most often cited by research in Cognitive Neuroscience (330 citations), Signal Processing (129 citations), Human-Computer Interaction (49 citations), Experimental and Cognitive Psychology (88 citations) and Cardiology and Cardiovascular Medicine (80 citations). Souvik Phadikar has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Nidul Sinha, Rajdeep Ghosh, Ebrahim Ghaderpour, Nabamita Deb, Pranesh Das, Aaron F. Struck, Saroj Kr. Biswas, Ramesh Saha, Vince D. Calhoun and Armin Iraji. Their work appears in journals such as Sensors, Data in Brief, Frontiers in Neuroscience, Expert Systems with Applications and IEEE Sensors Journal.
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.