Rajdeep Ghosh
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
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- EEG and Brain-Computer Interfaces 13
- Neural dynamics and brain function 4
-
- Blind Source Separation Techniques 10
- Co-authors
- Nidul Sinha (12 shared papers)Souvik Phadikar (9 shared papers)Ebrahim Ghaderpour (5 shared papers)Saroj Kr. Biswas (3 shared papers)Pranesh Das (2 shared papers)Nabamita Deb (3 shared papers)Aaron F. Struck (1 shared paper)Nabanita Das (2 shared papers)
- Journals
- Computational Economics (1 paper)Expert Systems with Applications (1 paper)IEEE Sensors Journal (1 paper)Sensors (1 paper)Biomedical Signal Processing and Control (1 paper)
- Partner nations
- IndiaItalyUnited States
In The Last Decade
Rajdeep Ghosh
15 papers receiving 377 citations
Peers
Comparison fields: 5 of 70
- Cognitive Neuroscience 268
- Signal Processing 117
- Human-Computer Interaction 44
- Experimental and Cognitive Psychology 51
- Cardiology and Cardiovascular Medicine 66
Countries citing papers authored by Rajdeep Ghosh
This map shows the geographic impact of Rajdeep Ghosh'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 Rajdeep Ghosh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajdeep Ghosh more than expected).
Fields of papers citing papers by Rajdeep Ghosh
This network shows the impact of papers produced by Rajdeep Ghosh. 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 Rajdeep Ghosh. The network helps show where Rajdeep Ghosh may publish in the future.
Co-authors
The 14 scholars most cited alongside Rajdeep Ghosh, 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 | 2022 | 65 | |
| 2 | 2023 | 64 | |
| 3 | 2023 | 46 | |
| 4 | 2018 | 41 | |
| 5 | 2022 | 39 | |
| 6 | 2022 | 34 | |
| 7 | 2020 | 32 | |
| 8 | 2022 | 29 | |
| 9 | 2019 | 12 | |
| 10 | 2024 | 11 | |
| 11 | 2023 | 4 | |
| 12 | 2018 | 3 | |
| 13 | 2022 | 3 | |
| 14 | 2019 | 2 | |
| 15 | 2025 | 1 |
About Rajdeep Ghosh
Rajdeep Ghosh is a scholar working on Cognitive Neuroscience, Signal Processing, Electrical and Electronic Engineering, Experimental and Cognitive Psychology and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 386 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (13 papers), Blind Source Separation Techniques (10 papers), Neural dynamics and brain function (4 papers), Advanced Memory and Neural Computing (2 papers), Emotion and Mood Recognition (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Neuroscience and Neural Engineering (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Cognitive Neuroscience (268 citations), Signal Processing (117 citations), Human-Computer Interaction (44 citations), Experimental and Cognitive Psychology (51 citations) and Cardiology and Cardiovascular Medicine (66 citations). Rajdeep Ghosh has collaborated with scholars based in India, Italy and United States. Frequent co-authors include Nidul Sinha, Souvik Phadikar, Ebrahim Ghaderpour, Saroj Kr. Biswas, Pranesh Das, Nabamita Deb, Aaron F. Struck, Nabanita Das, Bikash Sadhukhan and Satyajit Chakrabarti. Their work appears in journals such as Computational Economics, Expert Systems with Applications, IEEE Sensors Journal, Sensors and Biomedical Signal Processing and Control.
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.