Proloy Das
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Hearing Loss and Rehabilitation
- Neuroscience and Music Perception
- Neurobiology of Language and Bilingualism
Papers in
-
- Neural dynamics and brain function 11
- Functional Brain Connectivity Studies 5
- EEG and Brain-Computer Interfaces 4
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- Blind Source Separation Techniques 7
- Co-authors
- Behtash Babadi (8 shared papers)Jonathan Z. Simon (6 shared papers)Christian Brodbeck (6 shared papers)Patrick L. Purdon (8 shared papers)Joshua P. Kulasingham (3 shared papers)Marlies Gillis (1 shared paper)Shohini Bhattasali (1 shared paper)Philip Resnik (1 shared paper)
- Journals
- eLife (3 papers)NeuroImage (2 papers)npj Digital Medicine (1 paper)Brain Communications (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United StatesRussiaSweden
In The Last Decade
Proloy Das
21 papers receiving 206 citations
Peers
Comparison fields: 5 of 46
- Cognitive Neuroscience 95
- Anesthesiology and Pain Medicine 16
- Signal Processing 21
- Health Informatics 2
- Experimental and Cognitive Psychology 16
Countries citing papers authored by Proloy Das
This map shows the geographic impact of Proloy Das'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 Proloy Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Proloy Das more than expected).
Fields of papers citing papers by Proloy Das
This network shows the impact of papers produced by Proloy Das. 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 Proloy Das. The network helps show where Proloy Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Proloy Das, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 68 | |
| 2 | 2023 | 46 | |
| 3 | 2023 | 14 | |
| 4 | 2020 | 14 | |
| 5 | 2022 | 11 | |
| 6 | 2023 | 10 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 5 | |
| 9 | 2020 | 5 | |
| 10 | 2016 | 4 | |
| 11 | 2019 | 4 | |
| 12 | 2017 | 3 | |
| 13 | 2020 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2017 | 2 | |
| 16 | 2018 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Proloy Das
Proloy Das is a scholar working on Cognitive Neuroscience, Signal Processing, Control and Systems Engineering, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine, having authored 21 papers that have together received 207 indexed citations. Recurring topics across this work include Neural dynamics and brain function (11 papers), Blind Source Separation Techniques (7 papers), Functional Brain Connectivity Studies (5 papers), EEG and Brain-Computer Interfaces (4 papers), Advanced MRI Techniques and Applications (2 papers), Sparse and Compressive Sensing Techniques (2 papers), Spectroscopy and Chemometric Analyses (2 papers) and Fault Detection and Control Systems (2 papers). The work is most often cited by research in Cognitive Neuroscience (95 citations), Anesthesiology and Pain Medicine (16 citations), Signal Processing (21 citations), Health Informatics (2 citations) and Experimental and Cognitive Psychology (16 citations). Proloy Das has collaborated with scholars based in United States, Russia and Sweden. Frequent co-authors include Behtash Babadi, Jonathan Z. Simon, Christian Brodbeck, Patrick L. Purdon, Joshua P. Kulasingham, Marlies Gillis, Shohini Bhattasali, Philip Resnik, Phoebe Gaston and Edward A. Bittner. Their work appears in journals such as eLife, NeuroImage, npj Digital Medicine, Brain Communications and PLoS Computational Biology.
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.