Saugat Bhattacharyya
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces 40
- Neural dynamics and brain function 8
- Human-Computer Interaction top 2%
- Gaze Tracking and Assistive Technology 4
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- Neuroscience and Neural Engineering 21
- Signal Processing top 5%
- Blind Source Separation Techniques 8
- Health Informatics top 10%
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- Advanced Memory and Neural Computing 12
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- Neural Networks and Applications 6
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- Muscle activation and electromyography studies 4
- Co-authors
- Amit KonarKunal PalBikash K. PradhanD. N. TibarewalaAnwesha KhasnobishMitsuhiro HayashibeHaider RazaAtulya K. Nagar
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Saugat Bhattacharyya
53 papers receiving 995 citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Cognitive Neuroscience 637
- Human-Computer Interaction 147
- Cellular and Molecular Neuroscience 310
- Signal Processing 126
- Health Informatics 12
Countries citing papers authored by Saugat Bhattacharyya
This map shows the geographic impact of Saugat Bhattacharyya'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 Saugat Bhattacharyya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saugat Bhattacharyya more than expected).
Fields of papers citing papers by Saugat Bhattacharyya
This network shows the impact of papers produced by Saugat Bhattacharyya. 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 Saugat Bhattacharyya. The network helps show where Saugat Bhattacharyya may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Saugat Bhattacharyya, 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 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 5 | |
| 8 | 2021 | 6 | |
| 9 | 2019 | 3 | |
| 10 | 2017 | 33 | |
| 11 | 2016 | 8 | |
| 12 | 2014 | 14 | |
| 13 | 2014 | 1 | |
| 14 | 2014 | 81 | |
| 15 | 2014 | 8 | |
| 16 | 2014 | 6 | |
| 17 | 2013 | 46 | |
| 18 | 2013 | 2 | |
| 19 | 2011 | 6 | |
| 20 | 2010 | 97 |
About Saugat Bhattacharyya
Saugat Bhattacharyya is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Signal Processing, having authored 58 papers that have together received 1.0k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (40 papers), Neuroscience and Neural Engineering (21 papers), Advanced Memory and Neural Computing (12 papers), Blind Source Separation Techniques (8 papers), Neural dynamics and brain function (8 papers), Neural Networks and Applications (6 papers), Gaze Tracking and Assistive Technology (4 papers) and Muscle activation and electromyography studies (4 papers). The work is most often cited by research in Cognitive Neuroscience (637 citations), Human-Computer Interaction (147 citations) and Cellular and Molecular Neuroscience (310 citations). Saugat Bhattacharyya has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Amit Konar, Kunal Pal, Bikash K. Pradhan, D. N. Tibarewala, D. N. Tibarewala, Anwesha Khasnobish, Mitsuhiro Hayashibe, Haider Raza, Atulya K. Nagar and Anirban Chowdhury. Their work appears in journals such as Scientific Reports, Fuel and Biosensors and Bioelectronics.
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.