Saugat Bhattacharyya
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 5%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Human-Computer Interaction top 2%
- Co-authors
- Amit KonarKunal PalBikash K. PradhanD. N. TibarewalaAnwesha KhasnobishMitsuhiro HayashibeHaider RazaAtulya K. Nagar
- Topics
- EEG and Brain-Computer Interfaces (40 papers)Neuroscience and Neural Engineering (21 papers)Advanced Memory and Neural Computing (12 papers)
- 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
- Cellular and Molecular Neuroscience 310
- Electrical and Electronic Engineering 211
- Biomedical Engineering 170
- Human-Computer Interaction 147
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 of co-authors of Saugat Bhattacharyya
This figure shows the co-authorship network connecting the top 25 collaborators of Saugat Bhattacharyya. A scholar is included among the top collaborators of Saugat Bhattacharyya based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Saugat Bhattacharyya. Saugat Bhattacharyya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 33 | |
| 11 | 8 | |
| 12 | 14 | |
| 13 | 1 | |
| 14 | 81 | |
| 15 | 8 | |
| 16 | 6 | |
| 17 | 46 | |
| 18 | 2 | |
| 19 | 6 | |
| 20 | 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) and Advanced Memory and Neural Computing (12 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.