Ranjan Sengupta
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Neuroscience and Music Perception
- Signal Processing top 10%
- Music and Audio Processing
Papers in
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- Neural dynamics and brain function 12
- Neuroscience and Music Perception 9
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- Complex Systems and Time Series Analysis 16
- Co-authors
- Dipak Ghosh (43 shared papers)Shankha Sanyal (24 shared papers)Archi Banerjee (25 shared papers)J. Roy (10 shared papers)Kaushik Banerjee (9 shared papers)Sayan Nag (7 shared papers)Partha Ghose (1 shared paper)Asoke Kumar Datta (10 shared papers)
In The Last Decade
Ranjan Sengupta
47 papers receiving 418 citations
Peers
Comparison fields: 5 of 76
- Cognitive Neuroscience 188
- Signal Processing 84
- Nuclear and High Energy Physics 83
- Music 20
- Statistical and Nonlinear Physics 70
Countries citing papers authored by Ranjan Sengupta
This map shows the geographic impact of Ranjan Sengupta'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 Ranjan Sengupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ranjan Sengupta more than expected).
Fields of papers citing papers by Ranjan Sengupta
This network shows the impact of papers produced by Ranjan Sengupta. 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 Ranjan Sengupta. The network helps show where Ranjan Sengupta may publish in the future.
Co-authors
The 16 scholars most cited alongside Ranjan Sengupta, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 72 | |
| 2 | 2015 | 61 | |
| 3 | 1989 | 26 | |
| 4 | 1987 | 24 | |
| 5 | 2018 | 24 | |
| 6 | 2010 | 21 | |
| 7 | 2021 | 18 | |
| 8 | 1985 | 18 | |
| 9 | 2015 | 17 | |
| 10 | 2016 | 16 | |
| 11 | 1990 | 13 | |
| 12 | 2017 | 13 | |
| 13 | 1987 | 11 | |
| 14 | 2017 | 10 | |
| 15 | 2020 | 10 | |
| 16 | 2021 | 9 | |
| 17 | 2012 | 8 | |
| 18 | 2017 | 7 | |
| 19 | 2020 | 6 | |
| 20 | Music and its Effect on Body, Brain/Mind:A Study on Indian Perspective by Neurophysical Approach | 2015 | 5 |
About Ranjan Sengupta
Ranjan Sengupta is a scholar working on Cognitive Neuroscience, Economics and Econometrics, Signal Processing, Molecular Biology and Statistical and Nonlinear Physics, having authored 51 papers that have together received 448 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (16 papers), Neural dynamics and brain function (12 papers), Chaos control and synchronization (11 papers), Music and Audio Processing (11 papers), Fractal and DNA sequence analysis (11 papers), High-Energy Particle Collisions Research (10 papers), Neuroscience and Music Perception (9 papers) and Nuclear physics research studies (7 papers). The work is most often cited by research in Cognitive Neuroscience (188 citations), Signal Processing (84 citations), Nuclear and High Energy Physics (83 citations), Music (20 citations) and Statistical and Nonlinear Physics (70 citations). Ranjan Sengupta has collaborated with scholars based in India, Canada and Germany. Frequent co-authors include Dipak Ghosh, Shankha Sanyal, Archi Banerjee, J. Roy, Kaushik Banerjee, Sayan Nag, Partha Ghose, Asoke Kumar Datta, A. Mukhopadhyay and Alicja Wieczorkowska. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Nuclear Physics A, The European Physical Journal A, Chaos Solitons & Fractals and Physical Review Letters.
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.