Ramesh Srinivasan
- Cognitive Neuroscience top 0.2%
- Neural dynamics and brain function 64
- EEG and Brain-Computer Interfaces 52
- Functional Brain Connectivity Studies 37
- Visual perception and processing mechanisms 15
- Neural and Behavioral Psychology Studies 13
- Structural Biology top 0.5%
- Signal Processing top 1%
- Blind Source Separation Techniques 10
- Neurology top 2%
-
- Advanced MRI Techniques and Applications 8
-
- Parallel Computing and Optimization Techniques 7
- Co-authors
- Paul L. NunezRichard B. SilbersteinDon M. TuckerPeter J. CaduschRanjith S. WijesingheAndrew F. WestdorpJian DingW. Winter
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesSingaporeAustralia
In The Last Decade
Ramesh Srinivasan
125 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Cognitive Neuroscience 5.8k
- Structural Biology 288
- Cellular and Molecular Neuroscience 1.1k
- Signal Processing 475
- Neurology 319
Countries citing papers authored by Ramesh Srinivasan
This map shows the geographic impact of Ramesh Srinivasan'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 Ramesh Srinivasan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramesh Srinivasan more than expected).
Fields of papers citing papers by Ramesh Srinivasan
This network shows the impact of papers produced by Ramesh Srinivasan. 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 Ramesh Srinivasan. The network helps show where Ramesh Srinivasan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ramesh Srinivasan, 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 | 1 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 0 | |
| 4 | 2022 | 2 | |
| 5 | 2020 | 5 | |
| 6 | 2020 | 10 | |
| 7 | 2019 | 43 | |
| 8 | 2018 | 238 | |
| 9 | 2018 | 58 | |
| 10 | 2016 | 85 | |
| 11 | 2015 | 178 | |
| 12 | 2014 | 1 | |
| 13 | 2014 | 58 | |
| 14 | 2012 | 14 | |
| 15 | 2011 | 22 | |
| 16 | 2010 | 48 | |
| 17 | 2007 | 97 | |
| 18 | 2006 | 93 | |
| 19 | 2006 | 138 | |
| 20 | 1999 | 91 |
About Ramesh Srinivasan
Ramesh Srinivasan is a scholar working on Cognitive Neuroscience, Structural Biology and Hardware and Architecture, having authored 128 papers that have together received 7.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (64 papers), EEG and Brain-Computer Interfaces (52 papers), Functional Brain Connectivity Studies (37 papers), Visual perception and processing mechanisms (15 papers), Neural and Behavioral Psychology Studies (13 papers), Blind Source Separation Techniques (10 papers), Advanced MRI Techniques and Applications (8 papers) and Parallel Computing and Optimization Techniques (7 papers). The work is most often cited by research in Cognitive Neuroscience (5.8k citations), Structural Biology (288 citations) and Cellular and Molecular Neuroscience (1.1k citations). Ramesh Srinivasan has collaborated with scholars based in United States, Singapore and Australia. Frequent co-authors include Paul L. Nunez, Richard B. Silberstein, Don M. Tucker, Peter J. Cadusch, Ranjith S. Wijesinghe, Andrew F. Westdorp, Jian Ding, W. Winter, Ahmed H. Zewail and Vladimir A. Lobastov. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.
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.