Dhakshin Ramanathan
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 5%
- Neurology top 5%
- Experimental and Cognitive Psychology top 5%
- Biomedical Engineering
- Co-authors
- Karunesh GangulyTanuj GulatiJ. M. ConnerMark H. TuszynskiJyoti MishraLing GuoSeok Joon WonGillian Grennan
- Topics
- Neural dynamics and brain function (20 papers)Functional Brain Connectivity Studies (18 papers)EEG and Brain-Computer Interfaces (15 papers)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Dhakshin Ramanathan
51 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 104
- Cognitive Neuroscience 939
- Cellular and Molecular Neuroscience 487
- Neurology 208
- Experimental and Cognitive Psychology 172
- Biomedical Engineering 99
Countries citing papers authored by Dhakshin Ramanathan
This map shows the geographic impact of Dhakshin Ramanathan'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 Dhakshin Ramanathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dhakshin Ramanathan more than expected).
Fields of papers citing papers by Dhakshin Ramanathan
This network shows the impact of papers produced by Dhakshin Ramanathan. 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 Dhakshin Ramanathan. The network helps show where Dhakshin Ramanathan may publish in the future.
Co-authorship network of co-authors of Dhakshin Ramanathan
This figure shows the co-authorship network connecting the top 25 collaborators of Dhakshin Ramanathan. A scholar is included among the top collaborators of Dhakshin Ramanathan 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 Dhakshin Ramanathan. Dhakshin Ramanathan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 8 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 23 | |
| 13 | 12 | |
| 14 | 7 | |
| 15 | 14 | |
| 16 | 33 | |
| 17 | 21 | |
| 18 | 12 | |
| 19 | 40 | |
| 20 | 47 |
About Dhakshin Ramanathan
Dhakshin Ramanathan is a scholar working on Cognitive Neuroscience, Biological Psychiatry and Cellular and Molecular Neuroscience, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (20 papers), Functional Brain Connectivity Studies (18 papers) and EEG and Brain-Computer Interfaces (15 papers). The work is most often cited by research in Cognitive Neuroscience (939 citations), Cellular and Molecular Neuroscience (487 citations) and Neurology (208 citations). Dhakshin Ramanathan has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Karunesh Ganguly, Tanuj Gulati, J. M. Conner, Mark H. Tuszynski, Jyoti Mishra, Ling Guo, Seok Joon Won, Gillian Grennan, Raymond A. Swanson and Pragathi Priyadharsini Balasubramani. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine 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.