Nagarajan Ganapathy
- Cognitive Neuroscience top 10%
- Experimental and Cognitive Psychology top 5%
- Biomedical Engineering
- Cardiology and Cardiovascular Medicine
- Artificial Intelligence
- Co-authors
- Ramakrishnan SwaminathanThomas M. DesernoHimanshu KumarJac Fredo Agastinose RonickomNicolai SpicherJoana M. WarneckeSteffen LeonhardtJu Wang
- Topics
- EEG and Brain-Computer Interfaces (28 papers)Emotion and Mood Recognition (24 papers)ECG Monitoring and Analysis (13 papers)
- Cited by
- Experimental and Cognitive PsychologyCognitive NeuroscienceCardiology and Cardiovascular Medicine
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEExpert Systems with Applications
In The Last Decade
Nagarajan Ganapathy
48 papers receiving 475 citations
Peers
Comparison fields: 5 of 106
- Cognitive Neuroscience 177
- Experimental and Cognitive Psychology 168
- Biomedical Engineering 152
- Cardiology and Cardiovascular Medicine 123
- Artificial Intelligence 55
Countries citing papers authored by Nagarajan Ganapathy
This map shows the geographic impact of Nagarajan Ganapathy'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 Nagarajan Ganapathy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nagarajan Ganapathy more than expected).
Fields of papers citing papers by Nagarajan Ganapathy
This network shows the impact of papers produced by Nagarajan Ganapathy. 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 Nagarajan Ganapathy. The network helps show where Nagarajan Ganapathy may publish in the future.
Co-authorship network of co-authors of Nagarajan Ganapathy
This figure shows the co-authorship network connecting the top 25 collaborators of Nagarajan Ganapathy. A scholar is included among the top collaborators of Nagarajan Ganapathy 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 Nagarajan Ganapathy. Nagarajan Ganapathy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 11 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 10 | |
| 12 | 8 | |
| 13 | 8 | |
| 14 | 2 | |
| 15 | 8 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 2 |
About Nagarajan Ganapathy
Nagarajan Ganapathy is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine, having authored 62 papers that have together received 488 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (28 papers), Emotion and Mood Recognition (24 papers) and ECG Monitoring and Analysis (13 papers). The work is most often cited by research in Experimental and Cognitive Psychology (168 citations), Cognitive Neuroscience (177 citations) and Cardiology and Cardiovascular Medicine (123 citations). Nagarajan Ganapathy has collaborated with scholars based in India, Germany and Australia. Frequent co-authors include Ramakrishnan Swaminathan, Thomas M. Deserno, Himanshu Kumar, Jac Fredo Agastinose Ronickom, Nicolai Spicher, Joana M. Warnecke, Steffen Leonhardt, Ju Wang, Sushmee Badhulika and Subha D. Puthankattil. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.
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.