Venkatagiri Krishnamurthy
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies 18
- Neural dynamics and brain function 6
- EEG and Brain-Computer Interfaces 5
- Neurobiology of Language and Bilingualism 4
- Neurology top 10%
- Transcranial Magnetic Stimulation Studies 8
- Surfaces, Coatings and Films top 10%
- Rehabilitation top 10%
-
- Advanced MRI Techniques and Applications 12
- Advanced Neuroimaging Techniques and Applications 9
-
- Fibromyalgia and Chronic Fatigue Syndrome Research 3
- Co-authors
- Kaundinya GopinathIhab KamelBruce CrossonLisa C. KrishnamurthyYen WeiKeith McGregorC. R. HelmsJoe R. Nocera
- Journals
- SHILAP Revista de lepidopterología (1 paper)Applied Physics Letters (1 paper)Journal of Applied Physics (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Venkatagiri Krishnamurthy
41 papers receiving 601 citations
Peers
Comparison fields: 5 of 103
- Cognitive Neuroscience 263
- Computational Mathematics 5
- Neurology 69
- Surfaces, Coatings and Films 51
- Rehabilitation 37
Countries citing papers authored by Venkatagiri Krishnamurthy
This map shows the geographic impact of Venkatagiri Krishnamurthy'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 Venkatagiri Krishnamurthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Venkatagiri Krishnamurthy more than expected).
Fields of papers citing papers by Venkatagiri Krishnamurthy
This network shows the impact of papers produced by Venkatagiri Krishnamurthy. 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 Venkatagiri Krishnamurthy. The network helps show where Venkatagiri Krishnamurthy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Venkatagiri Krishnamurthy, 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 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 11 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 5 | |
| 11 | 2020 | 7 | |
| 12 | 2019 | 8 | |
| 13 | 2018 | 10 | |
| 14 | 2018 | 16 | |
| 15 | 2017 | 15 | |
| 16 | 2017 | 8 | |
| 17 | 2015 | 77 | |
| 18 | 2015 | 46 | |
| 19 | 2015 | 31 | |
| 20 | 2008 | 12 |
About Venkatagiri Krishnamurthy
Venkatagiri Krishnamurthy is a scholar working on Computational Mathematics, Neurology and Cognitive Neuroscience, having authored 45 papers that have together received 608 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (18 papers), Advanced MRI Techniques and Applications (12 papers), Advanced Neuroimaging Techniques and Applications (9 papers), Transcranial Magnetic Stimulation Studies (8 papers), Neural dynamics and brain function (6 papers), EEG and Brain-Computer Interfaces (5 papers), Neurobiology of Language and Bilingualism (4 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers). The work is most often cited by research in Cognitive Neuroscience (263 citations), Computational Mathematics (5 citations) and Neurology (69 citations). Venkatagiri Krishnamurthy has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Kaundinya Gopinath, Ihab Kamel, Bruce Crosson, Lisa C. Krishnamurthy, Yen Wei, Keith McGregor, C. R. Helms, Joe R. Nocera, Lawrence W. Barsalou and Amy D. Rodriguez. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.
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.