Gowtham Krishnan Murugesan
- Radiology, Nuclear Medicine and Imaging top 10%
- Neurology top 10%
- Genetics top 10%
- Computer Vision and Pattern Recognition top 10%
- Cognitive Neuroscience
- Co-authors
- Joseph A. MaldjianChandan Ganesh Bangalore YoganandaAnanth J. MadhuranthakamSahil NalawadeMarco C. PinhoBaowei FeiBenjamin WagnerBhavya Shah
- Topics
- Functional Brain Connectivity Studies (6 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)Neural dynamics and brain function (3 papers)
- Partner nations
- United StatesNorway
In The Last Decade
Gowtham Krishnan Murugesan
17 papers receiving 303 citations
Peers
Comparison fields: 5 of 54
- Radiology, Nuclear Medicine and Imaging 173
- Neurology 98
- Genetics 92
- Computer Vision and Pattern Recognition 68
- Cognitive Neuroscience 60
Countries citing papers authored by Gowtham Krishnan Murugesan
This map shows the geographic impact of Gowtham Krishnan Murugesan'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 Gowtham Krishnan Murugesan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gowtham Krishnan Murugesan more than expected).
Fields of papers citing papers by Gowtham Krishnan Murugesan
This network shows the impact of papers produced by Gowtham Krishnan Murugesan. 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 Gowtham Krishnan Murugesan. The network helps show where Gowtham Krishnan Murugesan may publish in the future.
Co-authorship network of co-authors of Gowtham Krishnan Murugesan
This figure shows the co-authorship network connecting the top 25 collaborators of Gowtham Krishnan Murugesan. A scholar is included among the top collaborators of Gowtham Krishnan Murugesan 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 Gowtham Krishnan Murugesan. Gowtham Krishnan Murugesan 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 | 2 | |
| 3 | 2 | |
| 4 | 73 | |
| 5 | 19 | |
| 6 | 34 | |
| 7 | 6 | |
| 8 | 60 | |
| 9 | 13 | |
| 10 | 25 | |
| 11 | 7 | |
| 12 | 6 | |
| 13 | 2 | |
| 14 | 15 | |
| 15 | 18 | |
| 16 | 15 | |
| 17 | An Economic Allocation of Resources for Divisible Workloads in Grid Computing Paradigm | 1 |
| 18 | 7 |
About Gowtham Krishnan Murugesan
Gowtham Krishnan Murugesan is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Cognitive Neuroscience, having authored 18 papers that have together received 305 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Neurology (98 citations), Genetics (92 citations) and Radiology, Nuclear Medicine and Imaging (173 citations). Gowtham Krishnan Murugesan has collaborated with scholars based in United States and Norway. Frequent co-authors include Joseph A. Maldjian, Chandan Ganesh Bangalore Yogananda, Ananth J. Madhuranthakam, Sahil Nalawade, Marco C. Pinho, Baowei Fei, Benjamin Wagner, Bhavya Shah, Elizabeth M. Davenport and Bruce Mickey. Their work appears in journals such as NeuroImage, American Journal of Neuroradiology and Australian & New Zealand Journal of Psychiatry.
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.