Vidya Sankar Viswanathan
- Radiology, Nuclear Medicine and Imaging top 10%
- Oncology
- Pulmonary and Respiratory Medicine
- Artificial Intelligence
- Health Informatics top 5%
- Co-authors
- Anant MadabhushiGermán CorredorPaula ToroPingfu FuSanjay MukhopadhyayAmit GuptaKaustav BeraMohammadhadi Khorrami
- Topics
- Radiomics and Machine Learning in Medical Imaging (27 papers)Lung Cancer Diagnosis and Treatment (11 papers)AI in cancer detection (8 papers)
- Partner nations
- United StatesSwitzerlandIndia
In The Last Decade
Vidya Sankar Viswanathan
33 papers receiving 304 citations
Peers
Comparison fields: 5 of 54
- Radiology, Nuclear Medicine and Imaging 179
- Oncology 101
- Pulmonary and Respiratory Medicine 93
- Artificial Intelligence 91
- Health Informatics 37
Countries citing papers authored by Vidya Sankar Viswanathan
This map shows the geographic impact of Vidya Sankar Viswanathan'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 Vidya Sankar Viswanathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vidya Sankar Viswanathan more than expected).
Fields of papers citing papers by Vidya Sankar Viswanathan
This network shows the impact of papers produced by Vidya Sankar Viswanathan. 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 Vidya Sankar Viswanathan. The network helps show where Vidya Sankar Viswanathan may publish in the future.
Co-authorship network of co-authors of Vidya Sankar Viswanathan
This figure shows the co-authorship network connecting the top 25 collaborators of Vidya Sankar Viswanathan. A scholar is included among the top collaborators of Vidya Sankar Viswanathan 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 Vidya Sankar Viswanathan. Vidya Sankar Viswanathan 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 | 2 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 16 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 14 | |
| 14 | 9 | |
| 15 | 0 | |
| 16 | 4 | |
| 17 | 7 | |
| 18 | 48 | |
| 19 | 21 | |
| 20 | Prevention of no flow/slow reflow phenomenon in primary PCI by Nicorandil. | 8 |
About Vidya Sankar Viswanathan
Vidya Sankar Viswanathan is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Otorhinolaryngology, having authored 39 papers that have together received 307 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (27 papers), Lung Cancer Diagnosis and Treatment (11 papers) and AI in cancer detection (8 papers). The work is most often cited by research in Health Informatics (37 citations), Radiology, Nuclear Medicine and Imaging (179 citations) and Oncology (101 citations). Vidya Sankar Viswanathan has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Anant Madabhushi, Germán Corredor, Paula Toro, Pingfu Fu, Sanjay Mukhopadhyay, Amit Gupta, Kaustav Bera, Mohammadhadi Khorrami, Pradnya D. Patil and Priya Velu. Their work appears in journals such as Journal of Clinical Oncology, Blood and Cancer Research.
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.