Rakesh Shiradkar
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 5%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Oncology
- Co-authors
- Anant MadabhushiAndrei S. PuryskoIvan JamborSoumya GhoseLee PonskyAhmad AlgoharyPekka TaimenOtto Ettala
- Topics
- Radiomics and Machine Learning in Medical Imaging (32 papers)Prostate Cancer Diagnosis and Treatment (23 papers)Prostate Cancer Treatment and Research (15 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Partner nations
- United StatesFinlandAustralia
In The Last Decade
Rakesh Shiradkar
33 papers receiving 718 citations
Peers
Comparison fields: 5 of 59
- Radiology, Nuclear Medicine and Imaging 604
- Pulmonary and Respiratory Medicine 407
- Artificial Intelligence 142
- Biomedical Engineering 121
- Oncology 68
Countries citing papers authored by Rakesh Shiradkar
This map shows the geographic impact of Rakesh Shiradkar'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 Rakesh Shiradkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rakesh Shiradkar more than expected).
Fields of papers citing papers by Rakesh Shiradkar
This network shows the impact of papers produced by Rakesh Shiradkar. 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 Rakesh Shiradkar. The network helps show where Rakesh Shiradkar may publish in the future.
Co-authorship network of co-authors of Rakesh Shiradkar
This figure shows the co-authorship network connecting the top 25 collaborators of Rakesh Shiradkar. A scholar is included among the top collaborators of Rakesh Shiradkar 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 Rakesh Shiradkar. Rakesh Shiradkar 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 | 8 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 37 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 9 | |
| 11 | 14 | |
| 12 | 75 | |
| 13 | 1 | |
| 14 | 32 | |
| 15 | 22 | |
| 16 | 44 | |
| 17 | 2 | |
| 18 | 9 | |
| 19 | 73 | |
| 20 | 3 |
About Rakesh Shiradkar
Rakesh Shiradkar is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Health Informatics, having authored 38 papers that have together received 720 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (32 papers), Prostate Cancer Diagnosis and Treatment (23 papers) and Prostate Cancer Treatment and Research (15 papers). The work is most often cited by research in Health Informatics (61 citations), Radiology, Nuclear Medicine and Imaging (604 citations) and Pulmonary and Respiratory Medicine (407 citations). Rakesh Shiradkar has collaborated with scholars based in United States, Finland and Australia. Frequent co-authors include Anant Madabhushi, Andrei S. Purysko, Ivan Jambor, Soumya Ghose, Lee Ponsky, Ahmad Algohary, Pekka Taimen, Otto Ettala, Amr Mahran and Satish E. Viswanath. Their work appears in journals such as Circulation, Journal of Clinical Oncology and Scientific Reports.
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.