Prasanth Prasanna
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
-
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Radiation Dose and Imaging
- Radiology practices and education
Papers in
-
- Medical Imaging Techniques and Applications 5
- Radiomics and Machine Learning in Medical Imaging 4
- COVID-19 diagnosis using AI 4
- Cardiac Imaging and Diagnostics 2
- Radiology practices and education 2
-
- Advanced X-ray and CT Imaging 5
- Co-authors
- Tanveer Syeda-Mahmood (7 shared papers)Mehdi Moradi (4 shared papers)Hongzhi Wang (1 shared paper)Yu Cao (1 shared paper)Eliot L. Siegel (1 shared paper)F. Jacob Seagull (1 shared paper)Paul Nagy (1 shared paper)Hongzhi Wang (4 shared papers)
- Journals
- Journal of Digital Imaging (3 papers)Patterns (2 papers)Computerized Medical Imaging and Graphics (1 paper)Radiographics (1 paper)Journal of the American College of Radiology (1 paper)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Prasanth Prasanna
15 papers receiving 235 citations
Peers
Comparison fields: 5 of 60
- Health Informatics 50
- Radiology, Nuclear Medicine and Imaging 140
- Oral Surgery 13
- Health 15
- Health, Toxicology and Mutagenesis 20
Countries citing papers authored by Prasanth Prasanna
This map shows the geographic impact of Prasanth Prasanna'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 Prasanth Prasanna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prasanth Prasanna more than expected).
Fields of papers citing papers by Prasanth Prasanna
This network shows the impact of papers produced by Prasanth Prasanna. 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 Prasanth Prasanna. The network helps show where Prasanth Prasanna may publish in the future.
Co-authors
The 25 scholars most cited alongside Prasanth Prasanna, 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 | 2015 | 55 | |
| 2 | 2021 | 39 | |
| 3 | 2019 | 36 | |
| 4 | 2011 | 31 | |
| 5 | 2011 | 18 | |
| 6 | 2016 | 12 | |
| 7 | 2010 | 12 | |
| 8 | 2021 | 11 | |
| 9 | 2018 | 10 | |
| 10 | 2015 | 6 | |
| 11 | 2021 | 4 | |
| 12 | 2018 | 4 | |
| 13 | 2018 | 2 | |
| 14 | 2017 | 2 | |
| 15 | 2017 | 1 |
About Prasanth Prasanna
Prasanth Prasanna is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Computer Vision and Pattern Recognition, Surgery and Health, having authored 15 papers that have together received 243 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (5 papers), Medical Image Segmentation Techniques (5 papers), Medical Imaging Techniques and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), COVID-19 diagnosis using AI (4 papers), Cardiac Imaging and Diagnostics (2 papers), Radiology practices and education (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Health Informatics (50 citations), Radiology, Nuclear Medicine and Imaging (140 citations), Oral Surgery (13 citations), Health (15 citations) and Health, Toxicology and Mutagenesis (20 citations). Prasanth Prasanna has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Tanveer Syeda-Mahmood, Mehdi Moradi, Hongzhi Wang, Yu Cao, Eliot L. Siegel, F. Jacob Seagull, Paul Nagy, Hongzhi Wang, Jannis Born and Matteo Manica. Their work appears in journals such as Journal of Digital Imaging, Patterns, Computerized Medical Imaging and Graphics, Radiographics and Journal of the American College of Radiology.
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.