Ravi K. Samala
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Artificial Intelligence top 1%
- Pulmonary and Respiratory Medicine top 5%
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering top 10%
- Co-authors
- Heang‐Ping ChanLubomir M. HadjiiskiH. KennyMark A. HelvieChuan ZhouCaleb RichterJun WeiElaine M. Caoili
- Topics
- AI in cancer detection (36 papers)Radiomics and Machine Learning in Medical Imaging (34 papers)Digital Radiography and Breast Imaging (26 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Transactions on Medical Imaging
- Partner nations
- United StatesChinaBulgaria
In The Last Decade
Ravi K. Samala
76 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Radiology, Nuclear Medicine and Imaging 1.6k
- Artificial Intelligence 1.4k
- Pulmonary and Respiratory Medicine 600
- Computer Vision and Pattern Recognition 382
- Biomedical Engineering 361
Countries citing papers authored by Ravi K. Samala
This map shows the geographic impact of Ravi K. Samala'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 Ravi K. Samala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravi K. Samala more than expected).
Fields of papers citing papers by Ravi K. Samala
This network shows the impact of papers produced by Ravi K. Samala. 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 Ravi K. Samala. The network helps show where Ravi K. Samala may publish in the future.
Co-authorship network of co-authors of Ravi K. Samala
This figure shows the co-authorship network connecting the top 25 collaborators of Ravi K. Samala. A scholar is included among the top collaborators of Ravi K. Samala 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 Ravi K. Samala. Ravi K. Samala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 77 | |
| 5 | 1 | |
| 6 | 16 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 14 | |
| 10 | 2 | |
| 11 | 17 | |
| 12 | 1 | |
| 13 | 13 | |
| 14 | 76 | |
| 15 | 48 | |
| 16 | 156 | |
| 17 | 210 | |
| 18 | 23 | |
| 19 | 28 | |
| 20 | 22 |
About Ravi K. Samala
Ravi K. Samala is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 80 papers that have together received 2.6k indexed citations. Recurring topics across this work include AI in cancer detection (36 papers), Radiomics and Machine Learning in Medical Imaging (34 papers) and Digital Radiography and Breast Imaging (26 papers). The work is most often cited by research in Health Informatics (267 citations), Radiology, Nuclear Medicine and Imaging (1.6k citations) and Artificial Intelligence (1.4k citations). Ravi K. Samala has collaborated with scholars based in United States, China and Bulgaria. Frequent co-authors include Heang‐Ping Chan, Lubomir M. Hadjiiski, H. Kenny, Mark A. Helvie, Chuan Zhou, Caleb Richter, Jun Wei, Elaine M. Caoili, Richard H. Cohan and Yao Lu. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Medical Imaging.
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.