Bardia Khosravi
- Radiology, Nuclear Medicine and Imaging top 5%
- Health Informatics top 0.5%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Surgery
- Co-authors
- Bradley J. EricksonPouria RouzrokhShahriar FaghaniMana MoassefiCody C. WylesYashbir SinghMichael J. TauntonDiana V. Vera-Garcia
- Topics
- Radiomics and Machine Learning in Medical Imaging (21 papers)Artificial Intelligence in Healthcare and Education (15 papers)Advanced X-ray and CT Imaging (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaBloodGastroenterology
- Partner nations
- United StatesIranCanada
In The Last Decade
Bardia Khosravi
53 papers receiving 735 citations
Peers
Comparison fields: 5 of 112
- Radiology, Nuclear Medicine and Imaging 362
- Health Informatics 238
- Biomedical Engineering 166
- Artificial Intelligence 164
- Surgery 150
Countries citing papers authored by Bardia Khosravi
This map shows the geographic impact of Bardia Khosravi'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 Bardia Khosravi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bardia Khosravi more than expected).
Fields of papers citing papers by Bardia Khosravi
This network shows the impact of papers produced by Bardia Khosravi. 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 Bardia Khosravi. The network helps show where Bardia Khosravi may publish in the future.
Co-authorship network of co-authors of Bardia Khosravi
This figure shows the co-authorship network connecting the top 25 collaborators of Bardia Khosravi. A scholar is included among the top collaborators of Bardia Khosravi 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 Bardia Khosravi. Bardia Khosravi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 13 | |
| 10 | 16 | |
| 11 | 11 | |
| 12 | 31 | |
| 13 | 12 | |
| 14 | 11 | |
| 15 | 12 | |
| 16 | 81 | |
| 17 | 9 | |
| 18 | 4 | |
| 19 | 22 | |
| 20 | 63 |
About Bardia Khosravi
Bardia Khosravi is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Family Practice, having authored 57 papers that have together received 746 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (21 papers), Artificial Intelligence in Healthcare and Education (15 papers) and Advanced X-ray and CT Imaging (10 papers). The work is most often cited by research in Health Informatics (238 citations), Radiology, Nuclear Medicine and Imaging (362 citations) and Artificial Intelligence (164 citations). Bardia Khosravi has collaborated with scholars based in United States, Iran and Canada. Frequent co-authors include Bradley J. Erickson, Pouria Rouzrokh, Shahriar Faghani, Mana Moassefi, Cody C. Wyles, Yashbir Singh, Michael J. Taunton, Diana V. Vera-Garcia, Gian Marco Conte and Fred Nugen. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Gastroenterology.
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.