Bahram Parvin
- Molecular Biology
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Oncology top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Hang ChangPaul T. SpellmanMary Helen Barcellos‐HoffAlexander D. BorowskySylvain V. CostesYin ZhouShraddha A. RavaniKenneth E. Barner
- Topics
- AI in cancer detection (21 papers)Cell Image Analysis Techniques (16 papers)Medical Image Segmentation Techniques (14 papers)
- Partner nations
- United StatesChinaNorway
In The Last Decade
Bahram Parvin
81 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 138
- Molecular Biology 586
- Artificial Intelligence 533
- Computer Vision and Pattern Recognition 500
- Oncology 359
- Radiology, Nuclear Medicine and Imaging 346
Countries citing papers authored by Bahram Parvin
This map shows the geographic impact of Bahram Parvin'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 Bahram Parvin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bahram Parvin more than expected).
Fields of papers citing papers by Bahram Parvin
This network shows the impact of papers produced by Bahram Parvin. 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 Bahram Parvin. The network helps show where Bahram Parvin may publish in the future.
Co-authorship network of co-authors of Bahram Parvin
This figure shows the co-authorship network connecting the top 25 collaborators of Bahram Parvin. A scholar is included among the top collaborators of Bahram Parvin 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 Bahram Parvin. Bahram Parvin 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 | 11 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 32 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 17 | |
| 11 | 18 | |
| 12 | 21 | |
| 13 | 152 | |
| 14 | 32 | |
| 15 | 27 | |
| 16 | 31 | |
| 17 | 16 | |
| 18 | Advances in Visual Computing : 5th International Symposium, ISVC 2009, Las Vegas, NV, USA, November 30-December 2, 2009. Proceedings, Part II | 1 |
| 19 | 75 | |
| 20 | Proceedings of the 4th International Symposium on Advances in Visual Computing | 4 |
About Bahram Parvin
Bahram Parvin is a scholar working on Biophysics, Computer Vision and Pattern Recognition and Structural Biology, having authored 84 papers that have together received 1.8k indexed citations. Recurring topics across this work include AI in cancer detection (21 papers), Cell Image Analysis Techniques (16 papers) and Medical Image Segmentation Techniques (14 papers). The work is most often cited by research in Biophysics (228 citations), Computer Vision and Pattern Recognition (500 citations) and Cancer Research (289 citations). Bahram Parvin has collaborated with scholars based in United States, China and Norway. Frequent co-authors include Hang Chang, Paul T. Spellman, Mary Helen Barcellos‐Hoff, Alexander D. Borowsky, Sylvain V. Costes, Yin Zhou, Shraddha A. Ravani, Kenneth E. Barner, Gerald Fontenay and Rosa Anna DeFilippis. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.
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.