Badri Roysam
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 5%
- Biomedical Engineering
- Molecular Biology
- Neurology top 10%
- Co-authors
- Carol A. BarnesBruce L. McNaughtonPaul WorleyJohn F. GuzowskiJerilyn A. TimlinWilliam ShainChris S. BjornssonYi-Je Lim
- Topics
- Medical Image Segmentation Techniques (3 papers)Cell Image Analysis Techniques (3 papers)Orthopaedic implants and arthroplasty (1 paper)
- Journals
- Current Opinion in NeurobiologyIEEE Transactions on Industry ApplicationsJournal of Neuroscience Methods
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Badri Roysam
13 papers receiving 697 citations
Peers
Comparison fields: 5 of 101
- Cellular and Molecular Neuroscience 416
- Cognitive Neuroscience 290
- Biomedical Engineering 100
- Molecular Biology 93
- Neurology 84
Countries citing papers authored by Badri Roysam
This map shows the geographic impact of Badri Roysam'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 Badri Roysam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Badri Roysam more than expected).
Fields of papers citing papers by Badri Roysam
This network shows the impact of papers produced by Badri Roysam. 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 Badri Roysam. The network helps show where Badri Roysam may publish in the future.
Co-authorship network of co-authors of Badri Roysam
This figure shows the co-authorship network connecting the top 25 collaborators of Badri Roysam. A scholar is included among the top collaborators of Badri Roysam 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 Badri Roysam. Badri Roysam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings | 4 |
| 2 | 63 | |
| 3 | 5 | |
| 4 | 14 | |
| 5 | 13 | |
| 6 | 4 | |
| 7 | 30 | |
| 8 | 250 | |
| 9 | 306 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | Selective cytokine inhibitory drugs with enhanced antiangiogenic activity control tumor growth through vascular inhibition. | 14 |
| 13 | 6 |
About Badri Roysam
Badri Roysam is a scholar working on Biophysics, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 711 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (3 papers), Cell Image Analysis Techniques (3 papers) and Orthopaedic implants and arthroplasty (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (416 citations), Cognitive Neuroscience (290 citations) and Developmental Neuroscience (58 citations). Badri Roysam has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Carol A. Barnes, Bruce L. McNaughton, Paul Worley, John F. Guzowski, Jerilyn A. Timlin, William Shain, Chris S. Bjornsson, Yi-Je Lim, Seung‐June Oh and Suvranu De. Their work appears in journals such as Current Opinion in Neurobiology, IEEE Transactions on Industry Applications and Journal of Neuroscience Methods.
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.