Karthik V. Sarma
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Co-authors
- Corey ArnoldKing Chung HoBeatrice S. KnudsenArkadiusz GertychJiayun LiWilliam SpeierWenyuan LiSteven S. Raman
- Topics
- AI in cancer detection (6 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)Medical Imaging and Analysis (4 papers)
- Partner nations
- United StatesCanada
In The Last Decade
Karthik V. Sarma
16 papers receiving 432 citations
Peers
Comparison fields: 5 of 89
- Artificial Intelligence 242
- Radiology, Nuclear Medicine and Imaging 186
- Pulmonary and Respiratory Medicine 93
- Computer Vision and Pattern Recognition 80
- Biomedical Engineering 58
Countries citing papers authored by Karthik V. Sarma
This map shows the geographic impact of Karthik V. Sarma'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 Karthik V. Sarma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karthik V. Sarma more than expected).
Fields of papers citing papers by Karthik V. Sarma
This network shows the impact of papers produced by Karthik V. Sarma. 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 Karthik V. Sarma. The network helps show where Karthik V. Sarma may publish in the future.
Co-authorship network of co-authors of Karthik V. Sarma
This figure shows the co-authorship network connecting the top 25 collaborators of Karthik V. Sarma. A scholar is included among the top collaborators of Karthik V. Sarma 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 Karthik V. Sarma. Karthik V. Sarma 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 | 4 | |
| 4 | 0 | |
| 5 | 12 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 27 | |
| 9 | 4 | |
| 10 | 134 | |
| 11 | 41 | |
| 12 | 88 | |
| 13 | A Multi-scale U-Net for Semantic Segmentation of Histological Images from Radical Prostatectomies. | 46 |
| 14 | 15 | |
| 15 | 6 | |
| 16 | 22 | |
| 17 | Data model for personalized patient health guidelines: an exploratory study. | 3 |
| 18 | 33 |
About Karthik V. Sarma
Karthik V. Sarma is a scholar working on Health Informatics, Health Information Management and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 446 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Medical Imaging and Analysis (4 papers). The work is most often cited by research in Health Informatics (41 citations), Radiology, Nuclear Medicine and Imaging (186 citations) and Artificial Intelligence (242 citations). Karthik V. Sarma has collaborated with scholars based in United States and Canada. Frequent co-authors include Corey Arnold, King Chung Ho, Beatrice S. Knudsen, Arkadiusz Gertych, Jiayun Li, William Speier, Wenyuan Li, Steven S. Raman, Shiwen Shen and A. Raman. Their work appears in journals such as PLoS ONE, American Journal of Public Health and The Journal of Urology.
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.