Arcot Sowmya
- Computer Vision and Pattern Recognition top 0.5%
- Media Technology top 0.5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 2%
- Biomedical Engineering
- Co-authors
- Miao YangChangming SunGuoqing WangRuth OliverS. RameshTomasz BednarzJohn TrinderVijay D’Silva
- Topics
- Embedded Systems Design Techniques (24 papers)Formal Methods in Verification (24 papers)Radiomics and Machine Learning in Medical Imaging (23 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
In The Last Decade
Arcot Sowmya
215 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Computer Vision and Pattern Recognition 1.7k
- Media Technology 673
- Radiology, Nuclear Medicine and Imaging 486
- Artificial Intelligence 481
- Biomedical Engineering 204
Countries citing papers authored by Arcot Sowmya
This map shows the geographic impact of Arcot Sowmya'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 Arcot Sowmya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arcot Sowmya more than expected).
Fields of papers citing papers by Arcot Sowmya
This network shows the impact of papers produced by Arcot Sowmya. 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 Arcot Sowmya. The network helps show where Arcot Sowmya may publish in the future.
Co-authorship network of co-authors of Arcot Sowmya
This figure shows the co-authorship network connecting the top 25 collaborators of Arcot Sowmya. A scholar is included among the top collaborators of Arcot Sowmya 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 Arcot Sowmya. Arcot Sowmya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 15 | |
| 9 | 9 | |
| 10 | 7 | |
| 11 | 9 | |
| 12 | 31 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 0 | |
| 16 | 5 | |
| 17 | 28 | |
| 18 | Distributed computer control systems 2000 (DCCS 2000) : a proceedings volume from the 16th IFAC Workshop, Sydney, Australia, 29 November - 1 December 2000 | 1 |
| 19 | Integrated Techniques for Self-Organisation, Sampling, Habituation, and Motion-Tracking in Visual Robotics Applications. | 1 |
| 20 | GENERATING SYMBOLIC DESCRIPTIONS OF TWO-DIMENSIONAL BLOCKS WORLD | 4 |
About Arcot Sowmya
Arcot Sowmya is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Media Technology, having authored 235 papers that have together received 3.3k indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (24 papers), Formal Methods in Verification (24 papers) and Radiomics and Machine Learning in Medical Imaging (23 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.7k citations), Media Technology (673 citations) and Health Informatics (40 citations). Arcot Sowmya has collaborated with scholars based in Australia, India and China. Frequent co-authors include Miao Yang, Changming Sun, Guoqing Wang, Ruth Oliver, S. Ramesh, Tomasz Bednarz, John Trinder, Vijay D’Silva, Gihan Samarasinghe and Erik Meijering. Their work appears in journals such as SHILAP Revista de lepidopterología, 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.