Parthasarathi Mangipudi
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 5%
- Ophthalmology top 2%
- Neurology top 10%
- Artificial Intelligence
- Co-authors
- Malay Kishore DuttaRadim BürgetAnushikha SinghVáclav UherKamil ŘíhaAnu MehraKshitij SrivastavaMonika Arora
- Topics
- Retinal Imaging and Analysis (10 papers)Medical Image Segmentation Techniques (8 papers)Glaucoma and retinal disorders (8 papers)
- Cited by
- OphthalmologyRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaJournal of Food EngineeringComputer Methods and Programs in Biomedicine
In The Last Decade
Parthasarathi Mangipudi
26 papers receiving 483 citations
Peers
Comparison fields: 5 of 71
- Radiology, Nuclear Medicine and Imaging 292
- Computer Vision and Pattern Recognition 249
- Ophthalmology 235
- Neurology 71
- Artificial Intelligence 62
Countries citing papers authored by Parthasarathi Mangipudi
This map shows the geographic impact of Parthasarathi Mangipudi'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 Parthasarathi Mangipudi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parthasarathi Mangipudi more than expected).
Fields of papers citing papers by Parthasarathi Mangipudi
This network shows the impact of papers produced by Parthasarathi Mangipudi. 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 Parthasarathi Mangipudi. The network helps show where Parthasarathi Mangipudi may publish in the future.
Co-authorship network of co-authors of Parthasarathi Mangipudi
This figure shows the co-authorship network connecting the top 25 collaborators of Parthasarathi Mangipudi. A scholar is included among the top collaborators of Parthasarathi Mangipudi 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 Parthasarathi Mangipudi. Parthasarathi Mangipudi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 11 | |
| 3 | 11 | |
| 4 | 10 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 81 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 159 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 10 | |
| 15 | 7 | |
| 16 | 1 | |
| 17 | 13 | |
| 18 | 3 | |
| 19 | 25 | |
| 20 | 12 |
About Parthasarathi Mangipudi
Parthasarathi Mangipudi is a scholar working on Ophthalmology, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 27 papers that have together received 521 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (10 papers), Medical Image Segmentation Techniques (8 papers) and Glaucoma and retinal disorders (8 papers). The work is most often cited by research in Ophthalmology (235 citations), Radiology, Nuclear Medicine and Imaging (292 citations) and Computer Vision and Pattern Recognition (249 citations). Parthasarathi Mangipudi has collaborated with scholars based in India, Czechia and Spain. Frequent co-authors include Malay Kishore Dutta, Radim Bürget, Anushikha Singh, Václav Uher, Kamil Říha, Anu Mehra, Kshitij Srivastava, Monika Arora, Ankur Choudhary and M.A. Ansari. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Food Engineering and Computer Methods and Programs in Biomedicine.
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.