Prabira Kumar Sethy
- Plant Science top 2%
- Analytical Chemistry top 0.5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Santi Kumari BeheraAmiya Kumar RathNalini Kanta BarpandaPreesat BiswasSibarama PanigrahiRadha Mohan PattanayakK. VijayakumarAziz Nanthaamornphong
- Topics
- Smart Agriculture and AI (40 papers)Spectroscopy and Chemometric Analyses (34 papers)AI in cancer detection (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessComputers and Electronics in Agriculture
- Partner nations
- IndiaThailandSaudi Arabia
In The Last Decade
Prabira Kumar Sethy
88 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Plant Science 1.1k
- Analytical Chemistry 584
- Radiology, Nuclear Medicine and Imaging 356
- Artificial Intelligence 346
- Computer Vision and Pattern Recognition 214
Countries citing papers authored by Prabira Kumar Sethy
This map shows the geographic impact of Prabira Kumar Sethy'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 Prabira Kumar Sethy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prabira Kumar Sethy more than expected).
Fields of papers citing papers by Prabira Kumar Sethy
This network shows the impact of papers produced by Prabira Kumar Sethy. 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 Prabira Kumar Sethy. The network helps show where Prabira Kumar Sethy may publish in the future.
Co-authorship network of co-authors of Prabira Kumar Sethy
This figure shows the co-authorship network connecting the top 25 collaborators of Prabira Kumar Sethy. A scholar is included among the top collaborators of Prabira Kumar Sethy 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 Prabira Kumar Sethy. Prabira Kumar Sethy 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 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | 3 | |
| 13 | 6 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 13 | |
| 18 | 8 | |
| 19 | 9 | |
| 20 | Quantification of rice chalkiness using image processing | 1 |
About Prabira Kumar Sethy
Prabira Kumar Sethy is a scholar working on Analytical Chemistry, Health Informatics and Plant Science, having authored 105 papers that have together received 1.9k indexed citations. Recurring topics across this work include Smart Agriculture and AI (40 papers), Spectroscopy and Chemometric Analyses (34 papers) and AI in cancer detection (13 papers). The work is most often cited by research in Analytical Chemistry (584 citations), Health Informatics (50 citations) and Plant Science (1.1k citations). Prabira Kumar Sethy has collaborated with scholars based in India, Thailand and Saudi Arabia. Frequent co-authors include Santi Kumari Behera, Amiya Kumar Rath, Nalini Kanta Barpanda, Preesat Biswas, Sibarama Panigrahi, Radha Mohan Pattanayak, K. Vijayakumar, Aziz Nanthaamornphong, Madhabananda Das and Santosh Kumar Sahoo. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Computers and Electronics in Agriculture.
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.