Amiya Kumar Tripathy
Impact in
- Human-Computer Interaction top 10%
- Gaze Tracking and Assistive Technology
- Plant Science top 10%
- Smart Agriculture and AI
Papers in
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- AI in cancer detection 6
- Text and Document Classification Technologies 5
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- Web Data Mining and Analysis 5
- Data Mining Algorithms and Applications 4
- Co-authors
- Leisa Armstrong (12 shared papers)Niketa Gandhi (1 shared paper)U.B. Desai (4 shared papers)S. N. Merchant (4 shared papers)T. M. Shahriar Sazzad (6 shared papers)S. Ninomiya (4 shared papers)Takuji Kiura (4 shared papers)Masayuki Hirafuji (4 shared papers)
In The Last Decade
Amiya Kumar Tripathy
69 papers receiving 525 citations
Peers
Comparison fields: 5 of 98
- Human-Computer Interaction 37
- Plant Science 221
- Health Information Management 24
- Analytical Chemistry 49
- Artificial Intelligence 158
Countries citing papers authored by Amiya Kumar Tripathy
This map shows the geographic impact of Amiya Kumar Tripathy'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 Amiya Kumar Tripathy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amiya Kumar Tripathy more than expected).
Fields of papers citing papers by Amiya Kumar Tripathy
This network shows the impact of papers produced by Amiya Kumar Tripathy. 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 Amiya Kumar Tripathy. The network helps show where Amiya Kumar Tripathy may publish in the future.
Co-authors
The 25 scholars most cited alongside Amiya Kumar Tripathy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 139 | |
| 2 | 2011 | 48 | |
| 3 | 2015 | 39 | |
| 4 | 2017 | 35 | |
| 5 | 2012 | 24 | |
| 6 | 2014 | 23 | |
| 7 | 2021 | 19 | |
| 8 | 2015 | 16 | |
| 9 | 2013 | 16 | |
| 10 | 2015 | 14 | |
| 11 | 2018 | 11 | |
| 12 | 2012 | 10 | |
| 13 | 2016 | 10 | |
| 14 | 2019 | 9 | |
| 15 | 2015 | 8 | |
| 16 | Data Mining and Wireless Sensor Network for Groundnut Pest Thrips Dynamics and Predictions | 2012 | 8 |
| 17 | 2015 | 6 | |
| 18 | 2012 | 6 | |
| 19 | 2015 | 6 | |
| 20 | 2018 | 5 |
About Amiya Kumar Tripathy
Amiya Kumar Tripathy is a scholar working on Artificial Intelligence, Information Systems, Plant Science, Computer Vision and Pattern Recognition and Signal Processing, having authored 84 papers that have together received 604 indexed citations. Recurring topics across this work include Smart Agriculture and AI (13 papers), Cell Image Analysis Techniques (6 papers), AI in cancer detection (6 papers), Text and Document Classification Technologies (5 papers), Web Data Mining and Analysis (5 papers), Spectroscopy and Chemometric Analyses (4 papers), EEG and Brain-Computer Interfaces (4 papers) and Data Mining Algorithms and Applications (4 papers). The work is most often cited by research in Human-Computer Interaction (37 citations), Plant Science (221 citations), Health Information Management (24 citations), Analytical Chemistry (49 citations) and Artificial Intelligence (158 citations). Amiya Kumar Tripathy has collaborated with scholars based in India, Australia and Japan. Frequent co-authors include Leisa Armstrong, Niketa Gandhi, U.B. Desai, S. N. Merchant, T. M. Shahriar Sazzad, S. Ninomiya, Takuji Kiura, Masayuki Hirafuji, K. Vijayalakshmi and Srikanth Vemuru. Their work appears in journals such as Australasian Journal of Paramedicine, International Journal of Environmental Science and Technology, Journal of Ambient Intelligence and Humanized Computing, Applied Computing and Informatics 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.