Mukesh Kumar Tripathi
Impact in
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses
-
- Smart Agriculture and AI
- Leaf Properties and Growth Measurement
Papers in
-
- Spectroscopy and Chemometric Analyses 11
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- Smart Agriculture and AI 9
- Co-authors
- Shylesha V. Channapattana (1 shared paper)Srinidhi Campli (1 shared paper)Pravin Futane (1 shared paper)Vijayashree Murthy (1 shared paper)Chellapilla V. K. N. S. N. Moorthy (2 shared papers)Raghavendra Kune (1 shared paper)Janjhyam Venkata Naga Ramesh (1 shared paper)K. Ram Mohan Rao (1 shared paper)
- Journals
- Multimedia Tools and Applications (2 papers)Network Computation in Neural Systems (2 papers)The Imaging Science Journal (1 paper)Energy (1 paper)Information Processing in Agriculture (1 paper)
- Partner nations
- IndiaUnited Kingdom
In The Last Decade
Mukesh Kumar Tripathi
22 papers receiving 258 citations
Peers
Comparison fields: 5 of 72
- Analytical Chemistry 88
- Plant Science 155
- Health Information Management 13
- Fluid Flow and Transfer Processes 17
- Industrial and Manufacturing Engineering 23
Countries citing papers authored by Mukesh Kumar Tripathi
This map shows the geographic impact of Mukesh Kumar Tripathi'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 Mukesh Kumar Tripathi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mukesh Kumar Tripathi more than expected).
Fields of papers citing papers by Mukesh Kumar Tripathi
This network shows the impact of papers produced by Mukesh Kumar Tripathi. 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 Mukesh Kumar Tripathi. The network helps show where Mukesh Kumar Tripathi may publish in the future.
Co-authors
The 9 scholars most cited alongside Mukesh Kumar Tripathi, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 112 | |
| 2 | 2016 | 45 | |
| 3 | 2023 | 41 | |
| 4 | 2024 | 23 | |
| 5 | 2021 | 19 | |
| 6 | 2022 | 12 | |
| 7 | 2023 | 10 | |
| 8 | 2023 | 7 | |
| 9 | 2021 | 7 | |
| 10 | 2024 | 6 | |
| 11 | 2021 | 6 | |
| 12 | 2025 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2024 | 1 |
About Mukesh Kumar Tripathi
Mukesh Kumar Tripathi is a scholar working on Analytical Chemistry, Plant Science, Biomedical Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 28 papers that have together received 304 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (11 papers), Smart Agriculture and AI (9 papers), Advanced Chemical Sensor Technologies (6 papers), Mental Health via Writing (2 papers), Infrastructure Maintenance and Monitoring (2 papers), Remote Sensing and Land Use (2 papers), Remote-Sensing Image Classification (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Analytical Chemistry (88 citations), Plant Science (155 citations), Health Information Management (13 citations), Fluid Flow and Transfer Processes (17 citations) and Industrial and Manufacturing Engineering (23 citations). Mukesh Kumar Tripathi has collaborated with scholars based in India and United Kingdom. Frequent co-authors include Shylesha V. Channapattana, Srinidhi Campli, Pravin Futane, Vijayashree Murthy, Chellapilla V. K. N. S. N. Moorthy, Raghavendra Kune, Janjhyam Venkata Naga Ramesh, K. Ram Mohan Rao and K Sangeetha. Their work appears in journals such as Multimedia Tools and Applications, Network Computation in Neural Systems, The Imaging Science Journal, Energy and Information Processing 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.