V. Dhilip Kumar
Impact in
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- Artificial Intelligence in Healthcare
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses
Papers in
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- Context-Aware Activity Recognition Systems 3
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- IoT and Edge/Fog Computing 3
- Co-authors
- Oana Geman (11 shared papers)J. Arun Pandian (3 shared papers)T R Mahesh (5 shared papers)V. Vinoth Kumar (5 shared papers)Junaid Asghar (3 shared papers)Muhammad Arif (1 shared paper)Mihaela Hnatiuc (1 shared paper)G. Arulkumaran (2 shared papers)
In The Last Decade
V. Dhilip Kumar
34 papers receiving 502 citations
V. Dhilip Kumar's Hit Papers
Peers
Comparison fields: 5 of 98
- Health Information Management 67
- Analytical Chemistry 65
- Plant Science 175
- Health Informatics 6
- Artificial Intelligence 122
Countries citing papers authored by V. Dhilip Kumar
This map shows the geographic impact of V. Dhilip Kumar'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 V. Dhilip Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Dhilip Kumar more than expected).
Fields of papers citing papers by V. Dhilip Kumar
This network shows the impact of papers produced by V. Dhilip Kumar. 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 V. Dhilip Kumar. The network helps show where V. Dhilip Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside V. Dhilip Kumar, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Plant Disease Detection Using Deep Convolutional Neural Network Hit paper breakdown → | 2022 | 109 |
| 2 | 2022 | 64 | |
| 3 | 2022 | 61 | |
| 4 | 2022 | 51 | |
| 5 | 2023 | 51 | |
| 6 | 2022 | 40 | |
| 7 | 2022 | 26 | |
| 8 | 2022 | 15 | |
| 9 | 2023 | 12 | |
| 10 | 2020 | 12 | |
| 11 | 2024 | 11 | |
| 12 | 2021 | 9 | |
| 13 | 2024 | 7 | |
| 14 | 2022 | 7 | |
| 15 | 2018 | 6 | |
| 16 | 2016 | 6 | |
| 17 | 2023 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2016 | 4 |
About V. Dhilip Kumar
V. Dhilip Kumar is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Electrical and Electronic Engineering, Biomedical Engineering and Artificial Intelligence, having authored 36 papers that have together received 539 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (5 papers), Vehicular Ad Hoc Networks (VANETs) (5 papers), Wireless Body Area Networks (4 papers), COVID-19 diagnosis using AI (3 papers), Advanced Wireless Network Optimization (3 papers), IoT and Edge/Fog Computing (3 papers), Context-Aware Activity Recognition Systems (3 papers) and Imbalanced Data Classification Techniques (3 papers). The work is most often cited by research in Health Information Management (67 citations), Analytical Chemistry (65 citations), Plant Science (175 citations), Health Informatics (6 citations) and Artificial Intelligence (122 citations). V. Dhilip Kumar has collaborated with scholars based in India, Romania and Pakistan. Frequent co-authors include Oana Geman, J. Arun Pandian, T R Mahesh, V. Vinoth Kumar, Junaid Asghar, Muhammad Arif, Mihaela Hnatiuc, G. Arulkumaran, Elżbieta Jasińska and Radomír Goňo. Their work appears in journals such as Sensors, Microsystem Technologies, Computational Intelligence and Neuroscience, Applied Sciences and Journal of Ambient Intelligence and Humanized Computing.
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.