Ashwani Kumar Dubey
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses 13
- Aquatic Science top 5%
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- Industrial Vision Systems and Defect Detection 10
- Plant Science top 10%
- Smart Agriculture and AI 28
- Leaf Properties and Growth Measurement 10
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- Network Time Synchronization Technologies 8
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- Advanced Image Fusion Techniques 5
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- Remote Sensing in Agriculture 5
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- Image and Object Detection Techniques 5
- Co-authors
- Zainul Abdin JafferyMordhwaj S. PariharYogesh YogeshÃlvaro RochaAhteshamul HaqueTaruna HemnaniP. Santhi ThilagamAshish Mathur
- Journals
- IEEE Transactions on Intelligent Transportation Systems (1 paper)International Journal of Electrical Power & Energy Systems (1 paper)IEEE Sensors Journal (5 papers)
- Partner nations
- IndiaUnited Arab EmiratesPortugal
In The Last Decade
Ashwani Kumar Dubey
80 papers receiving 877 citations
Peers
Comparison fields: 5 of 115
- Analytical Chemistry 154
- Aquatic Science 105
- Industrial and Manufacturing Engineering 113
- Plant Science 247
- Health, Toxicology and Mutagenesis 91
Countries citing papers authored by Ashwani Kumar Dubey
This map shows the geographic impact of Ashwani Kumar Dubey'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 Ashwani Kumar Dubey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashwani Kumar Dubey more than expected).
Fields of papers citing papers by Ashwani Kumar Dubey
This network shows the impact of papers produced by Ashwani Kumar Dubey. 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 Ashwani Kumar Dubey. The network helps show where Ashwani Kumar Dubey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ashwani Kumar Dubey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 14 | |
| 10 | 2022 | 13 | |
| 11 | 2022 | 2 | |
| 12 | 2021 | 3 | |
| 13 | 2021 | 9 | |
| 14 | 2020 | 42 | |
| 15 | 2020 | 5 | |
| 16 | 2019 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2018 | 1 | |
| 19 | 2017 | 15 | |
| 20 | 1995 | 65 |
About Ashwani Kumar Dubey
Ashwani Kumar Dubey is a scholar working on Analytical Chemistry, Computer Vision and Pattern Recognition and Media Technology, having authored 91 papers that have together received 934 indexed citations. Recurring topics across this work include Smart Agriculture and AI (28 papers), Spectroscopy and Chemometric Analyses (13 papers), Leaf Properties and Growth Measurement (10 papers), Industrial Vision Systems and Defect Detection (10 papers), Network Time Synchronization Technologies (8 papers), Advanced Image Fusion Techniques (5 papers), Remote Sensing in Agriculture (5 papers) and Image and Object Detection Techniques (5 papers). The work is most often cited by research in Analytical Chemistry (154 citations), Aquatic Science (105 citations) and Industrial and Manufacturing Engineering (113 citations). Ashwani Kumar Dubey has collaborated with scholars based in India, United Arab Emirates and Portugal. Frequent co-authors include Zainul Abdin Jaffery, Mordhwaj S. Parihar, Yogesh Yogesh, Ãlvaro Rocha, Ahteshamul Haque, Taruna Hemnani, P. Santhi Thilagam, Ashish Mathur, Shikha Wadhwa and Ayush Goyal. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, International Journal of Electrical Power & Energy Systems and IEEE Sensors Journal.
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.