Ahlad Kumar
Impact in
- Media Technology top 5%
- Advanced Image Fusion Techniques
- Image Processing Techniques and Applications
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- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
Papers in
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- Advanced Image Processing Techniques 9
- Image and Signal Denoising Methods 9
- Image Enhancement Techniques 3
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- Smart Agriculture and AI 10
- Leaf Properties and Growth Measurement 4
- Greenhouse Technology and Climate Control 4
- Co-authors
- Vinay Palaparthy (10 shared papers)M. Omair Ahmad (5 shared papers)M.N.S. Swamy (5 shared papers)Manish Kumar (1 shared paper)Sandeep G. Surya (2 shared papers)K. Saláma (1 shared paper)Raveendran Paramesran (3 shared papers)Pooja Garg (4 shared papers)
In The Last Decade
Ahlad Kumar
26 papers receiving 387 citations
Peers
Comparison fields: 5 of 72
- Media Technology 77
- Computer Vision and Pattern Recognition 125
- Analytical Chemistry 43
- Plant Science 152
- Bioengineering 20
Countries citing papers authored by Ahlad Kumar
This map shows the geographic impact of Ahlad 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 Ahlad Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ahlad Kumar more than expected).
Fields of papers citing papers by Ahlad Kumar
This network shows the impact of papers produced by Ahlad 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 Ahlad Kumar. The network helps show where Ahlad Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Ahlad 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 81 | |
| 2 | 2021 | 52 | |
| 3 | 2021 | 44 | |
| 4 | 2019 | 32 | |
| 5 | 2022 | 19 | |
| 6 | 2018 | 17 | |
| 7 | 2019 | 16 | |
| 8 | 2017 | 16 | |
| 9 | 2018 | 14 | |
| 10 | 2012 | 13 | |
| 11 | 2016 | 13 | |
| 12 | 2023 | 12 | |
| 13 | 2015 | 11 | |
| 14 | 2021 | 10 | |
| 15 | 2024 | 10 | |
| 16 | 2022 | 8 | |
| 17 | 2022 | 8 | |
| 18 | 2014 | 5 | |
| 19 | 2017 | 5 | |
| 20 | 2014 | 4 |
About Ahlad Kumar
Ahlad Kumar is a scholar working on Computer Vision and Pattern Recognition, Plant Science, Media Technology, Biomedical Engineering and Electrical and Electronic Engineering, having authored 32 papers that have together received 400 indexed citations. Recurring topics across this work include Smart Agriculture and AI (10 papers), Advanced Image Processing Techniques (9 papers), Image and Signal Denoising Methods (9 papers), Image Processing Techniques and Applications (5 papers), Leaf Properties and Growth Measurement (4 papers), Greenhouse Technology and Climate Control (4 papers), Advanced Image Fusion Techniques (4 papers) and Image Enhancement Techniques (3 papers). The work is most often cited by research in Media Technology (77 citations), Computer Vision and Pattern Recognition (125 citations), Analytical Chemistry (43 citations), Plant Science (152 citations) and Bioengineering (20 citations). Ahlad Kumar has collaborated with scholars based in India, Malaysia and Canada. Frequent co-authors include Vinay Palaparthy, M. Omair Ahmad, M.N.S. Swamy, Manish Kumar, Sandeep G. Surya, K. Saláma, Raveendran Paramesran, Pooja Garg, Sarat C. Dass and Manjunath V. Joshi. Their work appears in journals such as IEEE Sensors Journal, IEEE Transactions on Image Processing, Analog Integrated Circuits and Signal Processing, Multimedia Tools and Applications and IEEE Transactions on Microwave Theory and Techniques.
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.