Shanu Kumar
Impact in
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- Nanoparticles: synthesis and applications
- Quantum Dots Synthesis And Properties
- Advanced Nanomaterials in Catalysis
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- Multimodal Machine Learning Applications
Papers in
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- Domain Adaptation and Few-Shot Learning 3
- Topic Modeling 3
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- Plant Pathogens and Fungal Diseases 5
- Co-authors
- Abu Ayoobul Ansary (2 shared papers)Absar Ahmad (2 shared papers)M. Islam Khan (1 shared paper)Vinod K Kurmi (1 shared paper)Vinay P. Namboodiri (1 shared paper)Sulabha K. Kulkarni (1 shared paper)M.I. Khan (1 shared paper)Aundy Kumar (5 shared papers)
In The Last Decade
Shanu Kumar
15 papers receiving 269 citations
Peers
Comparison fields: 5 of 44
- Materials Chemistry 143
- Computer Vision and Pattern Recognition 54
- Artificial Intelligence 80
- Biomedical Engineering 74
- Media Technology 8
Countries citing papers authored by Shanu Kumar
This map shows the geographic impact of Shanu 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 Shanu Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shanu Kumar more than expected).
Fields of papers citing papers by Shanu Kumar
This network shows the impact of papers produced by Shanu 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 Shanu Kumar. The network helps show where Shanu Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Shanu 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 137 | |
| 2 | 2019 | 69 | |
| 3 | 2007 | 18 | |
| 4 | 2022 | 13 | |
| 5 | 2023 | 12 | |
| 6 | 2022 | 8 | |
| 7 | 2019 | 6 | |
| 8 | 2023 | 5 | |
| 9 | 2024 | 2 | |
| 10 | 2022 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2023 | 0 | |
| 18 | 2024 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2023 | 0 |
About Shanu Kumar
Shanu Kumar is a scholar working on Artificial Intelligence, Cell Biology, Plant Science, Computer Vision and Pattern Recognition and Molecular Biology, having authored 21 papers that have together received 278 indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (5 papers), Multimodal Machine Learning Applications (4 papers), Plant-Microbe Interactions and Immunity (3 papers), Advanced Antenna and Metasurface Technologies (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Plant Pathogenic Bacteria Studies (3 papers), Microwave Engineering and Waveguides (3 papers) and Topic Modeling (3 papers). The work is most often cited by research in Materials Chemistry (143 citations), Computer Vision and Pattern Recognition (54 citations), Artificial Intelligence (80 citations), Biomedical Engineering (74 citations) and Media Technology (8 citations). Shanu Kumar has collaborated with scholars based in India, Canada and Singapore. Frequent co-authors include Abu Ayoobul Ansary, Absar Ahmad, M. Islam Khan, Vinod K Kurmi, Vinay P. Namboodiri, Sulabha K. Kulkarni, M.I. Khan, Aundy Kumar, Monojit Choudhury and Sandipan Dandapat. Their work appears in journals such as Microbial Pathogenesis, Journal of Biomedical Nanotechnology, Microbiological Research, Frontiers in Microbiology and Canadian Journal of Electrical and Computer Engineering.
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.