Anuj Kumar
Impact in
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- Speech Recognition and Synthesis
Papers in
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- Advanced Neural Network Applications 4
- Video Surveillance and Tracking Methods 4
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- Spectroscopy and Chemometric Analyses 5
- Co-authors
- Sonal Gupta (1 shared paper)Rushin Shah (1 shared paper)Mike Lewis (1 shared paper)Velagapudi Vasu (1 shared paper)Malkiat Chand Sidhu (1 shared paper)Yongqiang Wang (1 shared paper)Ravinder Kumar Singla (1 shared paper)Baiyang Liu (1 shared paper)
In The Last Decade
Anuj Kumar
19 papers receiving 302 citations
Peers
Comparison fields: 5 of 66
- Analytical Chemistry 57
- Artificial Intelligence 138
- Computer Vision and Pattern Recognition 76
- Plant Science 108
- Complementary and alternative medicine 12
Countries citing papers authored by Anuj Kumar
This map shows the geographic impact of Anuj 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 Anuj Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anuj Kumar more than expected).
Fields of papers citing papers by Anuj Kumar
This network shows the impact of papers produced by Anuj 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 Anuj Kumar. The network helps show where Anuj Kumar may publish in the future.
Co-authors
The 16 scholars most cited alongside Anuj 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 117 | |
| 2 | 2020 | 76 | |
| 3 | 2022 | 46 | |
| 4 | 2023 | 16 | |
| 5 | 2024 | 9 | |
| 6 | 2022 | 9 | |
| 7 | 2024 | 8 | |
| 8 | 2023 | 8 | |
| 9 | 2021 | 6 | |
| 10 | 2018 | 6 | |
| 11 | 2020 | 5 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2019 | 2 | |
| 17 | 2014 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2025 | 0 |
About Anuj Kumar
Anuj Kumar is a scholar working on Computer Vision and Pattern Recognition, Analytical Chemistry, Plant Science, Neurology and Media Technology, having authored 26 papers that have together received 324 indexed citations. Recurring topics across this work include Smart Agriculture and AI (10 papers), Leaf Properties and Growth Measurement (5 papers), Spectroscopy and Chemometric Analyses (5 papers), Remote Sensing in Agriculture (5 papers), Advanced Neural Network Applications (4 papers), Video Surveillance and Tracking Methods (4 papers), Brain Tumor Detection and Classification (3 papers) and Autonomous Vehicle Technology and Safety (2 papers). The work is most often cited by research in Analytical Chemistry (57 citations), Artificial Intelligence (138 citations), Computer Vision and Pattern Recognition (76 citations), Plant Science (108 citations) and Complementary and alternative medicine (12 citations). Anuj Kumar has collaborated with scholars based in India, Israel and Pakistan. Frequent co-authors include Sonal Gupta, Rushin Shah, Mike Lewis, Velagapudi Vasu, Malkiat Chand Sidhu, Yongqiang Wang, Ravinder Kumar Singla, Baiyang Liu, Anuj Sharma and Christian Fuegen. Their work appears in journals such as Multimedia Tools and Applications, Expert Systems with Applications, Wireless Personal Communications, Production Engineering and Pattern Recognition.
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.