Narendra Kumar
Impact in
- Soil Science top 5%
- Soil Carbon and Nitrogen Dynamics
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
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- Smart Agriculture and AI 6
- Genetic and Environmental Crop Studies 4
- Rice Cultivation and Yield Improvement 4
- Agricultural pest management studies 4
-
- Agronomic Practices and Intercropping Systems 4
- Co-authors
- Krishna Kumar (7 shared papers)Supradip Saha (1 shared paper)Samaresh Kundu (1 shared paper)B. L. Mina (1 shared paper)Ved Prakash (1 shared paper)Rachna Shah (1 shared paper)Saima Anjum (1 shared paper)Rakesh Kumar (1 shared paper)
In The Last Decade
Narendra Kumar
51 papers receiving 782 citations
Peers
Comparison fields: 5 of 123
- Soil Science 188
- Modeling and Simulation 57
- Reproductive Medicine 80
- Agronomy and Crop Science 80
- Health, Toxicology and Mutagenesis 103
Countries citing papers authored by Narendra Kumar
This map shows the geographic impact of Narendra 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 Narendra Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Narendra Kumar more than expected).
Fields of papers citing papers by Narendra Kumar
This network shows the impact of papers produced by Narendra 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 Narendra Kumar. The network helps show where Narendra Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Narendra 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 216 | |
| 2 | 2020 | 138 | |
| 3 | 2020 | 94 | |
| 4 | 2016 | 38 | |
| 5 | 2021 | 34 | |
| 6 | 2018 | 34 | |
| 7 | 2022 | 29 | |
| 8 | 2016 | 27 | |
| 9 | 2017 | 23 | |
| 10 | 2022 | 20 | |
| 11 | 2021 | 17 | |
| 12 | 2022 | 17 | |
| 13 | 2022 | 16 | |
| 14 | 2020 | 12 | |
| 15 | 2019 | 11 | |
| 16 | 2014 | 11 | |
| 17 | 2017 | 10 | |
| 18 | 2019 | 10 | |
| 19 | 2023 | 9 | |
| 20 | 2014 | 9 |
About Narendra Kumar
Narendra Kumar is a scholar working on Plant Science, Agronomy and Crop Science, Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 60 papers that have together received 856 indexed citations. Recurring topics across this work include Sperm and Testicular Function (7 papers), Smart Agriculture and AI (6 papers), Genetic and Environmental Crop Studies (4 papers), Rice Cultivation and Yield Improvement (4 papers), Agricultural Science and Fertilization (4 papers), Agricultural pest management studies (4 papers), Agronomic Practices and Intercropping Systems (4 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Soil Science (188 citations), Modeling and Simulation (57 citations), Reproductive Medicine (80 citations), Agronomy and Crop Science (80 citations) and Health, Toxicology and Mutagenesis (103 citations). Narendra Kumar has collaborated with scholars based in India, Iraq and Singapore. Frequent co-authors include Krishna Kumar, Supradip Saha, Samaresh Kundu, B. L. Mina, Ved Prakash, Rachna Shah, Saima Anjum, Rakesh Kumar, Avneesh Anshul and Ankit Gupta. Their work appears in journals such as Archives of Agronomy and Soil Science, Biochemical Genetics, Cryobiology, Chemistry & Biodiversity and Tropical Animal Health and Production.
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.