Jitendra Rajput
Impact in
- Environmental Engineering top 5%
- Hydrological Forecasting Using AI
- Groundwater and Watershed Analysis
- Water Science and Technology top 5%
- Hydrology and Watershed Management Studies
Papers in
- Soil Science 28
- Irrigation Practices and Water Management 20
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- Hydrological Forecasting Using AI 19
- Co-authors
- Ahmed Elbeltagi (16 shared papers)Nand Lal Kushwaha (18 shared papers)Dinesh Kumar Vishwakarma (7 shared papers)D.R. Sena (7 shared papers)Nadhir Al‐Ansari (4 shared papers)Manoj Khanna (8 shared papers)Man Singh (6 shared papers)Danny Singh (2 shared papers)
In The Last Decade
Jitendra Rajput
66 papers receiving 809 citations
Peers
Comparison fields: 5 of 86
- Environmental Engineering 368
- Water Science and Technology 274
- Global and Planetary Change 335
- Soil Science 139
- Geochemistry and Petrology 42
Countries citing papers authored by Jitendra Rajput
This map shows the geographic impact of Jitendra Rajput'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 Jitendra Rajput with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jitendra Rajput more than expected).
Fields of papers citing papers by Jitendra Rajput
This network shows the impact of papers produced by Jitendra Rajput. 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 Jitendra Rajput. The network helps show where Jitendra Rajput may publish in the future.
Co-authors
The 25 scholars most cited alongside Jitendra Rajput, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 75 | |
| 2 | 2022 | 61 | |
| 3 | 2023 | 45 | |
| 4 | 2022 | 43 | |
| 5 | 2023 | 41 | |
| 6 | 2022 | 34 | |
| 7 | 2022 | 33 | |
| 8 | 2023 | 31 | |
| 9 | 2022 | 27 | |
| 10 | 2022 | 22 | |
| 11 | 2023 | 20 | |
| 12 | 2024 | 20 | |
| 13 | 2022 | 20 | |
| 14 | 2024 | 18 | |
| 15 | 2023 | 18 | |
| 16 | 2024 | 17 | |
| 17 | 2023 | 16 | |
| 18 | 2018 | 15 | |
| 19 | 2023 | 14 | |
| 20 | 2024 | 14 |
About Jitendra Rajput
Jitendra Rajput is a scholar working on Soil Science, Environmental Engineering, Global and Planetary Change, Plant Science and Water Science and Technology, having authored 79 papers that have together received 828 indexed citations. Recurring topics across this work include Irrigation Practices and Water Management (20 papers), Hydrological Forecasting Using AI (19 papers), Plant Water Relations and Carbon Dynamics (12 papers), Hydrology and Watershed Management Studies (12 papers), Water resources management and optimization (10 papers), Rice Cultivation and Yield Improvement (8 papers), Agricultural Economics and Practices (7 papers) and Hydrology and Drought Analysis (7 papers). The work is most often cited by research in Environmental Engineering (368 citations), Water Science and Technology (274 citations), Global and Planetary Change (335 citations), Soil Science (139 citations) and Geochemistry and Petrology (42 citations). Jitendra Rajput has collaborated with scholars based in India, Egypt and Algeria. Frequent co-authors include Ahmed Elbeltagi, Nand Lal Kushwaha, Dinesh Kumar Vishwakarma, D.R. Sena, Nadhir Al‐Ansari, Manoj Khanna, Man Singh, Danny Singh, Joydeep Mukherjee and A. Sarangi. Their work appears in journals such as Journal of Atmospheric and Solar-Terrestrial Physics, Environment Development and Sustainability, Scientific Reports, Ecological Informatics and Atmosphere.
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.