Pravendra Kumar
Impact in
- Water Science and Technology top 5%
- Hydrology and Watershed Management Studies
- Water Quality Monitoring Technologies
- Environmental Engineering top 5%
- Hydrological Forecasting Using AI
Papers in
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- Hydrology and Watershed Management Studies 23
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- Hydrological Forecasting Using AI 19
- Groundwater and Watershed Analysis 2
- Co-authors
- Alban Kuriqi (7 shared papers)Manish Kumar (6 shared papers)Ahmed Elbeltagi (3 shared papers)Anurag Malik (2 shared papers)Rawshan Ali (2 shared papers)Dinesh Kumar Vishwakarma (3 shared papers)Nadhir Al‐Ansari (2 shared papers)Anil Kumar (1 shared paper)
In The Last Decade
Pravendra Kumar
23 papers receiving 366 citations
Peers
Comparison fields: 5 of 47
- Water Science and Technology 242
- Environmental Engineering 246
- Global and Planetary Change 186
- Soil Science 49
- Ecology 62
Countries citing papers authored by Pravendra Kumar
This map shows the geographic impact of Pravendra 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 Pravendra Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pravendra Kumar more than expected).
Fields of papers citing papers by Pravendra Kumar
This network shows the impact of papers produced by Pravendra 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 Pravendra Kumar. The network helps show where Pravendra Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Pravendra 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 67 | |
| 2 | 2022 | 39 | |
| 3 | 2020 | 37 | |
| 4 | 2021 | 37 | |
| 5 | 2021 | 36 | |
| 6 | 2021 | 32 | |
| 7 | 2023 | 30 | |
| 8 | 2022 | 27 | |
| 9 | 2024 | 17 | |
| 10 | 2021 | 15 | |
| 11 | 2021 | 6 | |
| 12 | 2018 | 6 | |
| 13 | Modelling river suspended sediment load using artificial neural network and multiple linear regression: Vamsadhara River Basin, India | 2017 | 5 |
| 14 | 2023 | 3 | |
| 15 | 2018 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2017 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2022 | 1 |
About Pravendra Kumar
Pravendra Kumar is a scholar working on Water Science and Technology, Environmental Engineering, Global and Planetary Change, Soil Science and Ecology, having authored 27 papers that have together received 374 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (23 papers), Hydrological Forecasting Using AI (19 papers), Flood Risk Assessment and Management (10 papers), Hydrology and Drought Analysis (6 papers), Soil erosion and sediment transport (4 papers), Hydrology and Sediment Transport Processes (2 papers), Plant Water Relations and Carbon Dynamics (2 papers) and Groundwater and Watershed Analysis (2 papers). The work is most often cited by research in Water Science and Technology (242 citations), Environmental Engineering (246 citations), Global and Planetary Change (186 citations), Soil Science (49 citations) and Ecology (62 citations). Pravendra Kumar has collaborated with scholars based in India, Portugal and Egypt. Frequent co-authors include Alban Kuriqi, Manish Kumar, Ahmed Elbeltagi, Anurag Malik, Rawshan Ali, Dinesh Kumar Vishwakarma, Nadhir Al‐Ansari, Anil Kumar, Rohitashw Kumar and Nand Lal Kushwaha. Their work appears in journals such as Sustainability, Environmental Science and Pollution Research, Water Resources Management, Heliyon and Applied Water Science.
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.