Pranesh Kumar Paul
- Water Science and Technology top 5%
- Global and Planetary Change top 10%
- Environmental Engineering top 10%
- Ecology
- Atmospheric Science
- Co-authors
- Yongqiang ZhangAshok MishraRajendra Prasad SinghJing TianFaisal Mueen QamerShahid NaeemAamir LatifJunlong Zhang
- Topics
- Hydrology and Watershed Management Studies (13 papers)Flood Risk Assessment and Management (10 papers)Hydrological Forecasting Using AI (6 papers)
In The Last Decade
Pranesh Kumar Paul
17 papers receiving 300 citations
Peers
Comparison fields: 5 of 37
- Water Science and Technology 212
- Global and Planetary Change 212
- Environmental Engineering 120
- Ecology 47
- Atmospheric Science 45
Countries citing papers authored by Pranesh Kumar Paul
This map shows the geographic impact of Pranesh Kumar Paul'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 Pranesh Kumar Paul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pranesh Kumar Paul more than expected).
Fields of papers citing papers by Pranesh Kumar Paul
This network shows the impact of papers produced by Pranesh Kumar Paul. 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 Pranesh Kumar Paul. The network helps show where Pranesh Kumar Paul may publish in the future.
Co-authorship network of co-authors of Pranesh Kumar Paul
This figure shows the co-authorship network connecting the top 25 collaborators of Pranesh Kumar Paul. A scholar is included among the top collaborators of Pranesh Kumar Paul based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pranesh Kumar Paul. Pranesh Kumar Paul is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 9 | |
| 4 | 15 | |
| 5 | 16 | |
| 6 | 23 | |
| 7 | 39 | |
| 8 | 2 | |
| 9 | 9 | |
| 10 | 49 | |
| 11 | 13 | |
| 12 | 49 | |
| 13 | 16 | |
| 14 | 18 | |
| 15 | Streamflow Assessment in Changing Monsoon Climate in Two Neighbouring River Basins of Eastern India | 5 |
| 16 | 37 | |
| 17 | Operational Testing of Satellite based Hydrological Model (SHM) | 1 |
| 18 | Regionalization Study of Satellite based Hydrological Model (SHM) in Hydrologically Homogeneous River Basins of India | 2 |
About Pranesh Kumar Paul
Pranesh Kumar Paul is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering, having authored 18 papers that have together received 308 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (13 papers), Flood Risk Assessment and Management (10 papers) and Hydrological Forecasting Using AI (6 papers). The work is most often cited by research in Water Science and Technology (212 citations), Global and Planetary Change (212 citations) and Environmental Engineering (120 citations). Pranesh Kumar Paul has collaborated with scholars based in India, China and Canada. Frequent co-authors include Yongqiang Zhang, Ashok Mishra, Rajendra Prasad Singh, Jing Tian, Faisal Mueen Qamer, Shahid Naeem, Aamir Latif, Junlong Zhang, Nikul Kumari and Jinxi Song. Their work appears in journals such as Journal of Hydrology, International Journal of Environmental Research and Public Health and Remote Sensing.
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.