Pranesh Kumar Paul

456 total citations
18 papers, 308 citations indexed

About

Pranesh Kumar Paul is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Pranesh Kumar Paul has authored 18 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Water Science and Technology, 12 papers in Global and Planetary Change and 6 papers in Environmental Engineering. Recurrent topics in Pranesh Kumar Paul's work include Hydrology and Watershed Management Studies (13 papers), Flood Risk Assessment and Management (10 papers) and Hydrological Forecasting Using AI (6 papers). Pranesh Kumar Paul is often cited by papers focused on Hydrology and Watershed Management Studies (13 papers), Flood Risk Assessment and Management (10 papers) and Hydrological Forecasting Using AI (6 papers). Pranesh Kumar Paul collaborates with scholars based in India, China and Canada. Pranesh Kumar Paul's 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 and has published in prestigious journals such as Journal of Hydrology, International Journal of Environmental Research and Public Health and Remote Sensing.

In The Last Decade

Pranesh Kumar Paul

17 papers receiving 300 citations

Peers

Pranesh Kumar Paul

WST

GPC

ECOLO

Zelalem Tesemma Australia

Jingshan Yu China

Muhammad Shahzad Khattak Pakistan

Yongxin Ni China

Tadesse Alemayehu Netherlands

Luis Timbe Ecuador

Hosea M. Mwangi Kenya

Adane Abebe Ethiopia

Devanmini Halwatura Sri Lanka

Uta Fritsch Germany

Zelalem Tesemma Australia

Pranesh Kumar Paul

215 ×1.0

WST

261 ×1.2

GPC

96 ×0.8

77 ×1.6

ECOLO

66 ×1.5

Citations per year, relative to Pranesh Kumar Paul Pranesh Kumar Paul (= 1×) peers Zelalem Tesemma

Countries citing papers authored by Pranesh Kumar Paul

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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18 of 18 papers shown

Kaur, Amanpreet, Pranesh Kumar Paul, Ramesh Rudra, Pradeep Goel, & Prasad Daggupati. (2025). Evaluating and improving the simulation of channel and reservoir processes for streamflow and water quality modelling in the Lake Erie watersheds. International Journal of River Basin Management. 1–16. 1 indexed citations

Singh, Vijay P., Rajendra Prasad Singh, Pranesh Kumar Paul, Deepak Singh Bisht, & Srishti Gaur. (2024). Hydrological Processes Modelling and Data Analysis. 4 indexed citations

Paul, Pranesh Kumar, et al.. (2022). Evaluation of statistical models: Perspective of water quality load estimation. Journal of Hydrology. 616. 128721–128721. 9 indexed citations

Akhtar, Taimoor, Narayan Kumar Shrestha, Pranesh Kumar Paul, et al.. (2022). A Long-term Global Comparison of IMERG and CFSR with Surface Precipitation Stations. Water Resources Management. 36(14). 5695–5709. 15 indexed citations

Zhang, Yongqiang, Lei Cheng, Pranesh Kumar Paul, et al.. (2022). Baseflow signature behaviour of mountainous catchments around the North China Plain. Journal of Hydrology. 606. 127450–127450. 16 indexed citations

Paudel, Basanta, et al.. (2021). Climate Change and Its Impacts on Farmer’s Livelihood in Different Physiographic Regions of the Trans-Boundary Koshi River Basin, Central Himalayas. International Journal of Environmental Research and Public Health. 18(13). 7142–7142. 23 indexed citations

Paul, Pranesh Kumar, et al.. (2021). Selecting hydrological models for developing countries: Perspective of global, continental, and country scale models over catchment scale models. Journal of Hydrology. 600. 126561–126561. 39 indexed citations

Debnath, Dipesh, B. K. Bhattacharjya, Sona Yengkokpam, et al.. (2021). Ecosystem vulnerability of floodplain wetlands of the Lower Brahmaputra Valley to climatic and anthropogenic factors. Aquatic Ecosystem Health & Management. 24(3). 57–70. 2 indexed citations

Paul, Pranesh Kumar, et al.. (2020). Application of a newly developed large‐scale conceptual hydrological model in simulating streamflow for credibility testing in data scarce condition. Natural Resource Modeling. 33(4). 9 indexed citations

10.

Naeem, Shahid, Yongqiang Zhang, Jing Tian, et al.. (2020). Quantifying the Impacts of Anthropogenic Activities and Climate Variations on Vegetation Productivity Changes in China from 1985 to 2015. Remote Sensing. 12(7). 1113–1113. 49 indexed citations

11.

Paul, Pranesh Kumar, et al.. (2020). Continuous Contour Trench (CCT): Understandings of hydrological processes after standardisation of dimensions and development of a user-friendly software. Soil and Tillage Research. 205. 104792–104792. 13 indexed citations

12.

Zhang, Junlong, Yongqiang Zhang, Jinxi Song, et al.. (2020). Large-scale baseflow index prediction using hydrological modelling, linear and multilevel regression approaches. Journal of Hydrology. 585. 124780–124780. 49 indexed citations

13.

Paul, Pranesh Kumar, et al.. (2019). Diagnosing Credibility of a Large-Scale Conceptual Hydrological Model in Simulating Streamflow. Journal of Hydrologic Engineering. 24(4). 16 indexed citations

14.

Paul, Pranesh Kumar, et al.. (2019). Comparative Study of Two State-of-the-Art Semi-Distributed Hydrological Models. Water. 11(5). 871–871. 18 indexed citations

15.

Paul, Pranesh Kumar & Ashok K. Mishra. (2018). Streamflow Assessment in Changing Monsoon Climate in Two Neighbouring River Basins of Eastern India. SSRN Electronic Journal. 5 indexed citations

16.

Paul, Pranesh Kumar, et al.. (2018). Implementation of cell-to-cell routing scheme in a large scale conceptual hydrological model. Environmental Modelling & Software. 101. 23–33. 37 indexed citations

17.

Gaur, Srishti, et al.. (2017). Operational Testing of Satellite based Hydrological Model (SHM). EGUGA. 2543. 1 indexed citations

18.

Kumari, Babita, et al.. (2017). Regionalization Study of Satellite based Hydrological Model (SHM) in Hydrologically Homogeneous River Basins of India. EGUGA. 2538. 2 indexed citations

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.

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