P. P. Mujumdar

3.5k total citations
77 papers, 2.7k citations indexed

About

P. P. Mujumdar is a scholar working on Water Science and Technology, Ocean Engineering and Global and Planetary Change. According to data from OpenAlex, P. P. Mujumdar has authored 77 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Water Science and Technology, 39 papers in Ocean Engineering and 30 papers in Global and Planetary Change. Recurrent topics in P. P. Mujumdar's work include Water resources management and optimization (38 papers), Hydrology and Watershed Management Studies (29 papers) and Water-Energy-Food Nexus Studies (18 papers). P. P. Mujumdar is often cited by papers focused on Water resources management and optimization (38 papers), Hydrology and Watershed Management Studies (29 papers) and Water-Energy-Food Nexus Studies (18 papers). P. P. Mujumdar collaborates with scholars based in India, Canada and United Kingdom. P. P. Mujumdar's co-authors include Subimal Ghosh, Deepashree Raje, S. Rehana, Ila Chawla, Subhankar Karmakar, S. Vedula, Krishna K. Osuri, Dev Niyogi, Pankaj Dey and Arpita Mondal and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Scientific Reports and Water Resources Research.

In The Last Decade

P. P. Mujumdar

73 papers receiving 2.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
P. P. Mujumdar India 28 1.6k 1.2k 1.1k 554 530 77 2.7k
S. Jamshid Mousavi Iran 27 1.1k 0.7× 1.0k 0.9× 532 0.5× 598 1.1× 623 1.2× 88 2.1k
K. Srinivasa Raju India 20 685 0.4× 565 0.5× 634 0.6× 457 0.8× 242 0.5× 54 1.6k
Rodolfo Soncini‐Sessa Italy 28 1.1k 0.7× 1.3k 1.1× 640 0.6× 338 0.6× 484 0.9× 74 2.2k
Qiang Huang China 37 1.8k 1.1× 533 0.5× 2.2k 2.0× 730 1.3× 247 0.5× 119 4.1k
Jianshi Zhao China 33 1.9k 1.2× 1.4k 1.2× 1.3k 1.1× 439 0.8× 484 0.9× 108 3.1k
Amin Elshorbagy Canada 35 2.0k 1.2× 517 0.4× 1.5k 1.3× 1.5k 2.8× 492 0.9× 95 3.4k
Tongtiegang Zhao China 31 1.4k 0.9× 930 0.8× 1.7k 1.5× 502 0.9× 366 0.7× 132 3.1k
Dedi Liu China 28 1.4k 0.9× 719 0.6× 1.1k 0.9× 453 0.8× 299 0.6× 99 2.2k
V. Jothiprakash India 26 975 0.6× 492 0.4× 958 0.8× 824 1.5× 382 0.7× 105 2.1k
Abdüsselam Altunkaynak Türkiye 27 732 0.5× 545 0.5× 650 0.6× 1.1k 2.0× 251 0.5× 110 2.3k

Countries citing papers authored by P. P. Mujumdar

Since Specialization
Citations

This map shows the geographic impact of P. P. Mujumdar'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 P. P. Mujumdar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. P. Mujumdar more than expected).

Fields of papers citing papers by P. P. Mujumdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. P. Mujumdar. 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 P. P. Mujumdar. The network helps show where P. P. Mujumdar may publish in the future.

Co-authorship network of co-authors of P. P. Mujumdar

This figure shows the co-authorship network connecting the top 25 collaborators of P. P. Mujumdar. A scholar is included among the top collaborators of P. P. Mujumdar 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 P. P. Mujumdar. P. P. Mujumdar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mujumdar, P. P., et al.. (2025). Revising Flood Return Periods by Accounting for the Co‐Occurrence Between Floods and Their Potential Drivers. International Journal of Climatology. 45(6).
2.
Ghosh, Subimal, et al.. (2024). Advances in surface water hydrology research in India. Proceedings of the Indian National Science Academy. 90(2). 482–493. 1 indexed citations
3.
Dey, Pankaj, et al.. (2024). On the regional-scale variability in flow duration curves in Peninsular India. Hydrology and earth system sciences. 28(7). 1493–1514. 3 indexed citations
4.
Mujumdar, P. P., et al.. (2022). Use of streamflow indices to identify the catchment drivers of hydrographs. Hydrology and earth system sciences. 26(8). 2019–2033. 8 indexed citations
5.
Swarnkar, Somil, P. P. Mujumdar, & Rajiv Sinha. (2021). Modified hydrologic regime of upper Ganga basin induced by natural and anthropogenic stressors. Scientific Reports. 11(1). 19491–19491. 31 indexed citations
6.
Rehana, S., Chandra Rupa Rajulapati, Subimal Ghosh, Subhankar Karmakar, & P. P. Mujumdar. (2020). Uncertainty Quantification in Water Resource Systems Modeling: Case Studies from India. Water. 12(6). 1793–1793. 18 indexed citations
7.
Singh, Pushpendra Kumar, Pankaj Dey, Sharad K. Jain, & P. P. Mujumdar. (2020). Hydrology and water resources management in ancient India. Hydrology and earth system sciences. 24(10). 4691–4707. 29 indexed citations
8.
9.
Mujumdar, P. P. & Sharad K. Jain. (2018). Hydrology in Ancient India: Some Fascinating Facets. EGUGA. 8690. 1 indexed citations
10.
Chawla, Ila, Krishna K. Osuri, P. P. Mujumdar, & Dev Niyogi. (2018). Assessment of the Weather Research and Forecasting (WRF) model for simulation of extreme rainfall events in the upper Ganga Basin. Hydrology and earth system sciences. 22(2). 1095–1117. 117 indexed citations
11.
Chawla, Ila, Krishna K. Osuri, P. P. Mujumdar, & Dev Niyogi. (2017). Assessment of the Weather Research and Forecasting (WRF) Model for Extreme Rainfall Event Simulations in the Upper Ganga Basin. 5 indexed citations
12.
Kumari, Swati & P. P. Mujumdar. (2015). Fuzzy State Reservoir Operation Model for Irrigation with Gridded Rainfall Forecasts. AGU Fall Meeting Abstracts. 2015.
13.
Chawla, Ila & P. P. Mujumdar. (2015). Isolating the impacts of land use and climate change on streamflow. Hydrology and earth system sciences. 19(8). 3633–3651. 132 indexed citations
14.
Mujumdar, P. P., Subimal Ghosh, & Deepashree Raje. (2009). Hydro-meteorological predictions from GCM simulations: downscaling techniques and uncertainty modelling. IAHS-AISH publication. 333. 165–175. 2 indexed citations
15.
Mujumdar, P. P.. (2008). Implications of climate change for sustainable water resources management in India. Physics and Chemistry of the Earth Parts A/B/C. 33(5). 354–358. 32 indexed citations
16.
Ghosh, Subimal, et al.. (2008). Fuzzy Waste Load Allocation Model: Application to a Case Study. Journal of Intelligent Systems. 17(1-3). 283–296. 1 indexed citations
17.
Ghosh, Subimal & P. P. Mujumdar. (2007). Modeling GCM and Scenario Uncertainty: An Imprecise Probability Approach.. Indian International Conference on Artificial Intelligence. 836–846. 1 indexed citations
18.
Karmakar, Subhankar & P. P. Mujumdar. (2006). An inexact optimization approach for river water-quality management. Journal of Environmental Management. 81(3). 233–248. 25 indexed citations
19.
Sudhakar, K., et al.. (2006). Customized Regression Model for Improving Low Fidelity Analysis Tool. 5 indexed citations
20.
Mujumdar, P. P. & D. Nagesh Kumar. (1990). Stochastic models of streamflow: some case studies. Hydrological Sciences Journal. 35(4). 395–410. 25 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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