Yadu Pokhrel

10.8k total citations · 6 hit papers
115 papers, 5.5k citations indexed

About

Yadu Pokhrel is a scholar working on Water Science and Technology, Global and Planetary Change and Oceanography. According to data from OpenAlex, Yadu Pokhrel has authored 115 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Water Science and Technology, 74 papers in Global and Planetary Change and 24 papers in Oceanography. Recurrent topics in Yadu Pokhrel's work include Hydrology and Watershed Management Studies (75 papers), Flood Risk Assessment and Management (43 papers) and Climate variability and models (34 papers). Yadu Pokhrel is often cited by papers focused on Hydrology and Watershed Management Studies (75 papers), Flood Risk Assessment and Management (43 papers) and Climate variability and models (34 papers). Yadu Pokhrel collaborates with scholars based in United States, Japan and China. Yadu Pokhrel's co-authors include Naota Hanasaki, Yoshihide Wada, Shinjiro Kanae, Taikan Oki, Yusuke Satoh, Sanghoon Shin, Hyungjun Kim, Farshid Felfelani, Simon N. Gosling and Pat J.‐F. Yeh and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Yadu Pokhrel

108 papers receiving 5.4k citations

Hit Papers

Water scarcity hotspots travel downstream due to human in... 2017 2026 2020 2023 2017 2021 2023 2021 2022 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Water scarcity hotspots travel downstream due to human interventions in the 20th and 21st century
    2017 368 citations Ted Veldkamp, Yoshihide Wada et al. Nature Communications profile →
  2. Globally observed trends in mean and extreme river flow attributed to climate change
    2021 348 citations Julien Boulangé, Simon N. Gosling et al. profile →
  3. Future socio-ecosystem productivity threatened by compound drought–heatwave events
    2023 240 citations Jiabo Yin, Pierre Gentine et al. profile →
  4. Role of dams in reducing global flood exposure under climate change
    2021 229 citations Julien Boulangé, Naota Hanasaki et al. Nature Communications profile →
  5. The timing of unprecedented hydrological drought under climate change
    2022 181 citations Yusuke Satoh, Kei Yoshimura et al. Nature Communications profile →
  6. Oceanic climate changes threaten the sustainability of Asia’s water tower
    2023 92 citations Qiang Zhang, Zexi Shen et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yadu Pokhrel United States 39 3.2k 3.1k 830 817 800 115 5.5k
Stephanie Eisner Germany 31 2.3k 0.7× 3.5k 1.2× 1.4k 1.7× 1.1k 1.3× 560 0.7× 63 5.6k
Dominik Wisser United States 27 3.5k 1.1× 4.0k 1.3× 1.5k 1.8× 974 1.2× 815 1.0× 44 7.0k
Hannes Müller Schmied Germany 30 2.7k 0.8× 2.7k 0.9× 612 0.7× 880 1.1× 764 1.0× 74 5.4k
Anne F. Van Loon Netherlands 37 6.1k 1.9× 3.8k 1.3× 715 0.9× 598 0.7× 945 1.2× 119 7.6k
J. Salisbury United States 28 2.5k 0.8× 2.4k 0.8× 1.1k 1.4× 691 0.8× 634 0.8× 69 6.3k
F. T. Portmann Germany 15 2.0k 0.6× 2.4k 0.8× 1.1k 1.4× 1.2k 1.5× 449 0.6× 21 5.4k
Niko Wanders Netherlands 44 4.7k 1.5× 3.9k 1.3× 894 1.1× 1.6k 2.0× 1.9k 2.3× 120 7.7k
Peter Burek Austria 28 1.8k 0.6× 2.4k 0.8× 745 0.9× 635 0.8× 663 0.8× 79 3.9k
Berit Arheimer Sweden 43 2.5k 0.8× 3.8k 1.2× 312 0.4× 1.0k 1.2× 882 1.1× 128 5.8k
K. A. Dunne United States 16 4.8k 1.5× 3.0k 1.0× 417 0.5× 669 0.8× 1.9k 2.4× 20 6.6k

Countries citing papers authored by Yadu Pokhrel

Since Specialization
Citations

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

Fields of papers citing papers by Yadu Pokhrel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yadu Pokhrel

This figure shows the co-authorship network connecting the top 25 collaborators of Yadu Pokhrel. A scholar is included among the top collaborators of Yadu Pokhrel 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 Yadu Pokhrel. Yadu Pokhrel 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.
Tiwari, Amar Deep, Yadu Pokhrel, Julien Boulangé, et al.. (2025). Similarities and divergent patterns in hydrologic fluxes and storages simulated by global water models. Nature Water. 3(5). 550–560. 2 indexed citations
2.
3.
Morovati, Khosro, et al.. (2024). On the cause of large daily river flow fluctuations in the Mekong River. Hydrology and earth system sciences. 28(22). 5133–5147. 2 indexed citations
4.
Gnann, Sebastian, Robert Reinecke, Lina Stein, et al.. (2023). Functional relationships reveal differences in the water cycle representation of global water models. Nature Water. 1(12). 1079–1090. 29 indexed citations
5.
Kattel, Giri, et al.. (2023). How resilient are waterways of the Asian Himalayas? Finding adaptive measures for future sustainability. Wiley Interdisciplinary Reviews Water. 10(6). 4 indexed citations
6.
Bhattarai, Nishan, David B. Lobell, Balwinder Singh, et al.. (2023). Warming temperatures exacerbate groundwater depletion rates in India. Science Advances. 9(35). eadi1401–eadi1401. 36 indexed citations
7.
Yin, Jiabo, Louise Slater, Abdou Khouakhi, et al.. (2023). GTWS-MLrec: global terrestrial water storage reconstruction by machine learning from 1940 to present. Earth system science data. 15(12). 5597–5615. 32 indexed citations
8.
Vanderkelen, Inne, Shervan Gharari, Naoki Mizukami, et al.. (2022). Evaluating a reservoir parametrization in the vector-based global routing model mizuRoute (v2.0.1) for Earth system model coupling. Geoscientific model development. 15(10). 4163–4192. 18 indexed citations
9.
Satoh, Yusuke, Kei Yoshimura, Yadu Pokhrel, et al.. (2022). The timing of unprecedented hydrological drought under climate change. Nature Communications. 13(1). 3287–3287. 181 indexed citations breakdown →
10.
Shen, Zexi, Qiang Zhang, Vijay P. Singh, et al.. (2022). Drying in the low-latitude Atlantic Ocean contributed to terrestrial water storage depletion across Eurasia. Nature Communications. 13(1). 1849–1849. 44 indexed citations
11.
Gosling, Simon N., Matthew F. Johnson, Matthew D. Jones, et al.. (2022). Multi-model evaluation of catchment- and global-scale hydrological model simulations of drought characteristics across eight large river catchments. Advances in Water Resources. 165. 104212–104212. 16 indexed citations
12.
Vanderkelen, Inne, Nicole Van Lipzig, William J. Sacks, et al.. (2021). The impact of global reservoir expansion on the present-day climate  . 2 indexed citations
13.
Satoh, Yusuke, Tokuta Yokohata, Yadu Pokhrel, et al.. (2020). Multi-type global drought projection using multi-model hydrological simulations. 1 indexed citations
14.
Krysanova, Valentina, Jamal Zaherpour, Iulii Didovets, et al.. (2020). How evaluation of global hydrological models can help to improve credibility of river discharge projections under climate change. Climatic Change. 163(3). 1353–1377. 38 indexed citations
15.
Liu, Xingcai, Wenfeng Liu, Hong Yang, et al.. (2019). Multimodel assessments of human and climate impacts on mean annual streamflow in China. Hydrology and earth system sciences. 23(3). 1245–1261. 41 indexed citations
16.
Hanasaki, Naota, Sayaka Yoshikawa, Yadu Pokhrel, & Shinjiro Kanae. (2018). A Quantitative Investigation of the Thresholds for Two Conventional Water Scarcity Indicators Using a State‐of‐the‐Art Global Hydrological Model With Human Activities. Water Resources Research. 54(10). 8279–8294. 46 indexed citations
17.
Pokhrel, Yadu, Sanghoon Shin, Zihan Lin, Dai Yamazaki, & Jiaguo Qi. (2018). Potential Disruption of Flood Dynamics in the Lower Mekong River Basin Due to Upstream Flow Regulation. Scientific Reports. 8(1). 17767–17767. 79 indexed citations
18.
Veldkamp, Ted, Yoshihide Wada, Jeroen C. J. H. Aerts, et al.. (2017). Water scarcity hotspots travel downstream due to human interventions in the 20th and 21st century. Nature Communications. 8(1). 15697–15697. 368 indexed citations breakdown →
19.
Wada, Yoshihide, Marc F. P. Bierkens, Ad de Roo, et al.. (2017). Human–water interface in hydrological modelling: current status and future directions. Hydrology and earth system sciences. 21(8). 4169–4193. 191 indexed citations
20.
Wada, Yoshihide, Marc F. P. Bierkens, Ad de Roo, et al.. (2017). Human-water interface in hydrological modeling: Current statusand future directions. IIASA PURE (International Institute of Applied Systems Analysis). 7 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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