U.S. Panu

1.6k citations
53 papers · 1.2k indexed · h-index 17

Impact in

Papers in

U.S. Panu

50 papers receiving 1.1k citations

Peers

U.S. Panu
Comparison fields: 5 of 82
  • Water Science and Technology 547
  • Global and Planetary Change 761
  • Environmental Engineering 434
  • Atmospheric Science 130
  • Soil Science 58
Replace S. Adarsh with:
S. Adarsh India
S. Y. Liong Singapore
N. T. Kottegoda United Kingdom
Maheswaran Rathinasamy India
Bihrat Önöz Türkiye
Mauro Fiorentino Italy
Xiaoyan He China
Jiufu Liu China
Rakesh Khosa India
Renata J. Romanowicz Poland
U.S. Panu relative to S. Adarsh India S. Adarsh's profile →
Citations per field
00.5×1.5×1.9×
S. Adarsh · 1×
Citations per year

Countries citing papers authored by U.S. Panu

Since Specialization
Citations

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

Fields of papers citing papers by U.S. Panu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by U.S. Panu. 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 U.S. Panu. The network helps show where U.S. Panu may publish in the future.

Co-authors

The 15 scholars most cited alongside U.S. Panu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with U.S. Panu Line = papers co-authored together U.S. Panu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002216
2 2002137
3 200090
4 200270
5 200168
6 199760
7 200057
8 200756
9 201048
10 201240
11 200929
12 200827
13 201427
14 200123
15 197823
16 201422
17 200817
18 200416
19 200016
20 200915

About U.S. Panu

U.S. Panu is a scholar working on Global and Planetary Change, Water Science and Technology, Environmental Engineering, Ocean Engineering and Civil and Structural Engineering, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hydrology and Drought Analysis (31 papers), Hydrology and Watershed Management Studies (27 papers), Hydrological Forecasting Using AI (12 papers), Climate variability and models (12 papers), Water resources management and optimization (7 papers), Hydraulic flow and structures (4 papers), Neural Networks and Applications (4 papers) and Water Systems and Optimization (4 papers). The work is most often cited by research in Water Science and Technology (547 citations), Global and Planetary Change (761 citations), Environmental Engineering (434 citations), Atmospheric Science (130 citations) and Soil Science (58 citations). U.S. Panu has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include T.C. Sharma, Slobodan P. Simonović, Amin Elshorbagy, William C. Lennox, Vinay Kumar, T. E. Unny, Tarek M. Khalil, Rammohan K. Ragade, Nguyễn Tiến Thành and J. M. Saxton. Their work appears in journals such as Hydrological Sciences Journal, Journal of Hydrology, Journal of Hydrologic Engineering, Water Resources Research and Canadian Water Resources Journal / Revue canadienne des ressources hydriques.

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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