Nayan Sharma

91 papers receiving 1.1k citations

Peers

Nayan Sharma
Comparison fields: 5 of 91
  • Soil Science 270
  • Water Science and Technology 369
  • Global and Planetary Change 551
  • Ecology 518
  • Environmental Engineering 256
Replace Aleksey Y. Sheshukov with:
Aleksey Y. Sheshukov United States
Hiroshi Yasuda Japan
Ruifeng Zhao China
İnci Güneralp United States
Gary W. Brunner United States
J. F. Cruise United States
Vincent Simonneaux France
Hui Yue China
Menno Straatsma Netherlands
Stefanos Stefanidis Greece
Nayan Sharma relative to Aleksey Y. Sheshukov United States Aleksey Y. Sheshukov's profile →
Citations per field
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Aleksey Y. Sheshukov · 1×
Citations per year

Countries citing papers authored by Nayan Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Nayan Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nayan Sharma, 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 Nayan Sharma Line = papers co-authored together Nayan Sharma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016153
2 2004113
3 201285
4 201569
5 201562
6 201146
7 201342
8 200830
9 201029
10 201526
11 202225
12 201425
13 201425
14 201024
15 201623
16 201622
17 201520
18 201518
19 201615
20 201514

About Nayan Sharma

Nayan Sharma is a scholar working on Ecology, Civil and Structural Engineering, Global and Planetary Change, Water Science and Technology and Soil Science, having authored 100 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hydrology and Sediment Transport Processes (43 papers), Hydraulic flow and structures (31 papers), Flood Risk Assessment and Management (22 papers), Hydrology and Watershed Management Studies (22 papers), Soil erosion and sediment transport (13 papers), Fluid Dynamics and Turbulent Flows (10 papers), Transboundary Water Resource Management (8 papers) and Hydrological Forecasting Using AI (7 papers). The work is most often cited by research in Soil Science (270 citations), Water Science and Technology (369 citations), Global and Planetary Change (551 citations), Ecology (518 citations) and Environmental Engineering (256 citations). Nayan Sharma has collaborated with scholars based in India, Germany and United States. Frequent co-authors include C. S. P. Ojha, P. K. Garg, Martin Kappas, Dheeraj Kumar, Vijay P. Singh, Ashish Pandey, Wolfgang‐Albert Flügel, Rahul Garg, Archana Sarkar and Mohammad Amir Khan. Their work appears in journals such as Water, Journal of Hydraulic Research, Applied Water Science, Journal of Hydrologic Engineering and ISH Journal of Hydraulic Engineering.

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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