Shashi Mathur

2.0k citations
105 papers · 1.7k · h-index 21

Impact in

Papers in

Shashi Mathur

103 papers receiving 1.7k citations

Peers

Shashi Mathur
Comparison fields: 5 of 108
  • Environmental Engineering 570
  • Renewable Energy, Sustainability and the Environment 540
  • Water Science and Technology 269
  • Civil and Structural Engineering 283
  • Industrial and Manufacturing Engineering 107
Replace T. E. Unny with:
T. E. Unny Canada
Jamshid Piri Iran
Gyula Gróf Hungary
Sudheer Ch India
Hanmi Zhou China
Javier Almorox Spain
Xixiang Liu China
Xianghui Lu China
Di Zhang China
Jan F. Kreider United States
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Citations per field
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Citations per year

Countries citing papers authored by Shashi Mathur

Since Specialization
Citations

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

Fields of papers citing papers by Shashi Mathur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013144
2 2012132
3 199178
4 201676
5 199167
6 201766
7 198965
8 201660
9 200954
10 199050
11 201244
12 201338
13 200937
14 201535
15 199934
16 199034
17 198032
18 199531
19 200829
20 201224

About Shashi Mathur

Shashi Mathur is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Environmental Engineering, Civil and Structural Engineering and Artificial Intelligence, having authored 105 papers that have together received 1.7k indexed citations. Recurring topics across this work include Solar Thermal and Photovoltaic Systems (32 papers), solar cell performance optimization (27 papers), Photovoltaic System Optimization Techniques (23 papers), Groundwater flow and contamination studies (16 papers), Hydrological Forecasting Using AI (16 papers), Soil and Unsaturated Flow (13 papers), Landfill Environmental Impact Studies (8 papers) and Reservoir Engineering and Simulation Methods (7 papers). The work is most often cited by research in Environmental Engineering (570 citations), Renewable Energy, Sustainability and the Environment (540 citations), Water Science and Technology (269 citations), Civil and Structural Engineering (283 citations) and Industrial and Manufacturing Engineering (107 citations). Shashi Mathur has collaborated with scholars based in India, United Kingdom and Netherlands. Frequent co-authors include Tara C. Kandpal, Sudheer Ch, B. S. Negi, Brijesh Kumar Yadav, B.K. Panigrahi, Basant Yadav, Jan Adamowski, Ram Kailash Prasad, Maarten A. Siebel and Sumedha Chakma. Their work appears in journals such as International Journal of Energy Research, Energy Conversion and Management, Applied Energy, Journal of Irrigation and Drainage Engineering and Journal of Hydrologic 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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