Sudhir Kumar Singh

13.5k total citations · 2 hit papers
323 papers, 9.5k citations indexed

About

Sudhir Kumar Singh is a scholar working on Environmental Engineering, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, Sudhir Kumar Singh has authored 323 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 134 papers in Environmental Engineering, 122 papers in Global and Planetary Change and 116 papers in Water Science and Technology. Recurrent topics in Sudhir Kumar Singh's work include Groundwater and Watershed Analysis (78 papers), Hydrology and Watershed Management Studies (71 papers) and Flood Risk Assessment and Management (51 papers). Sudhir Kumar Singh is often cited by papers focused on Groundwater and Watershed Analysis (78 papers), Hydrology and Watershed Management Studies (71 papers) and Flood Risk Assessment and Management (51 papers). Sudhir Kumar Singh collaborates with scholars based in India, United States and Hungary. Sudhir Kumar Singh's co-authors include Prashant K. Srivastava, Kishan Singh Rawat, Ram L. Ray, Rajendra P. Sishodia, Szilárd Szabó, Sandeep Kumar Gautam, Jay Krishna Thakur, Nirmal Kumar, Saumitra Mukherjee and Sk. Mustak and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Sudhir Kumar Singh

303 papers receiving 9.2k citations

Hit Papers

Applications of Remote Sensing in Precision Agriculture: ... 2020 2026 2022 2024 2020 2023 250 500 750

Peers

Sudhir Kumar Singh
Comparison fields: 5 of 169
  • Environmental Engineering 4.4k
  • Global and Planetary Change 3.8k
  • Water Science and Technology 3.7k
  • Geochemistry and Petrology 1.6k
  • Ecology 1.5k
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Citations per field, relative to Sudhir Kumar Singh
Sudhir Kumar Singh · 1×
Citations per year, relative to Sudhir Kumar Singh
Sudhir Kumar Singh · 1×

Countries citing papers authored by Sudhir Kumar Singh

Since Specialization
Citations

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

Fields of papers citing papers by Sudhir Kumar Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sudhir Kumar Singh. 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 Sudhir Kumar Singh. The network helps show where Sudhir Kumar Singh may publish in the future.

Co-authorship network of co-authors of Sudhir Kumar Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Sudhir Kumar Singh. A scholar is included among the top collaborators of Sudhir Kumar Singh 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 Sudhir Kumar Singh. Sudhir Kumar Singh 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
# Work Indexed citations
1 2
2 0
3 0
4 0
5 13
6 5
7 5
8 2
9 1
10 2
11 3
12 12
13 7
14 61
15 16
16 1
17 48
18 83
19 40
20
A multivariate approach for water quality assessment of River Mandakini in Chitrakoot, India
9

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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