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, Saumitra Mukherjee, Nirmal Kumar 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 Se... 2020 2026 2022 2024 2020 2023 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sudhir Kumar Singh 4.4k 3.8k 3.7k 1.6k 1.5k 323 9.5k
Okke Batelaan 4.2k 1.0× 4.0k 1.1× 4.4k 1.2× 1.4k 0.9× 1.1k 0.7× 289 8.9k
Qi Feng 2.5k 0.6× 4.2k 1.1× 2.9k 0.8× 1.1k 0.7× 1.6k 1.0× 406 9.7k
Ronny Berndtsson 3.1k 0.7× 3.5k 0.9× 3.3k 0.9× 910 0.6× 702 0.5× 374 9.0k
Subodh Chandra Pal 3.0k 0.7× 4.0k 1.1× 2.9k 0.8× 871 0.6× 714 0.5× 296 8.5k
Sangam Shrestha 2.5k 0.6× 2.9k 0.8× 4.8k 1.3× 1.4k 0.9× 647 0.4× 220 8.0k
Zhenyao Shen 2.3k 0.5× 2.0k 0.5× 5.7k 1.5× 749 0.5× 1.3k 0.8× 358 13.1k
Lawrence E. Band 3.9k 0.9× 5.6k 1.5× 5.5k 1.5× 747 0.5× 3.6k 2.4× 189 12.9k
Jens Christian Refsgaard 3.9k 0.9× 4.3k 1.2× 6.4k 1.7× 1.1k 0.7× 830 0.6× 180 9.6k
Assefa M. Melesse 3.6k 0.8× 5.7k 1.5× 6.2k 1.7× 531 0.3× 2.0k 1.3× 255 11.3k
Lutz Breuer 1.8k 0.4× 3.2k 0.8× 3.6k 1.0× 958 0.6× 1.4k 0.9× 255 7.7k

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
1.
Tiwari, Manish, Smriti Shukla, Kishan Singh Rawat, Varun Narayan Mishra, & Sudhir Kumar Singh. (2025). High-Resolution Waterlogging Mapping Along Ghazipur Drain in Delhi: A UAV-Based Bathymetric Analysis Approach. Nature Environment and Pollution Technology. 24(4). B4316–B4316.
2.
Singh, Sudhir Kumar, et al.. (2025). Heatwave Magnitude Impact and Projected Changes Over Himachal Pradesh: CMIP6 Projections. Environmental Quality Management. 34(3).
4.
Oliveira‐Júnior, José Francisco de, Ana Silva, Ana Gomes, et al.. (2025). Rainfall variability, land use and land cover dynamics, and implications for climate risk through a theoretical-conceptual model for the Eastern Northeast of Brazil. Journal of South American Earth Sciences. 158. 105470–105470. 2 indexed citations
5.
Singh, Sudhir Kumar, et al.. (2025). Decadal Analysis of PM2.5 and its Impact on AOD Over the Ganga River Basin. Aerosol Science and Engineering.
6.
Zhang, Ke, et al.. (2024). Hydrological insights: Comparative analysis of gridded potential evapotranspiration products for hydrological simulations and drought assessment. Journal of Hydrology Regional Studies. 57. 102113–102113. 5 indexed citations
8.
Oza, Sandip R., et al.. (2024). Assessment of various microwave brightness temperature products and methods for surface melt detection over Greenland ice sheet. Polar Science. 42. 101097–101097. 1 indexed citations
9.
Panda, Kanhu Charan, et al.. (2024). Advanced CMD predictor screening approach coupled with cellular automata-artificial neural network algorithm for efficient land use-land cover change prediction. Journal of Cleaner Production. 449. 141822–141822. 13 indexed citations
10.
Gupta, Sheifali, Paresh Nath Singha Roy, Shruti Kanga, et al.. (2024). Impact of topographic and hydrological parameters on urban health in Jaipur City. Current Opinion in Environmental Science & Health. 42. 100584–100584. 5 indexed citations
11.
Rawat, Kishan Singh, et al.. (2024). Hydrological simulation of runoff for stream flow prediction using SWAT model and GIS techniques over palar River Basin, India. AIP conference proceedings. 3072. 40011–40011. 2 indexed citations
12.
Valjarević, Aleksandar, et al.. (2024). Universal Snow Avalanche Modeling Index Based on SAFI–Flow-R Approach in Poorly-Gauged Regions. ISPRS International Journal of Geo-Information. 13(9). 315–315. 11 indexed citations
13.
Singh, Dharmaveer, Kunal Karan, Sudhir Kumar Singh, Pankaj Chauhan, & Ronny Berndtsson. (2023). Fusing morphometric characteristics with extreme precipitation indices for identifying the most vulnerable sub-basin at risk of flooding. Journal of Hydro-environment Research. 50. 44–56. 12 indexed citations
14.
Rawat, Kishan Singh, et al.. (2023). Assessment of multi-source satellite products using hydrological modelling approach. Physics and Chemistry of the Earth Parts A/B/C. 133. 103507–103507. 7 indexed citations
15.
Noor, Rabeea, et al.. (2023). A comprehensive review on water pollution, South Asia Region: Pakistan. Urban Climate. 48. 101413–101413. 61 indexed citations
16.
Chatterjee, Uday, et al.. (2022). Ecological Footprints of Climate Change. 16 indexed citations
17.
Singh, Gyan Prakash, et al.. (2022). Pan evaporation based geometrical similarity model for prediction of evapotranspiration. 10(15). 120–131. 1 indexed citations
18.
Kumar, Mukesh, et al.. (2021). Investigating forest fragmentation through earth observation datasets and metric analysis in the tropical rainforest area. SN Applied Sciences. 3(7). 10 indexed citations
19.
Kumar, Mukesh, et al.. (2018). Landscape metrics for assessment of land cover change and fragmentation of a heterogeneous watershed. Remote Sensing Applications Society and Environment. 10. 224–233. 83 indexed citations
20.
Gupta, Lalita, Ram Avtar, Pankaj Kumar, et al.. (2014). A multivariate approach for water quality assessment of River Mandakini in Chitrakoot, India. UNU Collections (United Nations University). 9 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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