Vijay P. Singh

6.9k total citations
258 papers, 4.8k citations indexed

About

Vijay P. Singh is a scholar working on Water Science and Technology, Soil Science and Ecology. According to data from OpenAlex, Vijay P. Singh has authored 258 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Water Science and Technology, 73 papers in Soil Science and 69 papers in Ecology. Recurrent topics in Vijay P. Singh's work include Hydrology and Watershed Management Studies (64 papers), Hydrology and Sediment Transport Processes (59 papers) and Hydraulic flow and structures (47 papers). Vijay P. Singh is often cited by papers focused on Hydrology and Watershed Management Studies (64 papers), Hydrology and Sediment Transport Processes (59 papers) and Hydraulic flow and structures (47 papers). Vijay P. Singh collaborates with scholars based in United States, China and India. Vijay P. Singh's co-authors include Mo Li, Surendra Kumar Mishra, Qiang Fu, Zhiqiang Deng, Dong Liu, Lars Bengtsson, Tommaso Moramarco, Qiang Zhang, Carla Saltalippi and S. K. Mishra and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and PLoS ONE.

In The Last Decade

Vijay P. Singh

239 papers receiving 4.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vijay P. Singh United States 36 2.4k 1.4k 1.1k 1.1k 981 258 4.8k
Rafael Muñoz‐Carpena United States 42 2.5k 1.1× 1.7k 1.2× 1.2k 1.1× 1.9k 1.8× 2.0k 2.1× 229 7.5k
Bernd Diekkrüger Germany 42 2.4k 1.0× 2.3k 1.6× 550 0.5× 1.4k 1.3× 1.0k 1.1× 153 4.8k
T. Meixner United States 40 2.8k 1.2× 2.2k 1.5× 1.4k 1.2× 1.5k 1.4× 1.3k 1.3× 139 5.9k
Luís Garrote Spain 34 2.2k 0.9× 2.3k 1.6× 547 0.5× 655 0.6× 498 0.5× 149 5.4k
Tianxiao Li China 39 1.3k 0.6× 1.4k 1.0× 450 0.4× 599 0.6× 843 0.9× 182 4.5k
Lutz Breuer Germany 49 3.6k 1.5× 3.2k 2.2× 1.4k 1.3× 1.8k 1.7× 1.6k 1.7× 255 7.7k
Mazdak Arabi United States 37 3.0k 1.2× 1.8k 1.2× 591 0.5× 1.3k 1.2× 861 0.9× 126 5.3k
Simon Langan United Kingdom 41 2.1k 0.9× 934 0.7× 778 0.7× 791 0.7× 1.0k 1.0× 136 4.7k
Zohrab Samani United States 22 2.8k 1.2× 4.0k 2.8× 652 0.6× 1.2k 1.1× 1.4k 1.4× 87 6.8k
Xuesong Zhang United States 47 2.6k 1.1× 2.8k 2.0× 1.0k 0.9× 1.8k 1.7× 813 0.8× 216 6.9k

Countries citing papers authored by Vijay P. Singh

Since Specialization
Citations

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

Fields of papers citing papers by Vijay P. Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vijay P. Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Vijay P. Singh. A scholar is included among the top collaborators of Vijay P. 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 Vijay P. Singh. Vijay P. 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.
Wang, Gang, Lei Xu, Qiang Zhang, et al.. (2025). Increasing Selin Co Lake Area in the Tibet Plateau with Its Moisture Cycle. Sustainability. 17(5). 2024–2024. 1 indexed citations
2.
Lee, Taesam, et al.. (2025). The more the better or the less the better: LASSO versus random forest in forecasting seasonal precipitation for drought management. Machine Learning Science and Technology. 6(2). 25019–25019. 1 indexed citations
3.
Kumar, Vipin, et al.. (2023). Cover crop termination options and application of remote sensing for evaluating termination efficiency. PLoS ONE. 18(4). e0284529–e0284529. 7 indexed citations
4.
Zhang, Qiang, et al.. (2023). Evaluation of Urban Resilience of China’s Three Major Urban Agglomerations Using Complex Adaptive System Theory. Sustainability. 15(19). 14537–14537. 1 indexed citations
5.
Mishra, S. K., et al.. (2023). Identifying and prioritizing erosion-prone areas at the subbasin level of the Tekeze watershed, Ethiopia. International Journal of Environmental Science and Technology. 21(1). 387–398. 3 indexed citations
6.
Singh, Vijay P., et al.. (2021). Experimental Investigation of Scouring in Groups of Parallel Pipelines. 10(2). 27–34. 3 indexed citations
7.
Singh, Vijay P., et al.. (2021). Control of Scouring Under Marine Pipelines Using Horizontal or Vertical Plates. 11(2). 46–50. 1 indexed citations
8.
Ghorbani, Mohammad Ali, Rahman Khatibi, Vijay P. Singh, et al.. (2020). Continuous monitoring of suspended sediment concentrations using image analytics and deriving inherent correlations by machine learning. Scientific Reports. 10(1). 8589–8589. 21 indexed citations
9.
Wang, Dong, Vijay P. Singh, Yuankun Wang, et al.. (2019). Developing a dual entropy-transinformation criterion for hydrometric network optimization based on information theory and copulas. Environmental Research. 180. 108813–108813. 9 indexed citations
10.
Eslamian, Saeid, et al.. (2019). Decreasing the Number of Coliforms of Wastewater Treatment Plants using Sand Filtration Together with Four-Seed Powder. International Journal of Research Studies in Agricultural Sciences. 5(3). 36–40. 3 indexed citations
11.
Singh, Vijay P., et al.. (2019). First report of red vegetable mite, Tetranychus neocaledonicus Andre (Acari: Tetranychidae) on apple (Malus domestica Borkh) from India. Journal of Entomology and Zoology Studies. 7(4). 436–438.
12.
Silva, Yuri Jacques Agra Bezerra da, Yuri Jacques Agra Bezerra da Silva, José Ramon Barros Cantalice, et al.. (2017). Bedload as an indicator of heavy metal contamination in a Brazilian anthropized watershed. CATENA. 153. 106–113. 26 indexed citations
13.
Afzalimehr, Hossein, et al.. (2015). Experimental Investigation of Influence of Vegetation on Flow Turbulence. OakTrust (Texas A&M University Libraries). 4(3). 54–69. 4 indexed citations
14.
Afzalimehr, Hossein, et al.. (2015). Evaluation of Bed Load in a Gravel-Bed River. OakTrust (Texas A&M University Libraries). 4(3). 70–79. 8 indexed citations
15.
Afzalimehr, Hossein, et al.. (2015). Prediction of Flow Velocity Near Inclined Surfaces with Varying Roughness. 4(1). 1–9. 2 indexed citations
16.
Afzalimehr, Hossein, et al.. (2014). Contribution of Form Friction to Total Friction Factor. 3(3). 77–84. 2 indexed citations
17.
Afzalimehr, Hossein, et al.. (2014). Empirical Bed Load Transport Equations. OakTrust (Texas A&M University Libraries). 3(3). 93–101. 5 indexed citations
18.
Singh, Vijay P., et al.. (2002). Feeding Potential of Pod Bruchid, Caryedon serratus Olivier (Bruchidae: Coleoptera) on Stored Groundnut. Indian journal of plant protection. 30(2). 177–179. 3 indexed citations
19.
Singh, Vijay P., et al.. (2002). INVESTIGATION OF THE MEANDER PLANFORM DEVELOPMENT IN A LABORATORY CHANNEL. 3(3). 177–193. 2 indexed citations
20.
Cruise, J. F., et al.. (1992). PROBABILISTIC APPROACH TO LOCAL BRIDGE PIER SCOUR. Transportation Research Record Journal of the Transportation Research Board. 10 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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