Roshan Srivastav

727 total citations
25 papers, 575 citations indexed

About

Roshan Srivastav is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Roshan Srivastav has authored 25 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Global and Planetary Change, 11 papers in Water Science and Technology and 9 papers in Atmospheric Science. Recurrent topics in Roshan Srivastav's work include Climate variability and models (12 papers), Hydrology and Drought Analysis (10 papers) and Hydrology and Watershed Management Studies (9 papers). Roshan Srivastav is often cited by papers focused on Climate variability and models (12 papers), Hydrology and Drought Analysis (10 papers) and Hydrology and Watershed Management Studies (9 papers). Roshan Srivastav collaborates with scholars based in India, Canada and United States. Roshan Srivastav's co-authors include Slobodan P. Simonović, André Schardong, K. P. Sudheer, Indrajeet Chaubey, Gloria Pignatta, K. Srinivasan, Donald H. Burn and Ankur Srivastava and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and Journal of Hydrology.

In The Last Decade

Roshan Srivastav

24 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roshan Srivastav India 12 416 250 194 149 51 25 575
Yintang Wang China 12 312 0.8× 204 0.8× 135 0.7× 240 1.6× 38 0.7× 50 567
Miyuru B. Gunathilake Sri Lanka 14 300 0.7× 242 1.0× 155 0.8× 101 0.7× 32 0.6× 41 475
Faisal Baig United Arab Emirates 15 333 0.8× 175 0.7× 150 0.8× 110 0.7× 38 0.7× 36 513
Pham Thi Thao Nhi Vietnam 11 402 1.0× 374 1.5× 239 1.2× 91 0.6× 29 0.6× 19 624
Muhammad Zia ur Rahman Hashmi Pakistan 12 315 0.8× 180 0.7× 120 0.6× 190 1.3× 29 0.6× 14 468
Mustafa Al-Mukhtar Iraq 13 228 0.5× 307 1.2× 264 1.4× 75 0.5× 42 0.8× 30 559
Aiqing Kang China 11 276 0.7× 205 0.8× 174 0.9× 58 0.4× 51 1.0× 26 454
Huicheng Zhou China 10 233 0.6× 183 0.7× 159 0.8× 88 0.6× 64 1.3× 32 394
Ahmed M. Al‐Areeq Saudi Arabia 14 278 0.7× 217 0.9× 208 1.1× 100 0.7× 29 0.6× 39 491
Yingdong Yu China 11 225 0.5× 129 0.5× 130 0.7× 79 0.5× 25 0.5× 28 395

Countries citing papers authored by Roshan Srivastav

Since Specialization
Citations

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

Fields of papers citing papers by Roshan Srivastav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roshan Srivastav

This figure shows the co-authorship network connecting the top 25 collaborators of Roshan Srivastav. A scholar is included among the top collaborators of Roshan Srivastav 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 Roshan Srivastav. Roshan Srivastav 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.
Srivastav, Roshan, et al.. (2023). Multiscale Variability of Hydrological Responses in Urbanizing Watershed. Remote Sensing. 15(3). 796–796. 6 indexed citations
2.
Srivastav, Roshan, et al.. (2023). Non-linear granger causality approach for non-stationary modelling of extreme precipitation. Stochastic Environmental Research and Risk Assessment. 37(10). 3747–3761. 1 indexed citations
3.
Srivastav, Roshan, et al.. (2023). Multimodel classification and regression technique for the statistical downscaling of temperature. Stochastic Environmental Research and Risk Assessment. 37(10). 3707–3729. 6 indexed citations
4.
Srivastav, Roshan, et al.. (2022). Regional non-stationary future extreme rainfall under changing climate over Asian Monsoon Region. Atmospheric Research. 284. 106592–106592. 9 indexed citations
5.
Srivastav, Roshan, et al.. (2022). Non-stationary modelling framework for regionalization of extreme precipitation using non-uniform lagged teleconnections over monsoon Asia. Stochastic Environmental Research and Risk Assessment. 36(10). 3577–3595. 5 indexed citations
6.
Srivastav, Roshan, et al.. (2022). Spatial multivariate selection of climate indices for precipitation over India. Environmental Research Letters. 17(9). 94014–94014. 9 indexed citations
7.
Srivastav, Roshan, et al.. (2022). Assessing the effect of covid-19 lockdown on surface urban heat island for different land use /cover types using remote sensing. SHILAP Revista de lepidopterología. 5. 100056–100056. 22 indexed citations
8.
Srivastav, Roshan, et al.. (2020). Indicative Lake Water Quality Assessment Using Remote Sensing Images-Effect of COVID-19 Lockdown. Water. 13(1). 73–73. 26 indexed citations
9.
Simonović, Slobodan P., et al.. (2020). Role of Cluster Validity Indices in Delineation of Precipitation Regions. Water. 12(5). 1372–1372. 7 indexed citations
10.
Simonović, Slobodan P., et al.. (2016). A web-based tool for the development of Intensity Duration Frequency curves under changing climate. Environmental Modelling & Software. 81. 136–153. 73 indexed citations
11.
Srivastav, Roshan, et al.. (2016). Delineation of precipitation regions using location and atmospheric variables in two Canadian climate regions: the role of attribute selection. Hydrological Sciences Journal. 62(2). 191–204. 8 indexed citations
12.
Srivastav, Roshan, et al.. (2016). Use of beta regression for statistical downscaling of precipitation in the Campbell River basin, British Columbia, Canada. Journal of Hydrology. 538. 49–62. 39 indexed citations
13.
14.
Schardong, André, Roshan Srivastav, & Slobodan P. Simonović. (2014). Atualização da equação intensidade-duração-frequência para a cidade de são paulo sob efeito de mudanças climáticas. Revista Brasileira de Recursos Hídricos. 19(4). 176–185. 5 indexed citations
15.
Srivastav, Roshan & Slobodan P. Simonović. (2014). An analytical procedure for multi-site, multi-season streamflow generation using maximum entropy bootstrapping. Environmental Modelling & Software. 59. 59–75. 37 indexed citations
16.
Srivastav, Roshan & Slobodan P. Simonović. (2014). Multi-site, multivariate weather generator using maximum entropy bootstrap. Climate Dynamics. 44(11-12). 3431–3448. 31 indexed citations
17.
Srivastav, Roshan, et al.. (2013). Streamflow Decomposition Based Integrated ANN Model. 3(1). 15–19. 1 indexed citations
18.
Srivastav, Roshan, et al.. (2012). Dual Artificial Neural Network for Rainfall-Runoff Forecasting. Journal of Water Resource and Protection. 4(12). 1024–1028. 15 indexed citations
19.
Srivastav, Roshan, K. Srinivasan, & K. P. Sudheer. (2011). Simulation–optimization framework for multi-season hybrid stochastic models. Journal of Hydrology. 404(3-4). 209–225. 11 indexed citations
20.
Srivastav, Roshan, K. P. Sudheer, & Indrajeet Chaubey. (2007). A simplified approach to quantifying predictive and parametric uncertainty in artificial neural network hydrologic models. Water Resources Research. 43(10). 95 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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