Rituraj Shukla

496 total citations
33 papers, 379 citations indexed

About

Rituraj Shukla is a scholar working on Water Science and Technology, Environmental Chemistry and Global and Planetary Change. According to data from OpenAlex, Rituraj Shukla has authored 33 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Water Science and Technology, 12 papers in Environmental Chemistry and 12 papers in Global and Planetary Change. Recurrent topics in Rituraj Shukla's work include Hydrology and Watershed Management Studies (20 papers), Soil and Water Nutrient Dynamics (12 papers) and Soil erosion and sediment transport (11 papers). Rituraj Shukla is often cited by papers focused on Hydrology and Watershed Management Studies (20 papers), Soil and Water Nutrient Dynamics (12 papers) and Soil erosion and sediment transport (11 papers). Rituraj Shukla collaborates with scholars based in Canada, India and United States. Rituraj Shukla's co-authors include Ramesh Rudra, Prasad Daggupati, Deepak Khare, Pradeep Goel, Narayan Kumar Shrestha, P. K. Mishra, Sananda Kundu, Arun Mondal, Bin-Bin Zhang and Asim Biswas and has published in prestigious journals such as Journal of Environmental Management, Sustainability and CATENA.

In The Last Decade

Rituraj Shukla

29 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rituraj Shukla Canada 11 263 154 107 92 78 33 379
Priyantha Jayakody United States 11 331 1.3× 195 1.3× 76 0.7× 97 1.1× 84 1.1× 20 450
Moges B. Wagena United States 9 245 0.9× 143 0.9× 60 0.6× 117 1.3× 110 1.4× 10 368
Jiangkun Zheng China 11 181 0.7× 251 1.6× 96 0.9× 81 0.9× 33 0.4× 20 409
Youn Shik Park South Korea 12 383 1.5× 168 1.1× 170 1.6× 164 1.8× 121 1.6× 62 484
Renhua Yan China 13 307 1.2× 163 1.1× 70 0.7× 71 0.8× 166 2.1× 27 451
David G. Lounsbury United States 7 314 1.2× 279 1.8× 72 0.7× 80 0.9× 96 1.2× 7 482
Bhumika Uniyal Germany 12 399 1.5× 307 2.0× 95 0.9× 196 2.1× 65 0.8× 20 535
Samira Akhavan Iran 10 242 0.9× 194 1.3× 90 0.8× 167 1.8× 61 0.8× 27 445
Pierre Queloz Switzerland 9 208 0.8× 211 1.4× 71 0.7× 105 1.1× 39 0.5× 11 357
Antonio Sastre‐Merlín Spain 10 296 1.1× 164 1.1× 89 0.8× 120 1.3× 112 1.4× 18 462

Countries citing papers authored by Rituraj Shukla

Since Specialization
Citations

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

Fields of papers citing papers by Rituraj Shukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rituraj Shukla

This figure shows the co-authorship network connecting the top 25 collaborators of Rituraj Shukla. A scholar is included among the top collaborators of Rituraj Shukla 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 Rituraj Shukla. Rituraj Shukla 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.
Dhiman, Jaskaran, Ramesh Rudra, Prasad Daggupati, et al.. (2024). Evaluation of Winter Hydrology Performance of Three Field-Scale Models. Journal of the ASABE. 67(3). 809–822. 1 indexed citations
2.
Shukla, Rituraj, Ramesh Rudra, Prasad Daggupati, et al.. (2024). Evaluation of BMPs in Flatland Watershed with Pumped Outlet. Hydrology. 11(2). 22–22.
3.
Mohebzadeh, Hamid, Asim Biswas, Ben DeVries, et al.. (2024). Evaluation of the impact of best management practices on ephemeral gully and sheet/rill erosion using the AnnAGNPS model. CATENA. 246. 108436–108436. 4 indexed citations
4.
Shukla, Rituraj, et al.. (2023). Assessing the Impact of BMPs on Water Quality and Quantity in a Flat Agricultural Watershed in Southern Ontario. Resources. 12(12). 142–142. 3 indexed citations
5.
Shukla, Rituraj, Deepak Khare, Ramesh Rudra, et al.. (2023). Evaluation of statistical downscaling model's performance in projecting future climate change scenarios. Journal of Water and Climate Change. 14(10). 3559–3595. 8 indexed citations
6.
Shukla, Rituraj, et al.. (2023). Effect of Temperature on Frost-Free Days and Length of Crop Growing Season across Southern Ontario. American Journal of Climate Change. 12(4). 700–718.
7.
Kumar, Amit, Santosh S. Palmate, & Rituraj Shukla. (2022). Water Quality Modelling, Monitoring, and Mitigation. Applied Sciences. 12(22). 11403–11403. 17 indexed citations
8.
Rudra, Ramesh, Pradeep Goel, Prasad Daggupati, et al.. (2020). Mapping runoff generating areas using AGNPS-VSA model. Hydrological Sciences Journal. 65(13). 2224–2232. 6 indexed citations
9.
Shrestha, Narayan Kumar, Taimoor Akhtar, Ramesh Rudra, et al.. (2020). Can-GLWS: Canadian Great Lakes Weather Service for the Soil and Water Assessment Tool (SWAT) modelling. Journal of Great Lakes Research. 47(1). 242–251. 7 indexed citations
10.
Shrestha, Narayan Kumar, Ramesh Rudra, Prasad Daggupati, Pradeep Goel, & Rituraj Shukla. (2020). A comparative evaluation of the continuous and event-based modelling approaches for identifying critical source areas for sediment and phosphorus losses. Journal of Environmental Management. 277. 111427–111427. 26 indexed citations
11.
Rudra, Ramesh, et al.. (2019). CoBAGNPS: A toolbox for simulating water and sediment control basin, WASCoB through AGNPS model. CATENA. 179. 49–65. 9 indexed citations
12.
Shrestha, Narayan Kumar, et al.. (2019). Water Security Assessment of the Grand River Watershed in Southwestern Ontario, Canada. Sustainability. 11(7). 1883–1883. 28 indexed citations
13.
Rudra, Ramesh, et al.. (2018). Development and Field Evaluation of a Low-Cost Wireless Sensor Network System for Hydrological Monitoring of a Small Agricultural Watershed. Open Journal of Civil Engineering. 8(2). 166–182. 9 indexed citations
14.
15.
Daggupati, Prasad, Rituraj Shukla, Ramesh Rudra, et al.. (2018). Hydrological Responses to Various Land Use, Soil and Weather Inputs in Northern Lake Erie Basin in Canada. Water. 10(2). 222–222. 21 indexed citations
16.
Rudra, Ramesh, Bahram Gharabaghi, Prasad Daggupati, et al.. (2018). CoBAGNPS: A Toolbox to Estimate Sediment Removal Efficiency of WASCoBs–Pipe Risers and Blind Inlets. Environment and Natural Resources Research. 8(3). 84–84. 1 indexed citations
17.
Golmohammadi, Golmar, Shiv O. Prasher, Ramesh Rudra, et al.. (2017). Determination of BMPs to reduce soil and water pollution in tile-drained watersheds in Southern Ontario, Canada under changing climate. 1 indexed citations
18.
19.
Shukla, Rituraj, et al.. (2011). Rural Towns - Liquid Assets: Analysis using water balance modelling for water resources availability for rural towns in Western Australia. Victoria University Research Repository (Victoria University). 2 indexed citations
20.
Srivastava, R. K. & Rituraj Shukla. (2009). Probabilistic approach of rainfall data for irrigation planning.. Research on Crops. 10(2). 448–452. 1 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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