Pushpa Tuppad

880 total citations
22 papers, 734 citations indexed

About

Pushpa Tuppad is a scholar working on Water Science and Technology, Environmental Chemistry and Environmental Engineering. According to data from OpenAlex, Pushpa Tuppad has authored 22 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Water Science and Technology, 12 papers in Environmental Chemistry and 8 papers in Environmental Engineering. Recurrent topics in Pushpa Tuppad's work include Hydrology and Watershed Management Studies (16 papers), Soil and Water Nutrient Dynamics (12 papers) and Hydrological Forecasting Using AI (4 papers). Pushpa Tuppad is often cited by papers focused on Hydrology and Watershed Management Studies (16 papers), Soil and Water Nutrient Dynamics (12 papers) and Hydrological Forecasting Using AI (4 papers). Pushpa Tuppad collaborates with scholars based in India, United States and South Korea. Pushpa Tuppad's co-authors include Raghavan Srinivasan, Jeffrey G. Arnold, C. Santhi, Ranjan S. Muttiah, Peter M. Allen, Kyle R. Douglas‐Mankin, Narayanan Kannan, Jacqueline Williams, Prasanna H. Gowda and J. R. Williams and has published in prestigious journals such as Journal of Hydrology, Environmental Monitoring and Assessment and JAWRA Journal of the American Water Resources Association.

In The Last Decade

Pushpa Tuppad

20 papers receiving 696 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pushpa Tuppad India 11 656 270 258 205 203 22 734
Maitreyee Bera United States 8 810 1.2× 420 1.6× 308 1.2× 274 1.3× 271 1.3× 21 906
P Gerard-Marchant United States 11 637 1.0× 330 1.2× 269 1.0× 288 1.4× 325 1.6× 16 899
Hendrik Rathjens United States 13 814 1.2× 164 0.6× 486 1.9× 291 1.4× 201 1.0× 27 937
Charlotta Pers Sweden 12 540 0.8× 333 1.2× 275 1.1× 162 0.8× 66 0.3× 26 790
Rosemary M. Records United States 8 433 0.7× 149 0.6× 179 0.7× 224 1.1× 83 0.4× 9 559
Johannes Deelstra Norway 15 498 0.8× 441 1.6× 125 0.5× 127 0.6× 204 1.0× 37 768
Xiaofei Nie China 11 343 0.5× 180 0.7× 118 0.5× 126 0.6× 184 0.9× 22 543
R.M. Slade United States 8 509 0.8× 247 0.9× 175 0.7× 241 1.2× 110 0.5× 24 618
Zhenxu Tang United States 4 424 0.6× 105 0.4× 200 0.8× 217 1.1× 193 1.0× 9 558
D. I. Müller-Wohlfeil Germany 7 475 0.7× 158 0.6× 279 1.1× 93 0.5× 83 0.4× 12 545

Countries citing papers authored by Pushpa Tuppad

Since Specialization
Citations

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

Fields of papers citing papers by Pushpa Tuppad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pushpa Tuppad

This figure shows the co-authorship network connecting the top 25 collaborators of Pushpa Tuppad. A scholar is included among the top collaborators of Pushpa Tuppad 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 Pushpa Tuppad. Pushpa Tuppad 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.
2.
Srinath, S, et al.. (2025). Advanced temporal deep learning framework for enhanced predictive modeling in industrial treatment systems. Results in Engineering. 25. 104158–104158. 6 indexed citations
3.
Srinath, S, et al.. (2024). Hybrid modeling techniques for predicting chemical oxygen demand in wastewater treatment: a stacking ensemble learning approach with neural networks. Environmental Monitoring and Assessment. 196(12). 1259–1259. 2 indexed citations
4.
Srinath, S, et al.. (2024). Comprehensive analysis of multiple classifiers for enhanced river water quality monitoring with explainable AI. Case Studies in Chemical and Environmental Engineering. 10. 100822–100822. 9 indexed citations
5.
Tuppad, Pushpa, et al.. (2021). Estimation of Hydrologic Simulation in Upstream of KRS Reservoir using SWAT Model. IOP Conference Series Earth and Environmental Science. 822(1). 12031–12031.
6.
Lee, Taesoo, Xiuying Wang, Michael J. White, et al.. (2015). Modeling Water-Quality Loads to the Reservoirs of the Upper Trinity River Basin, Texas, USA. Water. 7(10). 5689–5704. 8 indexed citations
7.
Johnson, Thomas E., Jonathan Butcher, Paul R. Hummel, et al.. (2015). Modeling Streamflow and Water Quality Sensitivity to Climate Change and Urban Development in 20 U.S. Watersheds. JAWRA Journal of the American Water Resources Association. 51(5). 1321–1341. 52 indexed citations
8.
White, Michael J., et al.. (2013). Simulating sediment loading into the major reservoirs in Trinity River Basin. Journal of Soil and Water Conservation. 68(5). 372–383. 5 indexed citations
9.
Tuppad, Pushpa, et al.. (2011). Soil and Water Assessment Tool (SWAT) Hydrologic/Water Quality Model: Extended Capability and Wider Adoption. Transactions of the ASABE. 54(5). 1677–1684. 148 indexed citations
10.
Tuppad, Pushpa, et al.. (2010). Simulation of Conservation Practices Using the APEX Model. Applied Engineering in Agriculture. 26(5). 779–794. 45 indexed citations
11.
Li, Lanying, Michael W. White, Taesoo Lee, et al.. (2010). Trinity River Basin Environmental Restoration Initiative 2010. The Portal to Texas History (University of North Texas). 1 indexed citations
12.
Tuppad, Pushpa, Kyle R. Douglas‐Mankin, J. K. Koelliker, & J. M. Shawn Hutchinson. (2010). SWAT Discharge Response to Spatial Rainfall Variability in a Kansas Watershed. Transactions of the ASABE. 53(1). 65–74. 11 indexed citations
13.
Tuppad, Pushpa, Kyle R. Douglas‐Mankin, J. K. Koelliker, J. M. Shawn Hutchinson, & Mary Knapp. (2010). NEXRAD Stage III Precipitation Local Bias Adjustment for Streamflow Prediction. Transactions of the ASABE. 53(5). 1511–1520. 10 indexed citations
14.
Tuppad, Pushpa, et al.. (2010). Simulation of Agricultural Management Alternatives for Watershed Protection. Water Resources Management. 24(12). 3115–3144. 124 indexed citations
15.
Tuppad, Pushpa, C. Santhi, & Raghavan Srinivasan. (2009). Assessing BMP effectiveness: multiprocedure analysis of observed water quality data. Environmental Monitoring and Assessment. 170(1-4). 315–329. 19 indexed citations
16.
Tuppad, Pushpa, et al.. (2009). ARCAPEX: ARCGIS INTERFACE FOR AGRICULTURAL POLICY ENVIRONMENTAL EXTENDER (APEX) HYDROLOGY/WATER QUALITY MODEL. 18. 59–71. 34 indexed citations
17.
Santhi, C., Peter M. Allen, Ranjan S. Muttiah, Jeffrey G. Arnold, & Pushpa Tuppad. (2008). Regional estimation of base flow for the conterminous United States by hydrologic landscape regions. Journal of Hydrology. 351(1-2). 139–153. 197 indexed citations
18.
Maski, Devanand, Kyle R. Mankin, Keith A. Janssen, Pushpa Tuppad, & Gary M. Pierzynski. (2008). Modeling runoff and sediment yields from combined in-field crop practices using the Soil and Water Assessment Tool. Journal of Soil and Water Conservation. 63(4). 193–203. 21 indexed citations
19.
Tuppad, Pushpa & Raghavan Srinivasan. (2008). Bosque River Environmental Infrastructure Improvement Plan: Phase II BMP Modeling Report. OakTrust (Texas A&M University Libraries). 20 indexed citations
20.
Mankin, Kyle R., Pushpa Tuppad, Daniel L. Devlin, Kent McVay, & W. L. Hargrove. (2005). Strategic Targeting Of Watershed ManagementUsing Water Quality Modelling. WIT Transactions on Ecology and the Environment. 83. 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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