Prasad Daggupati

3.7k total citations
106 papers, 2.7k citations indexed

About

Prasad Daggupati is a scholar working on Water Science and Technology, Soil Science and Environmental Chemistry. According to data from OpenAlex, Prasad Daggupati has authored 106 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Water Science and Technology, 43 papers in Soil Science and 39 papers in Environmental Chemistry. Recurrent topics in Prasad Daggupati's work include Hydrology and Watershed Management Studies (73 papers), Soil and Water Nutrient Dynamics (38 papers) and Soil erosion and sediment transport (38 papers). Prasad Daggupati is often cited by papers focused on Hydrology and Watershed Management Studies (73 papers), Soil and Water Nutrient Dynamics (38 papers) and Soil erosion and sediment transport (38 papers). Prasad Daggupati collaborates with scholars based in Canada, United States and Iran. Prasad Daggupati's co-authors include Raghavan Srinivasan, Kyle R. Douglas‐Mankin, Asim Biswas, Yihun T. Dile, Aleksey Y. Sheshukov, Ramesh Rudra, Narayan Kumar Shrestha, Khabat Khosravi, Jeffrey G. Arnold and Haw Yen and has published in prestigious journals such as The Science of The Total Environment, Journal of Hydrology and Journal of Environmental Management.

In The Last Decade

Prasad Daggupati

97 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prasad Daggupati Canada 29 1.9k 1.3k 807 673 562 106 2.7k
Puneet Srivastava United States 27 1.4k 0.7× 989 0.8× 662 0.8× 523 0.8× 548 1.0× 123 2.4k
Latif Kalin United States 27 1.9k 1.0× 1.3k 1.0× 1.1k 1.4× 437 0.6× 514 0.9× 109 2.8k
Saeid Ashraf Vaghefi Switzerland 14 2.2k 1.2× 1.6k 1.3× 731 0.9× 446 0.7× 294 0.5× 34 2.9k
Narayanan Kannan United States 21 3.5k 1.8× 2.0k 1.6× 1.2k 1.5× 984 1.5× 925 1.6× 60 4.0k
Zachary M. Easton United States 36 2.7k 1.4× 1.4k 1.1× 1.0k 1.3× 1.3k 1.9× 1.5k 2.6× 108 4.1k
H.‐G. Frede Germany 24 1.3k 0.7× 960 0.8× 553 0.7× 626 0.9× 343 0.6× 54 2.1k
Erin Brooks United States 27 1.4k 0.7× 802 0.6× 574 0.7× 809 1.2× 505 0.9× 93 2.3k
Glenn E. Moglen United States 31 1.6k 0.8× 1.4k 1.1× 886 1.1× 429 0.6× 219 0.4× 95 2.7k
Fred F. Hattermann Germany 37 2.7k 1.4× 2.5k 2.0× 506 0.6× 326 0.5× 467 0.8× 121 4.0k
Roger Moussa France 30 1.7k 0.9× 1.3k 1.0× 671 0.8× 671 1.0× 161 0.3× 91 2.5k

Countries citing papers authored by Prasad Daggupati

Since Specialization
Citations

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

Fields of papers citing papers by Prasad Daggupati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prasad Daggupati

This figure shows the co-authorship network connecting the top 25 collaborators of Prasad Daggupati. A scholar is included among the top collaborators of Prasad Daggupati 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 Prasad Daggupati. Prasad Daggupati 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.
Bodrud-Doza, Md., et al.. (2025). Evaluating best management practices for nutrient load reductions in tile-drained watersheds of the Laurentian Great Lakes Basin: A literature review. The Science of The Total Environment. 965. 178657–178657. 2 indexed citations
2.
Scott, Stacey D., Maja Kržić, Prasad Daggupati, et al.. (2025). Deep metric learning for soil organic matter prediction: A novel similarity-based approach using smartphone-captured images. Computers and Electronics in Agriculture. 237. 110728–110728.
3.
Kržić, Maja, et al.. (2025). Optimizing image-based soil organic matter prediction: Effects of illumination type and intensity. Smart Agricultural Technology. 11. 100922–100922.
4.
Mohebzadeh, Hamid, Asim Biswas, Ben DeVries, et al.. (2025). Integrating genetic algorithm with AnnAGNPS for optimizing BMPs placement to reduce sheet/rill and ephemeral gully erosion. Soil and Tillage Research. 252. 106598–106598.
5.
Fathololoumi, Solmaz, Hiteshkumar B. Vasava, Daniel D. Saurette, Prasad Daggupati, & Asim Biswas. (2024). Enhanced ephemeral gully mapping through multi-classifier integration and spectral feature analysis. CATENA. 248. 108590–108590. 4 indexed citations
6.
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
7.
Shukla, Rituraj, Ramesh Rudra, Prasad Daggupati, et al.. (2024). Evaluation of BMPs in Flatland Watershed with Pumped Outlet. Hydrology. 11(2). 22–22.
8.
Mohebzadeh, Hamid, et al.. (2021). Spatiotemporal imputation of MODIS land surface temperature using machine learning techniques (Case study: New Mexico's Lower Rio Grande Valley). Remote Sensing Applications Society and Environment. 24. 100651–100651. 6 indexed citations
9.
Mohebzadeh, Hamid, et al.. (2021). A machine learning approach for spatiotemporal imputation of MODIS chlorophyll-a. International Journal of Remote Sensing. 42(19). 7381–7404. 11 indexed citations
10.
Liu, Yongbo, et al.. (2021). Flood Risk Management with Transboundary Conflict and Cooperation Dynamics in the Kabul River Basin. Water. 13(11). 1513–1513. 24 indexed citations
11.
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
12.
Douglas‐Mankin, Kyle R., Swapan Kumar Roy, Aleksey Y. Sheshukov, et al.. (2020). A comprehensive review of ephemeral gully erosion models. CATENA. 195. 104901–104901. 34 indexed citations
13.
Aloysius, Noel, Haw Yen, Jeffrey G. Arnold, et al.. (2020). Forecasting the combined effects of anticipated climate change and agricultural conservation practices on fish recruitment dynamics in Lake Erie. Freshwater Biology. 65(9). 1487–1508. 16 indexed citations
14.
Yen, Haw, Seonggyu Park, Jeffrey G. Arnold, et al.. (2019). IPEAT+: A Built-In Optimization and Automatic Calibration Tool of SWAT+. Water. 11(8). 1681–1681. 44 indexed citations
15.
Khosravi, Khabat, Himan Shahabi, Prasad Daggupati, et al.. (2019). Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model. Remote Sensing. 11(13). 1589–1589. 152 indexed citations
16.
Yuan, Yongping, Ruoyu Wang, Ellen J. Cooter, et al.. (2018). Integrating Multi-Media Models to Assess Nitrogen Losses from the Mississippi River Basin to the Gulf of Mexico. Biogeosciences (European Geosciences Union). 1 indexed citations
17.
Yuan, Yongping, Ruoyu Wang, Ellen J. Cooter, et al.. (2018). Integrating multimedia models to assess nitrogen losses from the Mississippi River basin to the Gulf of Mexico. Biogeosciences. 15(23). 7059–7076. 29 indexed citations
18.
Daggupati, Prasad, et al.. (2018). Simulating Ephemeral Gully Erosion Using AnnAGNPS in Agricultural Fields of Southern Ontario, Canada. EGUGA. 13703. 1 indexed citations
19.
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
20.
Sheshukov, Aleksey Y., et al.. (2015). Pasture BMP effectiveness using an HRU-based subarea approach in SWAT. Journal of Environmental Management. 166. 276–284. 23 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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