World's Best Scientists 2026 revealed!
Prasad Daggupati

Prasad Daggupati

D-Index & Metrics

Ecology and Evolution

D-Index
33
Citations
3821
World Ranking
7915
National Ranking
486

Prasad Daggupati publication distribution in Ecology and Evolution in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Ecology and Evolution in 2026. The highlighted bar marks where Prasad Daggupati sits on this spectrum.

37–41 publications: 2 scientists 42–46 publications: 9 scientists 47–51 publications: 10 scientists 52–56 publications: 31 scientists 57–61 publications: 56 scientists 62–66 publications: 91 scientists 67–71 publications: 92 scientists 72–76 publications: 127 scientists 77–81 publications: 173 scientists 82–86 publications: 236 scientists 87–91 publications: 227 scientists 92–96 publications: 240 scientists 97–101 publications: 333 scientists 102–106 publications: 280 scientists 107–111 publications: 300 scientists 112–116 publications: 285 scientists 117–121 publications: 305 scientists 122–126 publications: 287 scientists 127–131 publications: 278 scientists 132–136 publications: 289 scientists 137–141 publications: 273 scientists 142–146 publications: 262 scientists 147–151 publications: 246 scientists 152–156 publications: 235 scientists 157–161 publications: 205 scientists 162–166 publications: 199 scientists 167–171 publications: 174 scientists 172–176 publications: 164 scientists 177–181 publications: 173 scientists 182–186 publications: 189 scientists 187–191 publications: 170 scientists 192–196 publications: 139 scientists 197–201 publications: 128 scientists 202–206 publications: 117 scientists 207–211 publications: 115 scientists 212–216 publications: 107 scientists 217–221 publications: 124 scientists 222–226 publications: 81 scientists 227–231 publications: 82 scientists 232–236 publications: 85 scientists 237–241 publications: 75 scientists 242–246 publications: 66 scientists 247–251 publications: 81 scientists 252–256 publications: 69 scientists 257–261 publications: 70 scientists 262–266 publications: 55 scientists 267–271 publications: 64 scientists 272–276 publications: 49 scientists 277–281 publications: 48 scientists 282–286 publications: 44 scientists 287–291 publications: 45 scientists 292–296 publications: 36 scientists 297–301 publications: 39 scientists 302–306 publications: 38 scientists 307–311 publications: 30 scientists 312–316 publications: 34 scientists 317–321 publications: 25 scientists 322–326 publications: 22 scientists 327–331 publications: 28 scientists 332–336 publications: 30 scientists 337–341 publications: 22 scientists 342–346 publications: 30 scientists 347–351 publications: 26 scientists 352–356 publications: 22 scientists 357–361 publications: 29 scientists 362–366 publications: 21 scientists 367–371 publications: 12 scientists 372–376 publications: 18 scientists 377–381 publications: 17 scientists 382–386 publications: 13 scientists 387–391 publications: 21 scientists 392–396 publications: 13 scientists 397–401 publications: 10 scientists 402–406 publications: 15 scientists 407–411 publications: 8 scientists 412–416 publications: 9 scientists 417–421 publications: 8 scientists 422–426 publications: 4 scientists 427–431 publications: 10 scientists 432–436 publications: 10 scientists 437–441 publications: 5 scientists 442–446 publications: 4 scientists 447–451 publications: 10 scientists 452–456 publications: 2 scientists 457–461 publications: 4 scientists 462–466 publications: 7 scientists 467–471 publications: 7 scientists 472–476 publications: 6 scientists 477–481 publications: 6 scientists 482–486 publications: 3 scientists 487–491 publications: 3 scientists 492–496 publications: 4 scientists 497–501 publications: 4 scientists 502–506 publications: 8 scientists 507–511 publications: 5 scientists 512–516 publications: 4 scientists 517–521 publications: 5 scientists 522–526 publications: 4 scientists 527–530 publications: 5 scientists 531+ publications: 100 scientists
37 publications 531+

This scientist: 110 publications — 25th percentile

25% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 531 publications or more.

Prasad Daggupati D-index placement in Ecology and Evolution in 2026

The chart shows the D-index (discipline H-index) distribution of Ecology and Evolution scientists ranked by Research.com in 2026. The highlighted bar marks where Prasad Daggupati sits on this spectrum.

30 D-Index: 95 scientists 31 D-Index: 123 scientists 32 D-Index: 191 scientists 33 D-Index: 245 scientists 34 D-Index: 252 scientists 35 D-Index: 244 scientists 36 D-Index: 249 scientists 37 D-Index: 244 scientists 38 D-Index: 254 scientists 39 D-Index: 254 scientists 40 D-Index: 280 scientists 41 D-Index: 274 scientists 42 D-Index: 266 scientists 43 D-Index: 233 scientists 44 D-Index: 248 scientists 45 D-Index: 208 scientists 46 D-Index: 201 scientists 47 D-Index: 213 scientists 48 D-Index: 207 scientists 49 D-Index: 172 scientists 50 D-Index: 209 scientists 51 D-Index: 199 scientists 52 D-Index: 153 scientists 53 D-Index: 169 scientists 54 D-Index: 163 scientists 55 D-Index: 148 scientists 56 D-Index: 120 scientists 57 D-Index: 146 scientists 58 D-Index: 137 scientists 59 D-Index: 140 scientists 60 D-Index: 104 scientists 61 D-Index: 119 scientists 62 D-Index: 118 scientists 63 D-Index: 99 scientists 64 D-Index: 77 scientists 65 D-Index: 100 scientists 66 D-Index: 86 scientists 67 D-Index: 83 scientists 68 D-Index: 75 scientists 69 D-Index: 94 scientists 70 D-Index: 57 scientists 71 D-Index: 68 scientists 72 D-Index: 59 scientists 73 D-Index: 63 scientists 74 D-Index: 66 scientists 75 D-Index: 60 scientists 76 D-Index: 42 scientists 77 D-Index: 49 scientists 78 D-Index: 39 scientists 79 D-Index: 37 scientists 80 D-Index: 43 scientists 81 D-Index: 41 scientists 82 D-Index: 45 scientists 83 D-Index: 34 scientists 84 D-Index: 40 scientists 85 D-Index: 35 scientists 86 D-Index: 55 scientists 87 D-Index: 24 scientists 88 D-Index: 24 scientists 89 D-Index: 30 scientists 90 D-Index: 23 scientists 91 D-Index: 25 scientists 92 D-Index: 27 scientists 93 D-Index: 27 scientists 94 D-Index: 13 scientists 95 D-Index: 23 scientists 96 D-Index: 12 scientists 97 D-Index: 14 scientists 98 D-Index: 19 scientists 99 D-Index: 16 scientists 100 D-Index: 14 scientists 101 D-Index: 5 scientists 102 D-Index: 21 scientists 103 D-Index: 16 scientists 104 D-Index: 10 scientists 105 D-Index: 7 scientists 106 D-Index: 7 scientists 107 D-Index: 7 scientists 108 D-Index: 6 scientists 109 D-Index: 9 scientists 110 D-Index: 11 scientists 111 D-Index: 12 scientists 112 D-Index: 9 scientists 113 D-Index: 7 scientists 114 D-Index: 3 scientists 115 D-Index: 8 scientists 116 D-Index: 5 scientists 117 D-Index: 11 scientists 118 D-Index: 4 scientists 119 D-Index: 2 scientists 120 D-Index: 5 scientists 121+ D-Index: 100 scientists
30 D-Index 121+

This scientist: 33 D-Index — 8th percentile

8% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 121 D-Index or more.

Overview

Prasad Daggupati is affiliated with the University of Guelph in Canada and specializes in Environmental Science, with a focus on Water Science and Technology, Soil Science, Environmental Engineering, Environmental Chemistry, and Ecology. Their research includes extensive work in subfields addressing water and soil systems and their interactions within the environment.

The primary topics of investigation in Daggupati's work include:

  • Hydrology and Watershed Management Studies
  • Soil erosion and sediment transport
  • Soil and Water Nutrient Dynamics
  • Soil Geostatistics and Mapping
  • Hydrology and Sediment Transport Processes
  • Flood Risk Assessment and Management
  • Soil and Unsaturated Flow

Daggupati has contributed numerous papers published in reputable scientific journals. Recent publications include:

  • "Bedload transport rate prediction: Application of novel hybrid data mining techniques" (2020, Journal of Hydrology)
  • "Multi-algorithm comparison to predict soil organic matter and soil moisture content from cell phone images" (2020, Geoderma)
  • "Impacts of hydrological model calibration on projected hydrological changes under climate change-a multi-model assessment in three large river basins" (2020, Climatic Change)
  • "A comprehensive review of ephemeral gully erosion models" (2020, CATENA)
  • "Great Lakes Runoff Intercomparison Project Phase 3: Lake Erie (GRIP-E)" (2021, Journal of Hydrologic Engineering)

Across their career, Daggupati has frequently published in journals such as CATENA, The Science of The Total Environment, Journal of Great Lakes Research, International Journal of Sediment Research, and Journal of Hydrology.

They have collaborated extensively with coauthors including Asim Biswas, Ramesh Rudra, Pradeep Goel, Narayan Kumar Shrestha, and Hiteshkumar B. Vasava, reflecting a pattern of sustained research partnerships within their field.

Best Publications

  • Hydrologic and Water Quality Models: Performance Measures and Evaluation Criteria

    Daniel N. Moriasi;Margaret W. Gitau;Naresh Pai;Prasad Daggupati

  • Introducing a new open source GIS user interface for the SWAT model

    Yihun T. Dile;Prasad Daggupati;Chris George;Raghavan Srinivasan

  • Cross‐scale intercomparison of climate change impacts simulated by regional and global hydrological models in eleven large river basins

    Fred Hattermann;V. Krysanova;Simon N. Gosling;Rutger Dankers

  • 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

    Dieu Tien Bui;Khabat Khosravi;Himan Shahabi;Prasad Daggupati

  • Sources of uncertainty in hydrological climate impact assessment: a cross-scale study

    Fred Hattermann;Tobias Vetter;Tobias Vetter;Lutz Breuer;Buda Su

  • Impact of model development, calibration and validation decisions on hydrological simulations in West Lake Erie Basin

    Prasad Daggupati;Haw Yen;Haw Yen;Michael J. White;Raghavan Srinivasan

  • An ensemble analysis of climate change impacts on streamflow seasonality across 11 large river basins

    S. Eisner;M. Flörke;A. Chamorro;P. Daggupati

  • Meteorological data mining and hybrid data-intelligence models for reference evaporation simulation: A case study in Iraq

    Khabat Khosravi;Prasad Daggupati;Mohammad Taghi Alami;Salih Muhammad Awadh

  • Advances in water resources research in the Upper Blue Nile basin and the way forward: A review

    Yihun Taddele Dile;Sirak Tekleab;Essayas K. Ayana;Solomon G. Gebrehiwot;Solomon G. Gebrehiwot

  • Assessing the implications of water harvesting intensification on upstream-downstream ecosystem services: A case study in the Lake Tana basin

    Yihun Taddele Dile;Yihun Taddele Dile;Louise Karlberg;Prasad Daggupati;Raghavan Srinivasan

  • Hydrologic and Water Quality Models: Key Calibration and Validation Topics

    Daniel N. Moriasi;Rebecca W. Zeckoski;Jeffrey G. Arnold;Claire Baffaut

  • Field-Level Targeting Using SWAT: Mapping Output from HRUs to Fields and Assessing Limitations of GIS Input Data

    P. Daggupati;K. R. Douglas-Mankin;A. Y. Sheshukov;P. L. Barnes

  • Bedload transport rate prediction: Application of novel hybrid data mining techniques

    Khabat Khosravi;James R. Cooper;Prasad Daggupati;Binh Thai Pham

  • Quantifying the Impacts of Climate Change on Streamflow Dynamics of Two Major Rivers of the Northern Lake Erie Basin in Canada

    Binbin Zhang;Narayan Kumar Shrestha;Prasad Daggupati;Ramesh Rudra

  • Predicting soil organic matter from cellular phone images under varying soil moisture

    Yuanyuan Fu;Yuanyuan Fu;Perry Taneja;Shaomin Lin;Wenjun Ji;Wenjun Ji

  • Application of Large-Scale, Multi-Resolution Watershed Modeling Framework Using the Hydrologic and Water Quality System (HAWQS)

    Haw Yen;Prasad Daggupati;Michael J. White;Raghavan Srinivasan

  • Western Lake Erie Basin: Soft-data-constrained, NHDPlus resolution watershed modeling and exploration of applicable conservation scenarios.

    Haw Yen;Michael J. White;Jeffrey G. Arnold;S. Conor Keitzer

  • Evaluating ephemeral gullies with a process-based topographic index model

    Prasad Daggupati;Aleksey Y. Sheshukov;Kyle R. Douglas-Mankin

  • Assessment of site-specific agricultural Best Management Practices in the Upper East River watershed, Wisconsin, using a field-scale SWAT model

    Katherine R. Merriman;Prasad Daggupati;Raghavan Srinivasan;Brett Hayhurst

  • Impacts of hydrological model calibration on projected hydrological changes under climate change—a multi-model assessment in three large river basins

    Shaochun Huang;Shaochun Huang;Harsh Shah;Bibi S. Naz;Narayan Shrestha

  • IPEAT+: A built-in optimization and automatic calibration tool of SWAT+

    Haw Yen;Seonggyu Park;Jeffrey G. Arnold;Raghavan Srinivasan

  • Thinking outside of the lake: Can controls on nutrient inputs into Lake Erie benefit stream conservation in its watershed?

    S. Conor Keitzer;Stuart A. Ludsin;Scott P. Sowa;Gust Annis

Frequent Co-Authors

Raghavan Srinivasan
Raghavan Srinivasan Texas A&M University
Asim Biswas
Asim Biswas University of Guelph
Jeffrey G. Arnold
Jeffrey G. Arnold Agricultural Research Service
Stuart A. Ludsin
Stuart A. Ludsin The Ohio State University
Bahram Gharabaghi
Bahram Gharabaghi University of Guelph
Khabat Khosravi
Khabat Khosravi Razi University
Tao Yang
Tao Yang Hohai University
Luis Samaniego
Luis Samaniego Helmholtz Centre for Environmental Research
Dale M. Robertson
Dale M. Robertson United States Geological Survey
Martina Flörke
Martina Flörke Ruhr University Bochum

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