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Raghavan Srinivasan

Raghavan Srinivasan

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Engineering and Technology
USA
2026

D-Index & Metrics

Environmental Sciences

D-Index
98
Citations
57277
World Ranking
404
National Ranking
181

Engineering and Technology

D-Index
102
Citations
60936
World Ranking
132
National Ranking
48

Raghavan Srinivasan publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Raghavan Srinivasan sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 891 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Raghavan Srinivasan D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Raghavan Srinivasan sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 102 D-Index — 99th percentile

99% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in United States Leader Award
  • 2025 - Research.com Engineering and Technology in United States Leader Award
  • 1999 - Member of the National Academy of Engineering For ultraviolet laser processing of polymers and its extension to refractive surgery of the cornea.
  • 1977 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1965 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

Raghavan Srinivasan is affiliated with Texas A&M University in the United States and specializes in environmental science with a strong focus on water-related studies. Their research encompasses various aspects of hydrology, watershed management, and climate variability, contributing to the understanding and management of environmental systems.

The scientist's work has been published frequently in leading academic journals. The most common venues include:

  • The Science of The Total Environment
  • Environmental Modelling & Software
  • Agricultural Water Management
  • Journal of Hydrology
  • Water

Key recent papers authored or co-authored by Srinivasan cover topics such as hydrological modeling, satellite data evaluation for evapotranspiration, land use and land cover change, and conservation practices. Notable examples include:

  • "Development of reservoir operation functions in SWAT+ for national environmental assessments" (2020, Journal of Hydrology)
  • "Evaluating satellite-based evapotranspiration estimates for hydrological applications in data-scarce regions: A case in Ethiopia" (2020, The Science of The Total Environment)
  • "An interactive graphical interface tool for parameter calibration, sensitivity analysis, uncertainty analysis, and visualization for the Soil and Water Assessment Tool" (2022, Environmental Modelling & Software)
  • "Mapping Land Use Land Cover Change in the Lower Mekong Basin From 1997 to 2010" (2020, Frontiers in Environmental Science)
  • "Evaluating runoff and sediment responses to soil and water conservation practices by employing alternative modeling approaches" (2020, The Science of The Total Environment)

Their research fields are primarily centered on environmental science, with a substantial focus in the following subfields:

  • Water Science and Technology
  • Global and Planetary Change
  • Soil Science
  • Environmental Engineering
  • Environmental Chemistry

The main topics addressed in Srinivasan's body of work include:

  • Hydrology and Watershed Management Studies
  • Flood Risk Assessment and Management
  • Soil erosion and sediment transport
  • Soil and Water Nutrient Dynamics
  • Climate variability and models
  • Water resources management and optimization
  • Hydrology and Drought Analysis

Frequent collaborators in their research efforts are:

  • Puyu Feng
  • Gary W. Marek
  • De Li Liu
  • Junyu Qi
  • Yong Chen

Recognition of Srinivasan's contributions includes election as a Member of the National Academy of Engineering in 1999, a recognition linked to work on ultraviolet laser processing of polymers and its applications to refractive surgery of the cornea. Earlier honors included fellowships awarded by the American Association for the Advancement of Science in 1977 and the John Simon Guggenheim Memorial Foundation in 1965.

Best Publications

  • Large Area Hydrologic Modeling and Assessment Part i: Model Development

    Jeffrey G. Arnold;Raghavan Srinivasan;Ranjan S. Muttiah;J. R. Williams

  • SWAT: Model Use, Calibration, and Validation

    J. G. Arnold;Daniel N. Moriasi;P. W. Gassman;K. C. Abbaspour

  • Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT

    Karim C. Abbaspour;Jing Yang;Ivan Maximov;Rosi Siber

  • Validation of the SWAT Model on a Large River Basin With Point and Nonpoint Sources

    C. Santhi;Jeffrey G. Arnold;Jimmy R. Williams;William A. Dugas

  • A continental-scale hydrology and water quality model for Europe: Calibration and uncertainty of a high-resolution large-scale SWAT model

    K.C. Abbaspour;E. Rouholahnejad;S. Vaghefi;R. Srinivasan

  • A global sensitivity analysis tool for the parameters of multi-variable catchment models

    A. van Griensven;T. Meixner;S. Grunwald;T. Bishop

  • Development and evaluation of Soil Moisture Deficit Index (SMDI) and Evapotranspiration Deficit Index (ETDI) for agricultural drought monitoring

    B. Narasimhan;R. Srinivasan

  • Regional estimation of base flow and groundwater recharge in the Upper Mississippi river basin

    J.G Arnold;R.S Muttiah;R Srinivasan;P.M Allen

  • Applications of the SWAT Model Special Section: Overview and Insights.

    Philip W. Gassman;Ali M. Sadeghi;Raghavan Srinivasan

  • INTEGRATION OF A BASIN‐SCALE WATER QUALITY MODEL WITH GIS

    Raghavan Srinivasan;Jeffrey G. Arnold

  • ω-Assisted nucleation and growth of α precipitates in the Ti–5Al–5Mo–5V–3Cr–0.5Fe β titanium alloy

    S. Nag;R. Banerjee;R. Srinivasan;J.Y. Hwang

  • Soil and Water Assessment Tool (SWAT) Model: Current Developments and Applications

    K. R. Douglas-Mankin;R. Srinivasan;J. G. Arnold

  • The TeV Spectrum of Markarian 501

    F.W. Samuelson;S.D. Biller;I.H. Bond;P.J. Boyle

  • LARGE AREA HYDROLOGIC MODELING AND ASSESSMENT PART II: MODEL APPLICATION

    Raghavan Srinivasan;Tharacad S. Ramanarayanan;Jeffrey G. Arnold;S. T. Bednarz

  • Estimation of freshwater availability in the West African sub-continent using the SWAT hydrologic model

    Jürgen Schuol;Karim C. Abbaspour;Raghavan Srinivasan;Hong Yang

  • Introduction to SWAT+, A Completely Restructured Version of the Soil and Water Assessment Tool†

    Katrin Bieger;Jeffrey G. Arnold;Hendrik Rathjens;Michael J. White

  • A modeling approach to evaluate the impacts of water quality management plans implemented in a watershed in Texas

    C. Santhi;Raghavan Srinivasan;Jeffrey G. Arnold;J. R. Williams

  • Modeling blue and green water availability in Africa

    Jiirgen Schuol;Jiirgen Schuol;Karim C. Abbaspour;Hong Yang;Raghavan Srinivasan

  • Sediment management modelling in the Blue Nile Basin using SWAT model

    G.D. Betrie;G.D. Betrie;Y.A. Mohamed;Y.A. Mohamed;A. Van Griensven;R. Srinivasan

  • Advances in the application of the SWAT model for water resources management

    R. Jayakrishnan;R. Srinivasan;C. Santhi;J. G. Arnold

  • SWAT Ungauged: Hydrological Budget and Crop Yield Predictions in the Upper Mississippi River Basin

    R. Srinivasan;X. Zhang;J. Arnold

Frequent Co-Authors

Jeffrey G. Arnold
Jeffrey G. Arnold Agricultural Research Service
John L. Quinn
John L. Quinn University College Cork
J. P. Finley
J. P. Finley Purdue University West Lafayette
F. Krennrich
F. Krennrich Iowa State University
T. C. Weekes
T. C. Weekes Harvard University
James H. Buckley
James H. Buckley Washington University in St. Louis
Julie McEnery
Julie McEnery Goddard Space Flight Center
Xuesong Zhang
Xuesong Zhang Agricultural Research Service
Prasad Daggupati
Prasad Daggupati University of Guelph
Hamish L. Fraser
Hamish L. Fraser The Ohio State University

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