World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
61
Citations
11115
World Ranking
2815
National Ranking
1119

R. W. Skaggs publication distribution in Environmental Sciences in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Environmental Sciences in 2026. The highlighted bar marks where R. W. Skaggs sits on this spectrum.

41–50 publications: 21 scientists 51–60 publications: 62 scientists 61–70 publications: 133 scientists 71–80 publications: 257 scientists 81–90 publications: 361 scientists 91–100 publications: 440 scientists 101–110 publications: 492 scientists 111–120 publications: 541 scientists 121–130 publications: 617 scientists 131–140 publications: 544 scientists 141–150 publications: 541 scientists 151–160 publications: 539 scientists 161–170 publications: 444 scientists 171–180 publications: 444 scientists 181–190 publications: 400 scientists 191–200 publications: 377 scientists 201–210 publications: 318 scientists 211–220 publications: 283 scientists 221–230 publications: 263 scientists 231–240 publications: 220 scientists 241–250 publications: 217 scientists 251–260 publications: 180 scientists 261–270 publications: 181 scientists 271–280 publications: 155 scientists 281–290 publications: 130 scientists 291–300 publications: 127 scientists 301–310 publications: 130 scientists 311–320 publications: 85 scientists 321–330 publications: 106 scientists 331–340 publications: 80 scientists 341–350 publications: 83 scientists 351–360 publications: 75 scientists 361–370 publications: 69 scientists 371–380 publications: 52 scientists 381–390 publications: 54 scientists 391–400 publications: 56 scientists 401–410 publications: 44 scientists 411–420 publications: 40 scientists 421–430 publications: 36 scientists 431–440 publications: 25 scientists 441–450 publications: 25 scientists 451–460 publications: 32 scientists 461–470 publications: 29 scientists 471–480 publications: 21 scientists 481–490 publications: 26 scientists 491–500 publications: 25 scientists 501–510 publications: 17 scientists 511–520 publications: 18 scientists 521–530 publications: 15 scientists 531–540 publications: 22 scientists 541–550 publications: 12 scientists 551–560 publications: 15 scientists 561–570 publications: 11 scientists 571–580 publications: 19 scientists 581–590 publications: 9 scientists 591–600 publications: 9 scientists 601–610 publications: 7 scientists 611–620 publications: 11 scientists 621–630 publications: 5 scientists 631–640 publications: 5 scientists 641–650 publications: 6 scientists 651–660 publications: 3 scientists 661–670 publications: 3 scientists 671–680 publications: 4 scientists 681–686 publications: 3 scientists 687+ publications: 100 scientists
41 publications 687+

This scientist: 290 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 687 publications or more.

R. W. Skaggs D-index placement in Environmental Sciences in 2026

The chart shows the D-index (discipline H-index) distribution of Environmental Sciences scientists ranked by Research.com in 2026. The highlighted bar marks where R. W. Skaggs sits on this spectrum.

30 D-Index: 12 scientists 31 D-Index: 26 scientists 32 D-Index: 51 scientists 33 D-Index: 88 scientists 34 D-Index: 123 scientists 35 D-Index: 163 scientists 36 D-Index: 206 scientists 37 D-Index: 267 scientists 38 D-Index: 265 scientists 39 D-Index: 275 scientists 40 D-Index: 321 scientists 41 D-Index: 343 scientists 42 D-Index: 305 scientists 43 D-Index: 336 scientists 44 D-Index: 330 scientists 45 D-Index: 348 scientists 46 D-Index: 291 scientists 47 D-Index: 275 scientists 48 D-Index: 272 scientists 49 D-Index: 273 scientists 50 D-Index: 263 scientists 51 D-Index: 232 scientists 52 D-Index: 266 scientists 53 D-Index: 217 scientists 54 D-Index: 199 scientists 55 D-Index: 177 scientists 56 D-Index: 202 scientists 57 D-Index: 204 scientists 58 D-Index: 166 scientists 59 D-Index: 177 scientists 60 D-Index: 166 scientists 61 D-Index: 152 scientists 62 D-Index: 143 scientists 63 D-Index: 150 scientists 64 D-Index: 124 scientists 65 D-Index: 119 scientists 66 D-Index: 120 scientists 67 D-Index: 118 scientists 68 D-Index: 82 scientists 69 D-Index: 98 scientists 70 D-Index: 94 scientists 71 D-Index: 105 scientists 72 D-Index: 74 scientists 73 D-Index: 84 scientists 74 D-Index: 70 scientists 75 D-Index: 67 scientists 76 D-Index: 78 scientists 77 D-Index: 60 scientists 78 D-Index: 59 scientists 79 D-Index: 52 scientists 80 D-Index: 47 scientists 81 D-Index: 38 scientists 82 D-Index: 48 scientists 83 D-Index: 42 scientists 84 D-Index: 42 scientists 85 D-Index: 43 scientists 86 D-Index: 29 scientists 87 D-Index: 37 scientists 88 D-Index: 29 scientists 89 D-Index: 30 scientists 90 D-Index: 34 scientists 91 D-Index: 20 scientists 92 D-Index: 22 scientists 93 D-Index: 17 scientists 94 D-Index: 19 scientists 95 D-Index: 24 scientists 96 D-Index: 21 scientists 97 D-Index: 20 scientists 98 D-Index: 24 scientists 99 D-Index: 17 scientists 100 D-Index: 17 scientists 101 D-Index: 21 scientists 102 D-Index: 25 scientists 103 D-Index: 18 scientists 104 D-Index: 26 scientists 105 D-Index: 19 scientists 106 D-Index: 15 scientists 107 D-Index: 10 scientists 108 D-Index: 13 scientists 109 D-Index: 15 scientists 110 D-Index: 12 scientists 111 D-Index: 8 scientists 112 D-Index: 7 scientists 113 D-Index: 9 scientists 114 D-Index: 6 scientists 115 D-Index: 12 scientists 116 D-Index: 7 scientists 117 D-Index: 8 scientists 118 D-Index: 3 scientists 119 D-Index: 5 scientists 120 D-Index: 7 scientists 121 D-Index: 2 scientists 122 D-Index: 4 scientists 123 D-Index: 8 scientists 124 D-Index: 7 scientists 125+ D-Index: 99 scientists
30 D-Index 125+

This scientist: 61 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 125 D-Index or more.

Research.com Recognitions

  • 1991 - Member of the National Academy of Engineering For contributions to the rational design of agricultural drainage systems and development the means for their economic optimization.

Overview

R. W. Skaggs is affiliated with North Carolina State University in the United States. Their research primarily focuses on environmental science and agricultural and biological sciences, with a strong emphasis on water science and technology, environmental chemistry, and soil science. Civil and structural engineering, as well as environmental engineering, are also among the subfields connected to their work.

The scientist's research topics cover a variety of areas related to water and soil management, including:

  • Hydrology and Watershed Management Studies
  • Soil and Water Nutrient Dynamics
  • Soil and Unsaturated Flow
  • Soil erosion and sediment transport
  • Groundwater flow and contamination studies
  • Irrigation Practices and Water Management
  • Aquatic Ecosystems and Phytoplankton Dynamics

Skaggs has contributed to multiple publications, particularly in the journal Agricultural Water Management. Other venues include Transactions of the ASABE and Wetlands.

Recent papers include:

  • DRAINMOD Simulation of macropore flow at subsurface drained agricultural fields: Model modification and field testing (2020, Agricultural Water Management)
  • DRAINMOD modeling framework for simulating controlled drainage effect on lateral seepage from artificially drained fields (2021, Agricultural Water Management)
  • Design drainage rates to optimize crop production for subsurface-drained fields (2021, Agricultural Water Management)
  • DRAINMOD-P: A Model for Simulating Phosphorus Dynamics and Transport in Drained Agricultural Lands: I. Model Development (2021, Transactions of the ASABE)
  • Method to Assess Climate Change Impacts on Hydrologic Boundaries of Individual Wetlands (2020, Wetlands)

Frequent co-authors associated with Skaggs include Manal H. Askar, G. M. Chescheir, Mohamed A. Youssef, Lamyaa M. Negm, and Dean Hesterberg. Collaboration with these researchers appears regularly across Skaggs's recent publications.

In 1991, Skaggs was recognized as a Member of the National Academy of Engineering for contributions to the rational design of agricultural drainage systems and the development of methods for their economic optimization.

Best Publications

  • Hydrologic and water quality impacts of agricultural drainage

    R. W. Skaggs;M. A. Brevé;J. W. Gilliam

  • A water management model for shallow water table soils.

    R W Skaggs

  • Comparison of methods for estimating REF-ET

    D. M. Amatya;R. W. Skaggs;J. D. Gregory

  • Modeling denitrification in terrestrial and aquatic ecosystems at regional scales.

    Elizabeth W. Boyer;Richard B. Alexander;William J. Parton;Changsheng Li

  • DRAINMOD: Model Use, Calibration, and Validation

    R. W. Skaggs;M. A. Youssef;G. M. Chescheir

  • Nitrogen Removal in Streams of Agricultural Catchments—A Literature Review

    Unknown

  • Drainage Control to Diminish Nitrate Loss from Agricultural Fields 1

    Unknown

  • Energy and water balance of two contrasting loblolly pine plantations on the lower coastal plain of North Carolina, USA

    G. Sun;A. Noormets;M.J. Gavazzi;S.G. McNulty

  • Hydrological Processes and Model Representation: Impact of Soft Data on Calibration

    J.G. Arnold;Youssef;H. Yen;M.J. White

  • Drainage water management

    R. Wayne Skaggs;Norman R. Fausey;Robert O. Evans

  • A comparison of the watershed hydrology of coastal forested wetlands and the mountainous uplands in the Southern US

    G. Sun;S.G. McNulty;D.M. Amatya;R.W. Skaggs

  • THE NITROGEN SIMULATION MODEL, DRAINMOD-N II

    M. A. Youssef;R. W. Skaggs;G. M. Chescheir;J. W. Gilliam

  • Field Evaluation of a Water Management Simulation Model

    R. W. Skaggs

  • Controlled Agricultural Drainage to Maintain Water Quality

    J. W. Gilliam;R. W. Skaggs

  • DRAINMOD-N, A NITROGEN MODEL FOR ARTIFICIALLY DRAINED SOIL

    M. A. Brevé;R. W. Skaggs;J. E. Parsons;J. W. Gilliam

  • Effects of controlled drainage on the hydrology of drained pine plantations in the North Carolina coastal plain

    Devendra M. Amatya;R.W. Skaggs;J.D. Gregory

  • Drains as a Boundary Condition in Finite Elements

    G. Fipps;R. W. Skaggs;John L Nieber

  • Calibration and validation of DRAINMOD to model bioretention hydrology

    R.A. Brown;R.W. Skaggs;W.F. Hunt

  • DRAINMOD modifications for cold conditions

    W. Luo;R. W. Skaggs;G. M. Chescheir

  • Effect of Drainage System Design and Operation on Nitrate Transport

    R. W. Skaggs;J. W. Gilliam

  • Effects of Controlled Drainage on Forest Water Quality

    D. M. Amatya;J. W. Gilliam;R. W. Skaggs;M. E. Lebo

  • EFFECT OF PARAMETER UNCERTAINTY ON DRAINMOD PREDICTIONS: I. HYDROLOGY AND YIELD

    P. K. Haan;R. W. Skaggs

  • STRESS DAY INDEX MODELS TO PREDICT CORN AND SOYBEAN RELATIVE YIELD UNDER HIGH WATER TABLE CONDITIONS

    R. O. Evans;R. W. Skaggs;R. E. Sneed

Frequent Co-Authors

Devendra M. Amatya
Devendra M. Amatya US Forest Service
Ge Sun
Ge Sun US Forest Service
Carl C. Trettin
Carl C. Trettin US Forest Service
Asko Noormets
Asko Noormets Texas A&M University
Jiquan Chen
Jiquan Chen Michigan State University
William F. Hunt
William F. Hunt North Carolina State University
Jane Frankenberger
Jane Frankenberger Purdue University West Lafayette
John S. King
John S. King North Carolina State University
Steven G. McNulty
Steven G. McNulty US Forest Service
Jean-Christophe Domec
Jean-Christophe Domec Bordeaux Sciences Agro

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