World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
46
Citations
7076
World Ranking
6160
National Ranking
2229

Randall J. Hunt 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 Randall J. Hunt 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: 176 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Randall J. Hunt 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 Randall J. Hunt 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: 46 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Overview

Randall J. Hunt is affiliated with the United States Geological Survey in the United States. Their research primarily focuses on environmental science and earth and planetary sciences, with notable contributions in environmental engineering, water science and technology, geochemistry and petrology, global and planetary change, and ocean engineering.

The scientist has a significant body of work centered around groundwater flow and contamination studies, hydrology and watershed management, groundwater and isotope geochemistry, reservoir engineering and simulation methods, NMR spectroscopy and applications, flood risk assessment and management, and fecal contamination and water quality.

Frequent collaborators in their publications include Daniel T. Feinstein, Michael N. Fienen, Jeremy T. White, Andrew T. Leaf, and Leslie L. Duncan.

Their notable recent papers include:

  • Approaches to highly parameterized inversion: PEST++ Version 5, a software suite for parameter estimation, uncertainty analysis, management optimization and sensitivity analysis, 2020, Techniques and methods
  • Modeling Water Quality in Watersheds: From Here to the Next Generation, 2020, Water Resources Research
  • Can Hydrological Models Benefit From Using Global Soil Moisture, Evapotranspiration, and Runoff Products as Calibration Targets?, 2023, Water Resources Research
  • Sources and Risk Factors for Nitrate and Microbial Contamination of Private Household Wells in the Fractured Dolomite Aquifer of Northeastern Wisconsin, 2021, Environmental Health Perspectives
  • Risk-Based Wellhead Protection Decision Support: A Repeatable Workflow Approach, 2021, Ground Water

The scientist's publication outlets reflect their research focus areas and include Ground Water, Abstracts with programs - Geological Society of America, Scientific Investigations Report, Water Resources Research, and Environmental Modelling & Software.

Best Publications

  • Approaches to highly parameterized inversion-A guide to using PEST for groundwater-model calibration

    John E. Doherty;Randall J. Hunt

  • Integrated Groundwater Management

    Anthony J. Jakeman;Olivier Barreteau;Randall J. Hunt;Jean-Daniel Rinaudo

  • Identifying spatial variability of groundwater discharge in a wetland stream using a distributed temperature sensor

    Christopher S. Lowry;John F. Walker;Randall J. Hunt;Mary P. Anderson

  • Are Models Too Simple? Arguments for Increased Parameterization

    Randall J. Hunt;John Doherty;Matthew J. Tonkin

  • Vulnerability of Drinking-Water Wells in La Crosse, Wisconsin, to Enteric-Virus Contamination from Surface Water Contributions

    Mark A. Borchardt;Nathaniel L. Haas;Nathaniel L. Haas;Randall J. Hunt

  • Two statistics for evaluating parameter identifiability and error reduction

    John Doherty;Randall J. Hunt

  • Using groundwater temperature data to constrain parameter estimation in a groundwater flow model of a wetland system

    Hector R. Bravo;Feng Jiang;Randall J. Hunt

  • Australian groundwater modelling guidelines

    Brian Barnett;Lloyd Townley;Vincent Post;Ray Evans

  • SWB-A modified Thornthwaite-Mather Soil-Water-Balance code for estimating groundwater recharge

    S.M. Westenbroek;V.A. Kelson;W.R. Dripps;R.J. Hunt

  • Effects of climate and land management change on streamflow in the driftless area of Wisconsin

    Paul F. Juckem;Randall J. Hunt;Mary P. Anderson;Dale M. Robertson

  • Approaches to highly parameterized inversion: PEST++ Version 5, a software suite for parameter estimation, uncertainty analysis, management optimization and sensitivity analysis

    Jeremy T. White;Randall J. Hunt;Michael N. Fienen;John E. Doherty

  • Characterizing hydrology and the importance of ground-water discharge in natural and constructed wetlands.

    Randall J. Hunt;John F. Walker;David P. Krabbenhoft

  • Improving a Complex Finite-Difference Ground Water Flow Model Through the Use of an Analytic Element Screening Model

    Randall J. Hunt;Mary P. Anderson;Victor A. Kelson

  • Comparison of total mercury and methylmercury cycling at five sites using the small watershed approach

    James B. Shanley;M. Alisa Mast;Donald H. Campbell;George R. Aiken

  • Investigating surface water well interaction using stable isotope ratios of water

    Randall J. Hunt;Tyler B. Coplen;Nathaniel L. Haas;Nathaniel L. Haas;David A. Saad

  • Effective modeling for integrated water resource management: a guide to contextual practices by phases and steps and future opportunities

    Jennifer Badham;Sondoss Elsawah;Sondoss Elsawah;Joseph H.A. Guillaume;Joseph H.A. Guillaume;Serena H. Hamilton;Serena H. Hamilton

  • Approaches to Highly Parameterized Inversion: A Guide to Using PEST for Model-Parameter and Predictive-Uncertainty Analysis

    John E. Doherty;Randall J. Hunt;Matthew J. Tonkin

  • ESTIMATING EVAPOTRANSPIRATION IN NATURAL AND CONSTRUCTED WETLANDS

    R. Brandon Lott;Randall J. Hunt

  • Approaches to Highly Parameterized Inversion: Pilot-Point Theory, Guidelines, and Research Directions

    John E. Doherty;Michael N. Fienen;Randall J. Hunt

  • Simulating Ground Water‐Lake Interactions: Approaches and Insights

    Randall J. Hunt;Henk M. Haitjema;James T. Krohelski;Daniel T. Feinstein

  • Source and transport of human enteric viruses in deep municipal water supply wells.

    Kenneth R. Bradbury;Mark A. Borchardt;Madeline Gotkowitz;Susan K. Spencer

Frequent Co-Authors

Mary P. Anderson
Mary P. Anderson University of Wisconsin–Madison
Anthony J. Jakeman
Anthony J. Jakeman Australian National University
Thomas D. Bullen
Thomas D. Bullen United States Geological Survey
David Saad
David Saad Aston University
Lauren E. Hay
Lauren E. Hay United States Geological Survey
Norman E. Peters
Norman E. Peters United States Geological Survey
David W. Clow
David W. Clow United States Geological Survey
David P. Krabbenhoft
David P. Krabbenhoft United States Geological Survey
James B. Shanley
James B. Shanley United States Geological Survey
Chunmiao Zheng
Chunmiao Zheng Southern University of Science and Technology

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