World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
41
Citations
5651
World Ranking
7814
National Ranking
591

Neil M.J. Crout 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 Neil M.J. Crout 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: 150 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Neil M.J. Crout 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 Neil M.J. Crout 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: 41 D-Index — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Ecology
  • Statistics
  • Agriculture

Soil water, Agronomy, Soil contamination, Environmental chemistry and Partition coefficient are his primary areas of study. His Soil water study is associated with Soil science. Neil M.J. Crout has researched Agronomy in several fields, including Sludge and Water content.

His research integrates issues of Phytoremediation and Soil conditioner in his study of Soil contamination. His research investigates the connection between Environmental chemistry and topics such as Organic matter that intersect with problems in Soil organic matter, Agrostis capillaris and Humus. His study in Partition coefficient is interdisciplinary in nature, drawing from both Soil parameters, Hordeum vulgare, Contamination, Soil characteristics and Soil to plant transfer.

His most cited work include:

  • Assessing potential risk of heavy metal exposure from consumption of home-produced vegetables by urban populations. (259 citations)
  • Methods for determining labile cadmium and zinc in soil. (127 citations)
  • Application of the CERES-Wheat model for within-season prediction of winter wheat yield in the United Kingdom (125 citations)

What are the main themes of his work throughout his whole career to date?

Neil M.J. Crout focuses on Soil water, Environmental chemistry, Agronomy, Contamination and Ecology. His Soil water study incorporates themes from Organic matter and Pore water pressure. He combines subjects such as Soil fertility and Pollution with his study of Pore water pressure.

The concepts of his Environmental chemistry study are interwoven with issues in Lability, Partition coefficient and Humus. His Agronomy study frequently links to adjacent areas such as Canopy. His work on Water potential is typically connected to Tomography as part of general Soil science study, connecting several disciplines of science.

He most often published in these fields:

  • Soil water (30.56%)
  • Environmental chemistry (20.14%)
  • Agronomy (17.36%)

What were the highlights of his more recent work (between 2017-2021)?

  • Soil water (30.56%)
  • Environmental chemistry (20.14%)
  • Bioavailability (6.25%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Soil water, Environmental chemistry, Bioavailability, Statistics and Phenology. His research in Soil water intersects with topics in Ion exchange and Uranium oxide. Sewage treatment is closely connected to Lability in his research, which is encompassed under the umbrella topic of Environmental chemistry.

His Statistics research is multidisciplinary, incorporating elements of Selection and Global change. His Grazing research is under the purview of Agronomy. His Pollution research includes elements of Contamination and Environmental protection.

Between 2017 and 2021, his most popular works were:

  • Quantification of root water uptake in soil using X‐ray computed tomography and image‐based modelling (19 citations)
  • Changes in CO2 during Ocean Anoxic Event 1d indicate similarities to other carbon cycle perturbations (14 citations)
  • Fit-for-purpose modelling of radiocaesium soil-to-plant transfer for nuclear emergencies: a review. (13 citations)

In his most recent research, the most cited papers focused on:

  • Ecology
  • Statistics
  • Agriculture

His primary areas of investigation include Statistics, Phenology, Calibration, Climate change and Greenhouse gas. The Statistics study combines topics in areas such as Plant phenology and Crop. The study incorporates disciplines such as Experimental data and Target population in addition to Phenology.

His Calibration study frequently draws connections between related disciplines such as Extrapolation. His studies deal with areas such as δ13C, Carbon cycle and Atmospheric sciences as well as Climate change. His work carried out in the field of Greenhouse gas brings together such families of science as Peat, Swamp, Tropical peat, Forestry and Wetland.

Best Publications

  • Assessing potential risk of heavy metal exposure from consumption of home-produced vegetables by urban populations.

    Rupert L Hough;Neil Breward;Scott D Young;Neil M J Crout

  • Application of the CERES-Wheat model for within-season prediction of winter wheat yield in the United Kingdom

    M. Bannayan;N. M. J. Crout;Gerrit Hoogenboom

  • Predicting the transfer of radiocaesium from organic soils to plants using soil characteristics.

    J.P. Absalom;S.D. Young;N.M.J. Crout;A. Sanchez

  • Predicting soil to plant transfer of radiocesium using soil characteristics

    J.P. Absalom;S.D. Young;N.M.J. Crout;A.F. Nisbet

  • Methods for determining labile cadmium and zinc in soil.

    S. D. Young;A. Tye;A. Carstensen;L. Resende

  • Towards the systematic simplification of mechanistic models

    G.M. Cox;J.M. Gibbons;A.T.A. Wood;J. Craigon

  • Predicting the activity of Cd2+ and Zn2+ in soil pore water from the radio-labile metal fraction

    A.M Tye;S.D Young;N.M.J Crout;H Zhang

  • Modelling of Cd, Cu, Ni, Pb and Zn uptake, by winter wheat and forage maize, from a sewage disposal farm

    R.L. Hough;S.D. Young;N.M.J. Crout

  • Radio‐caesium fixation dynamics: measurement in six Cumbrian soils

    J.P. Absalom;S.D. Young;N.M.J. Crout

  • Three‐dimensional quantification of soil hydraulic properties using X‐ray Computed Tomography and image‐based modeling

    Saoirse R. Tracy;Keith R. Daly;Craig J. Sturrock;Neil M. J. Crout

  • Technical assessment and evaluation of environmental models and software

    G.A. Alexandrov;D. Ames;G. Bellocchi;M. Bruen

  • Consequences of warming on tundra carbon balance determined by reindeer grazing history

    Maria Väisänen;Henni Ylänne;Henni Ylänne;Elina Kaarlejärvi;Sofie Sjögersten

  • Phytoextraction of cadmium and zinc by Salix from soil historically amended with sewage sludge

    A. P. Maxted;C. R. Black;H. M. West;N. M. J. Crout

  • Greenhouse gas emissions resulting from conversion of peat swamp forest to oil palm plantation

    Hannah V. Cooper;Stephanie Evers;Stephanie Evers;Paul Aplin;Neil Crout

  • Evaluating a ‘Free Ion Activity Model’ applied to metal uptake by Lolium perenne L. grown in contaminated soils.

    R. L. Hough;A. M. Tye;N. M. J. Crout;S. P. McGrath

  • The Effects of Elevated Atmospheric Carbon Dioxide and Water Stress on Ligth Interception, Dry Matter Production and Yield in Stands of Groundnut (Arachis hypogaea L.

    S. C. Clifford;I. M. Stronach;A. D. Mohamed;S. N. Azam-Ali

  • Phytoextraction of cadmium and zinc from arable soils amended with sewage sludge using Thlaspi caerulescens: Development of a predictive model

    A.P. Maxted;C.R. Black;H.M. West;N.M.J. Crout

  • Speciation and solubility of Cu, Ni and Pb in contaminated soils

    A. M. Tye;S. Young;N. M. J. Crout;H. Zhang

  • The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise

    Daniel Wallach;Taru Palosuo;Peter Thorburn;Zvi Hochman

  • Is my model too complex? Evaluating model formulation using model reduction

    N. M. J. Crout;D. Tarsitano;A. T. Wood

  • A review of 137Cs transfer to fungi and consequences for modelling environmental transfer

    A.G. Gillett;N.M.J. Crout

Frequent Co-Authors

Scott D. Young
Scott D. Young University of Nottingham
Nicholas A. Beresford
Nicholas A. Beresford University of Salford
Brenda J. Howard
Brenda J. Howard University of Nottingham
Steve P. McGrath
Steve P. McGrath Rothamsted Research
Michael J. Watts
Michael J. Watts British Geological Survey
Gerrit Hoogenboom
Gerrit Hoogenboom University of Florida
Hao Zhang
Hao Zhang Lancaster University
Sacha J. Mooney
Sacha J. Mooney University of Nottingham
Bruno Basso
Bruno Basso Michigan State University
Senthold Asseng
Senthold Asseng Technical University of Munich

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