World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
42
Citations
6591
World Ranking
7417
National Ranking
279

Neil McIntyre 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 McIntyre 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: 168 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Neil McIntyre 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 McIntyre 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: 42 D-Index — 25th percentile

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

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

Overview

Neil McIntyre is affiliated with the University of Queensland in Australia and primarily works within the field of Environmental Science. Their research emphasizes Water Science and Technology, Soil Science, Environmental Engineering, Global and Planetary Change, and Ocean Engineering as notable subfields.

The scientist's work addresses several main topics, including:

  • Soil erosion and sediment transport
  • Water-Energy-Food Nexus Studies
  • Water resources management and optimization
  • Groundwater flow and contamination studies
  • Mine drainage and remediation techniques
  • Membrane Separation Technologies
  • Soil and Unsaturated Flow

Neil McIntyre has contributed to diverse publication venues, with frequent appearances in the following journals:

  • SSRN Electronic Journal
  • Journal of Environmental Management
  • Agricultural Water Management
  • Hydrogeology Journal
  • Water Science & Technology Water Supply

Among their recent papers are:

  • "At the crossroads: can desalination be a suitable public policy solution to address water scarcity in Chile's mining zones?" (2020), Journal of Environmental Management
  • "The sustainability of desalination as a remedy to the water crisis in the agriculture sector: An analysis from the climate-water-energy-food nexus perspective" (2023), Agricultural Water Management
  • "Preface: Advances in hydrogeologic understanding of Australia's Great Artesian Basin" (2020), Hydrogeology Journal
  • "Voluntary metering of rural groundwater extractions: understanding and resolving the challenges" (2022), Hydrogeology Journal
  • "Evaluation of IMERG V05B 30-Min Rainfall Estimates over the High-Elevation Tropical Andes Mountains" (2020), Journal of Hydrometeorology

The scientist frequently collaborates with the following co-authors:

  • Liliana Pagliero
  • Nevenka Bulovic
  • Carlos M. Ordens
  • Babak Zolghadr-Asli
  • Slobodan Djordjević

Best Publications

  • Towards reduced uncertainty in conceptual rainfall-runoff modelling: Dynamic identifiability analysis

    Thorsten Wagener;N McIntyre;M J Lees;H S Wheater

  • Understanding Flood Regime Changes in Europe: A state of the art assessment

    J Hall;B Arheimer;M Borga;R Brazdil;R Brazdil

  • Ensemble predictions of runoff in ungauged catchments

    Neil McIntyre;Hyosang Lee;Howard Wheater;Andy Young

  • Catchment scale hydrological modelling: a review of model types, calibration approaches and uncertainty analysis methods in the context of recent developments in technology and applications

    I. G. Pechlivanidis;B. M. Jackson;N. R. Mcintyre;H. S. Wheater

  • Polyscape: A GIS mapping framework providing efficient and spatially explicit landscape-scale valuation of multiple ecosystem services

    Bethanna Jackson;Timothy Pagella;Fergus Sinclair;Barbara Orellana

  • Application of the Kineros2 rainfall-runoff model to an arid catchment in Oman

    Aisha Al-Qurashi;Neil McIntyre;Howard Wheater;Carl Unkrich

  • Evaluation of five satellite products for estimation of rainfall over Uganda

    Anita Asadullah;Neil McINTYRE;Max Kigobe

  • The impact of upland land management on flooding: results from an improved pasture hillslope

    Miles R. Marshall;Oliver J. Francis;Zoe L. Frogbrook;Bethanna M. Jackson;Bethanna M. Jackson

  • Conditioning rainfall-runoff model parameters for ungauged catchments and land management impacts analysis

    N. Bulygina;N. McIntyre;H. Wheater

  • Optimization of a similarity measure for estimating ungauged streamflow

    J. P. C. Reichl;J. P. C. Reichl;A. W. Western;A. W. Western;N. R. McIntyre;F. H. S. Chiew;F. H. S. Chiew

  • Challenges of integrated modelling in mining regions to address social, environmental and economic impacts

    Alex M. Lechner;Neil McIntyre;Katherine Witt;Christopher M. Raymond

  • The impact of rural land management changes on soil hydraulic properties and runoff processes: results from experimental plots in upland UK

    Miles R. Marshall;Caroline Ballard;Z. L. Frogbrook;I. Solloway

  • Selection of conceptual models for regionalisation of the rainfall-runoff relationship

    Hyosang Lee;Neil McIntyre;Howard Wheater;Andy Young

  • Within-river nutrient processing in Chalk streams : The Pang and Lambourn, UK.

    Helen P. Jarvie;Colin Neal;Monika D. Jürgens;Elizabeth J. Sutton

  • A database and model to support proactive management of sediment-related sewer blockages

    Juan Pablo Rodríguez;Neil McIntyre;Mario Díaz-Granados;Čedo Maksimović

  • Performance of ten rainfall-runoff models applied to an arid catchment in Oman

    Neil McIntyre;Aisha Al-Qurashi

  • The impact of upland land management on flooding: insights from a multiscale experimental and modelling programme

    B.M. Jackson;B.M. Jackson;H.S. Wheater;N.R. Mcintyre;J. Chell

  • Sensitivity analysis of a catchment-scale nitrogen model

    N. McIntyre;B. Jackson;A.J. Wade;D. Butterfield

  • Bayesian conditioning of a rainfall-runoff model for predicting flows in ungauged catchments and under land use changes

    Nataliya Bulygina;Neil McIntyre;Howard Wheater;Howard Wheater

  • A tool for risk-based management of surface water quality

    Neil R. McIntyre;Howard S. Wheater

  • Investigating regionalization techniques for large-scale hydrological modelling.

    Liliana Pagliero;Fayçal Bouraoui;Jan Diels;Patrick Willems

Frequent Co-Authors

Howard Wheater
Howard Wheater Imperial College London
Thorsten Wagener
Thorsten Wagener University of Potsdam
Brian Reynolds
Brian Reynolds Bangor University
Alex M. Lechner
Alex M. Lechner Monash University
Wouter Buytaert
Wouter Buytaert Imperial College London
Saleem H. Ali
Saleem H. Ali University of Delaware
Ralf Merz
Ralf Merz Helmholtz Centre for Environmental Research
Andrew J. Wade
Andrew J. Wade University of Reading
Fergus L. Sinclair
Fergus L. Sinclair Bangor University
Andrew N. Phillips
Andrew N. Phillips University College London

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