World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
42
Citations
5999
World Ranking
7470
National Ranking
282

Miguel G. Cruz 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 Miguel G. Cruz 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: 104 publications — 15th percentile

15% of scientists in this discipline score the same or lower.

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

Miguel G. Cruz 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 Miguel G. Cruz 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

Miguel G. Cruz is affiliated with the Commonwealth Scientific and Industrial Research Organisation in Australia. Their research primarily focuses on fire dynamics and safety, environmental science, and engineering, with significant contributions to understanding wildfire behavior and its ecological impacts.

Their work spans several main fields of study, including:

  • Environmental Science
  • Engineering

Within these fields, their research addresses multiple subfields such as:

  • Global and Planetary Change
  • Safety, Risk, Reliability and Quality
  • Management, Monitoring, Policy and Law
  • Ecology
  • Nature and Landscape Conservation

Key topics covered in Miguel G. Cruz's research include:

  • Fire effects on ecosystems
  • Landslides and related hazards
  • Fire dynamics and safety research
  • Rangeland and Wildlife Management
  • Forest ecology and management
  • Fire Detection and Safety Systems
  • Aeolian processes and effects

The researcher has a substantial record of publications, frequently publishing in the following venues:

  • International Journal of Wildland Fire
  • Environmental Modelling & Software
  • SSRN Electronic Journal
  • Fire
  • Ecological Informatics

Recent notable papers include:

  • "An empirical-based model for predicting the forward spread rate of wildfires in eucalypt forests" (2021, International Journal of Wildland Fire)
  • "Prediction of wildfire rate of spread in grasslands using machine learning methods" (2022, Environmental Modelling & Software)
  • "Evaluating the 10% wind speed rule of thumb for estimating a wildfire's forward rate of spread against an extensive independent set of observations" (2020, Environmental Modelling & Software)
  • "Evidence for lack of a fuel effect on forest and shrubland fire rates of spread under elevated fire danger conditions: implications for modelling and management" (2022, International Journal of Wildland Fire)
  • "Wildfire Rates of Spread in Grasslands under Critical Burning Conditions" (2022, Fire)

Miguel G. Cruz collaborates frequently with several researchers, including:

  • Musa Kilinc
  • Martin E. Alexander
  • James S. Gould
  • W. L. McCaw
  • Andrew Sullivan

Best Publications

  • Anatomy of a catastrophic wildfire: The Black Saturday Kilmore East fire in Victoria, Australia

    M.G. Cruz;A.L. Sullivan;J.S. Gould;N.C. Sims

  • Assessing canopy fuel stratum characteristics in crown fire prone fuel types of western North America

    Miguel G. Cruz;Martin E. Alexander;Ronald H. Wakimoto

  • Assessing crown fire potential in coniferous forests of western North America: a critique of current approaches and recent simulation studies.

    Miguel G. Cruz;Miguel G. Cruz;Martin E. Alexander;Martin E. Alexander

  • Development and testing of models for predicting crown fire rate of spread in conifer forest stands

    Miguel G Cruz;Martin E Alexander;Ronald H Wakimoto

  • Crown fire behaviour in a northern jack pine-black spruce forest

    B J Stocks;M E Alexander;B M Wotton;C N Stefner

  • Interdependencies between flame length and fireline intensity in predicting crown fire initiation and crown scorch height

    Martin E. Alexander;Miguel G. Cruz

  • Uncertainty associated with model predictions of surface and crown fire rates of spread

    Miguel G. Cruz;Martin E. Alexander

  • FireStation - an integrated software system for the numerical simulation of fire spread on complex topography

    A. M. G. Lopes;Miguel G. Cruz;D. X. Viegas

  • A generic, empirical-based model for predicting rate of fire spread in shrublands

    Wendy R. Anderson;Miguel G. Cruz;Paulo M. Fernandes;Lachlan McCaw

  • Modeling the Likelihood of Crown Fire Occurrence in Conifer Forest Stands

    Miguel G. Cruz;Martin E. Alexander;Ronald H. Wakimoto

  • Plant flammability experiments offer limited insight into vegetation–fire dynamics interactions

    Paulo M. Fernandes;Miguel G. Cruz

  • Evaluating a model for predicting active crown fire rate of spread using wildfire observations

    Martin E Alexander;Miguel G Cruz

  • Fuel, Fire Weather and Fire Behaviour in Australian Ecosystems

    Andrew Sullivan;Lachie McCaw;Miguel Gomes Da Cruz;Stuart Matthews

  • Short communication: Are the applications of wildland fire behaviour models getting ahead of their evaluation again?

    Martin E. Alexander;Miguel G. Cruz

  • Fire behaviour modelling in semi-arid mallee-heath shrublands of southern Australia

    M.G. Cruz;W.L. McCaw;W.R. Anderson;J.S. Gould

  • Empirical-based models for predicting head-fire rate of spread in Australian fuel types

    Miguel G. Cruz;James S. Gould;Martin E. Alexander;Andrew L. Sullivan

  • Limitations on the accuracy of model predictions of wildland fire behaviour: A state-of-the-knowledge overview

    Unknown

  • Predicting the ignition of crown fuels above a spreading surface fire. Part I: model idealization

    Miguel G. Cruz;Bret W. Butler;Martin E. Alexander;Jason M. Forthofer

  • Synthesis of knowledge of extreme fire behavior : volume I for fire managers /

    Paul A. Werth;Brian E. Potter;Craig B. Clements;Mark A. Finney

  • The 10% wind speed rule of thumb for estimating a wildfire’s forward rate of spread in forests and shrublands

    Miguel G. Cruz;Martin E. Alexander

  • Development of fuel models for fire behaviour prediction in maritime pine (Pinus pinaster Ait.) stands

    Miguel G. Cruz;Miguel G. Cruz;Paulo M. Fernandes

  • Development of a model system to predict wildfire behaviour in pine plantations

    Miguel G. Cruz;Martin E. Alexander;Paulo A.M. Fernandes

Frequent Co-Authors

Martin E. Alexander
Martin E. Alexander Wild Rose Fire Behaviour
Paulo M. Fernandes
Paulo M. Fernandes University of Trás-os-Montes and Alto Douro
Anibal Ollero
Anibal Ollero University of Seville
Mike D. Flannigan
Mike D. Flannigan University of Alberta
B. M. Wotton
B. M. Wotton University of Toronto
Mark A. Finney
Mark A. Finney US Forest Service
Brian J. Stocks
Brian J. Stocks Canadian Forest Service
Ana Isabel Miranda
Ana Isabel Miranda University of Aveiro
José A. Vega
José A. Vega Xunta de Galicia
Roger D. Ottmar
Roger D. Ottmar US Forest Service

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