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Gurutzeta Guillera-Arroita

Gurutzeta Guillera-Arroita

University of Melbourne
Australia

D-Index & Metrics

Ecology and Evolution

D-Index
45
Citations
12214
World Ranking
4748
National Ranking
376

Gurutzeta Guillera-Arroita publication distribution in Ecology and Evolution in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Ecology and Evolution in 2026. The highlighted bar marks where Gurutzeta Guillera-Arroita sits on this spectrum.

37–41 publications: 2 scientists 42–46 publications: 9 scientists 47–51 publications: 10 scientists 52–56 publications: 31 scientists 57–61 publications: 56 scientists 62–66 publications: 91 scientists 67–71 publications: 92 scientists 72–76 publications: 127 scientists 77–81 publications: 173 scientists 82–86 publications: 236 scientists 87–91 publications: 227 scientists 92–96 publications: 240 scientists 97–101 publications: 333 scientists 102–106 publications: 280 scientists 107–111 publications: 300 scientists 112–116 publications: 285 scientists 117–121 publications: 305 scientists 122–126 publications: 287 scientists 127–131 publications: 278 scientists 132–136 publications: 289 scientists 137–141 publications: 273 scientists 142–146 publications: 262 scientists 147–151 publications: 246 scientists 152–156 publications: 235 scientists 157–161 publications: 205 scientists 162–166 publications: 199 scientists 167–171 publications: 174 scientists 172–176 publications: 164 scientists 177–181 publications: 173 scientists 182–186 publications: 189 scientists 187–191 publications: 170 scientists 192–196 publications: 139 scientists 197–201 publications: 128 scientists 202–206 publications: 117 scientists 207–211 publications: 115 scientists 212–216 publications: 107 scientists 217–221 publications: 124 scientists 222–226 publications: 81 scientists 227–231 publications: 82 scientists 232–236 publications: 85 scientists 237–241 publications: 75 scientists 242–246 publications: 66 scientists 247–251 publications: 81 scientists 252–256 publications: 69 scientists 257–261 publications: 70 scientists 262–266 publications: 55 scientists 267–271 publications: 64 scientists 272–276 publications: 49 scientists 277–281 publications: 48 scientists 282–286 publications: 44 scientists 287–291 publications: 45 scientists 292–296 publications: 36 scientists 297–301 publications: 39 scientists 302–306 publications: 38 scientists 307–311 publications: 30 scientists 312–316 publications: 34 scientists 317–321 publications: 25 scientists 322–326 publications: 22 scientists 327–331 publications: 28 scientists 332–336 publications: 30 scientists 337–341 publications: 22 scientists 342–346 publications: 30 scientists 347–351 publications: 26 scientists 352–356 publications: 22 scientists 357–361 publications: 29 scientists 362–366 publications: 21 scientists 367–371 publications: 12 scientists 372–376 publications: 18 scientists 377–381 publications: 17 scientists 382–386 publications: 13 scientists 387–391 publications: 21 scientists 392–396 publications: 13 scientists 397–401 publications: 10 scientists 402–406 publications: 15 scientists 407–411 publications: 8 scientists 412–416 publications: 9 scientists 417–421 publications: 8 scientists 422–426 publications: 4 scientists 427–431 publications: 10 scientists 432–436 publications: 10 scientists 437–441 publications: 5 scientists 442–446 publications: 4 scientists 447–451 publications: 10 scientists 452–456 publications: 2 scientists 457–461 publications: 4 scientists 462–466 publications: 7 scientists 467–471 publications: 7 scientists 472–476 publications: 6 scientists 477–481 publications: 6 scientists 482–486 publications: 3 scientists 487–491 publications: 3 scientists 492–496 publications: 4 scientists 497–501 publications: 4 scientists 502–506 publications: 8 scientists 507–511 publications: 5 scientists 512–516 publications: 4 scientists 517–521 publications: 5 scientists 522–526 publications: 4 scientists 527–530 publications: 5 scientists 531+ publications: 100 scientists
37 publications 531+

This scientist: 84 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 531 publications or more.

Gurutzeta Guillera-Arroita D-index placement in Ecology and Evolution in 2026

The chart shows the D-index (discipline H-index) distribution of Ecology and Evolution scientists ranked by Research.com in 2026. The highlighted bar marks where Gurutzeta Guillera-Arroita sits on this spectrum.

30 D-Index: 95 scientists 31 D-Index: 123 scientists 32 D-Index: 191 scientists 33 D-Index: 245 scientists 34 D-Index: 252 scientists 35 D-Index: 244 scientists 36 D-Index: 249 scientists 37 D-Index: 244 scientists 38 D-Index: 254 scientists 39 D-Index: 254 scientists 40 D-Index: 280 scientists 41 D-Index: 274 scientists 42 D-Index: 266 scientists 43 D-Index: 233 scientists 44 D-Index: 248 scientists 45 D-Index: 208 scientists 46 D-Index: 201 scientists 47 D-Index: 213 scientists 48 D-Index: 207 scientists 49 D-Index: 172 scientists 50 D-Index: 209 scientists 51 D-Index: 199 scientists 52 D-Index: 153 scientists 53 D-Index: 169 scientists 54 D-Index: 163 scientists 55 D-Index: 148 scientists 56 D-Index: 120 scientists 57 D-Index: 146 scientists 58 D-Index: 137 scientists 59 D-Index: 140 scientists 60 D-Index: 104 scientists 61 D-Index: 119 scientists 62 D-Index: 118 scientists 63 D-Index: 99 scientists 64 D-Index: 77 scientists 65 D-Index: 100 scientists 66 D-Index: 86 scientists 67 D-Index: 83 scientists 68 D-Index: 75 scientists 69 D-Index: 94 scientists 70 D-Index: 57 scientists 71 D-Index: 68 scientists 72 D-Index: 59 scientists 73 D-Index: 63 scientists 74 D-Index: 66 scientists 75 D-Index: 60 scientists 76 D-Index: 42 scientists 77 D-Index: 49 scientists 78 D-Index: 39 scientists 79 D-Index: 37 scientists 80 D-Index: 43 scientists 81 D-Index: 41 scientists 82 D-Index: 45 scientists 83 D-Index: 34 scientists 84 D-Index: 40 scientists 85 D-Index: 35 scientists 86 D-Index: 55 scientists 87 D-Index: 24 scientists 88 D-Index: 24 scientists 89 D-Index: 30 scientists 90 D-Index: 23 scientists 91 D-Index: 25 scientists 92 D-Index: 27 scientists 93 D-Index: 27 scientists 94 D-Index: 13 scientists 95 D-Index: 23 scientists 96 D-Index: 12 scientists 97 D-Index: 14 scientists 98 D-Index: 19 scientists 99 D-Index: 16 scientists 100 D-Index: 14 scientists 101 D-Index: 5 scientists 102 D-Index: 21 scientists 103 D-Index: 16 scientists 104 D-Index: 10 scientists 105 D-Index: 7 scientists 106 D-Index: 7 scientists 107 D-Index: 7 scientists 108 D-Index: 6 scientists 109 D-Index: 9 scientists 110 D-Index: 11 scientists 111 D-Index: 12 scientists 112 D-Index: 9 scientists 113 D-Index: 7 scientists 114 D-Index: 3 scientists 115 D-Index: 8 scientists 116 D-Index: 5 scientists 117 D-Index: 11 scientists 118 D-Index: 4 scientists 119 D-Index: 2 scientists 120 D-Index: 5 scientists 121+ D-Index: 100 scientists
30 D-Index 121+

This scientist: 45 D-Index — 44th percentile

44% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 121 D-Index or more.

Overview

Gurutzeta Guillera-Arroita is affiliated with the University of Melbourne in Australia. Their research primarily focuses on environmental science, with an emphasis on ecology and ecological modeling. The scientist's work spans several subfields, including ecology, nature and landscape conservation, and global and planetary change. Specific areas addressed include biodiversity, species distribution, wildlife ecology, and conservation.

The main topics covered in their research are:

  • Species Distribution and Climate Change
  • Wildlife Ecology and Conservation
  • Ecology and Vegetation Dynamics Studies
  • Plant and Animal Studies
  • Plant Pathogens and Fungal Diseases
  • Mycorrhizal Fungi and Plant Interactions
  • Conservation, Biodiversity, and Resource Management

Their recent publications demonstrate involvement in species distribution modeling and ecological methodology. Key papers include:

  • "A standard protocol for reporting species distribution models", 2020, Ecography
  • "Predictive performance of presence-only species distribution models: a benchmark study with reproducible code", 2021, Ecological Monographs
  • "Testing whether ensemble modelling is advantageous for maximising predictive performance of species distribution models", 2020, Ecography
  • "Modelling species presence-only data with random forests", 2021, Ecography
  • "Defining and evaluating predictions of joint species distribution models", 2020, Methods in Ecology and Evolution

Gurutzeta Guillera-Arroita frequently publishes in venues such as:

  • Ecography
  • Methods in Ecology and Evolution
  • Proceedings of the National Academy of Sciences
  • Ecological Monographs
  • Trends in Ecology & Evolution

The scientist collaborates often with other researchers, including:

  • Jane Elith
  • José J. Lahoz-Monfort
  • Michael A. McCarthy
  • Natalie J. Briscoe
  • Damaris Zurell

Best Publications

  • Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure

    David R. Roberts;Volker Bahn;Simone Ciuti;Mark S. Boyce

  • Is my species distribution model fit for purpose? Matching data and models to applications

    Gurutzeta Guillera-Arroita;José J. Lahoz-Monfort;Jane Elith;Ascelin Gordon

  • A standard protocol for reporting species distribution models

    Damaris Zurell;Janet Franklin;Christian König;Phil J. Bouchet

  • blockCV: An r package for generating spatially or environmentally separated folds for k‐fold cross‐validation of species distribution models

    Roozbeh Valavi;Jane Elith;José J. Lahoz-Monfort;Gurutzeta Guillera-Arroita

  • Predictive performance of presence-only species distribution models: a benchmark study with reproducible code

    Roozbeh Valavi;Gurutzeta Guillera-Arroita;José J. Lahoz-Monfort;Jane Elith

  • A review of evidence about use and performance of species distribution modelling ensembles like BIOMOD

    Tianxiao Hao;Jane Elith;Gurutzeta Guillera‐Arroita;José J. Lahoz‐Monfort

  • Testing whether ensemble modelling is advantageous for maximising predictive performance of species distribution models

    Tianxiao Hao;Jane Elith;José J. Lahoz‐Monfort;Gurutzeta Guillera‐Arroita

  • Modelling of species distributions, range dynamics and communities under imperfect detection: advances, challenges and opportunities

    Gurutzeta Guillera‐Arroita

  • Model averaging in ecology: a review of Bayesian, information-theoretic, and tactical approaches for predictive inference

    Carsten F. Dormann;Justin M. Calabrese;Gurutzeta Guillera-Arroita;Eleni Matechou

  • Data Integration for Large-Scale Models of Species Distributions

    Nick J.B. Isaac;Marta A. Jarzyna;Petr Keil;Lea I. Dambly

  • Imperfect detection impacts the performance of species distribution models

    José J. Lahoz‐Monfort;Gurutzeta Guillera‐Arroita;Brendan A. Wintle

  • Modelling species presence-only data with random forests

    Roozbeh Valavi;Jane Elith;José J. Lahoz-Monfort;Gurutzeta Guillera-Arroita

  • Deep-sea diversity patterns are shaped by energy availability

    Skipton N. C. Woolley;Skipton N. C. Woolley;Derek P. Tittensor;Derek P. Tittensor;Piers K. Dunstan;Gurutzeta Guillera-Arroita

  • Design of occupancy studies with imperfect detection

    Gurutzeta Guillera-Arroita;Martin S. Ridout;Byron J. T. Morgan

  • Forecasting species range dynamics with process-explicit models: matching methods to applications

    Natalie J. Briscoe;Jane Elith;Roberto Salguero‐Gómez;Roberto Salguero‐Gómez;Roberto Salguero‐Gómez;José J. Lahoz‐Monfort

  • When do we need more data? A primer on calculating the value of information for applied ecologists

    Stefano Canessa;Stefano Canessa;Gurutzeta Guillera‐Arroita;José J. Lahoz‐Monfort;Darren M. Southwell

  • Ignoring Imperfect Detection in Biological Surveys Is Dangerous: A Response to 'Fitting and Interpreting Occupancy Models'

    Gurutzeta Guillera-Arroita;José J. Lahoz-Monfort;Darryl I. MacKenzie;Brendan A. Wintle

  • Designing studies to detect differences in species occupancy: power analysis under imperfect detection

    Gurutzeta Guillera-Arroita;José J. Lahoz-Monfort

  • Statistical approaches to account for false-positive errors in environmental DNA samples.

    José J. Lahoz-Monfort;Gurutzeta Guillera-Arroita;Reid Tingley

  • Maxent is not a presence–absence method: a comment on Thibaud et al.

    Gurutzeta Guillera-Arroita;José J. Lahoz-Monfort;Jane Elith

  • Analysing and mapping species range dynamics using occupancy models

    Marc Kéry;Gurutzeta Guillera-Arroita;Gurutzeta Guillera-Arroita;José J. Lahoz-Monfort;José J. Lahoz-Monfort

Frequent Co-Authors

José J. Lahoz-Monfort
José J. Lahoz-Monfort University of Melbourne
Jane Elith
Jane Elith University of Melbourne
Brendan A. Wintle
Brendan A. Wintle University of Melbourne
Michael A. McCarthy
Michael A. McCarthy University of Melbourne
Matthew Linkie
Matthew Linkie Wildlife Conservation Society
Byron J. T. Morgan
Byron J. T. Morgan University of Kent
Marc Kéry
Marc Kéry Swiss Ornithological Institute
Reid Tingley
Reid Tingley University of Melbourne
Jane A. Catford
Jane A. Catford King's College London
James E. M. Watson
James E. M. Watson University of Queensland

External Links

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Related Online Degrees & Career Pathways

If you’re interested in Ecology and Evolution, you may also want to explore related online degrees that can broaden your knowledge and expand your career options. Many veteran friendly online colleges now offer flexible programs designed for students with diverse backgrounds—including those transitioning from military service to academic and research careers.

Another promising pathway is through advanced roles in social and behavioral sciences. You might consider lcsw online programs or accelerated masters psychology programs to quickly gain credentials for working with diverse populations or researching human-environment interactions.

For those interested in community health, fast track mental health counseling may be an attractive choice, especially if you hope to address mental health challenges linked to environmental or ecological change. Each of these fields can complement a background in Ecology and Evolution, opening doors to interdisciplinary research, policy-making, or direct service roles.

Best Scientists Citing Gurutzeta Guillera-Arroita

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