World's Best Scientists 2026 revealed!

D-Index & Metrics

Ecology and Evolution

D-Index
74
Citations
80712
World Ranking
1078
National Ranking
89

Jane Elith 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 Jane Elith 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: 106 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Jane Elith 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 Jane Elith 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: 74 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2017 - Fellow of the Australian Academy of Science

Overview

Jane Elith is affiliated with the University of Melbourne in Australia and is a researcher focused on Environmental Science, with a substantial body of work in subfields such as Ecological Modeling, Ecology, Nature and Landscape Conservation, Cell Biology, and Plant Science. Their research topics frequently include Species Distribution and Climate Change, Wildlife Ecology and Conservation, Ecology and Vegetation Dynamics Studies, Plant Pathogens and Fungal Diseases, Mycorrhizal Fungi and Plant Interactions, Fire effects on ecosystems, and Environmental DNA in Biodiversity Studies.

Their recent papers demonstrate a focus on species distribution models, ecological predictive methods, and data modeling techniques. Notable publications 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
  • Presence-only and Presence-absence Data for Comparing Species Distribution Modeling Methods, 2020, Biodiversity Informatics

Jane Elith frequently collaborates with a group of co-authors, including Gurutzeta Guillera-Arroita, José J. Lahoz-Monfort, Roozbeh Valavi, Tianxiao Hao, and Tom W. May. These collaborations span multiple projects and reflect interconnected research interests primarily within ecological modeling and species distribution.

The primary venues for Jane Elith's publications include Ecography, where they have published five papers, followed by Conservation Biology and bioRxiv (Cold Spring Harbor Laboratory) with two publications each. Other publication venues include Ecological Monographs and Biodiversity Informatics.

Jane Elith is recognized by the Australian scientific community, having been named a Fellow of the Australian Academy of Science in 2017.

Best Publications

  • Collinearity: a review of methods to deal with it and a simulation study evaluating their performance

    Carsten F. Dormann;Jane Elith;Sven Bacher;Carsten Buchmann

  • Novel methods improve prediction of species' distributions from occurrence data

    Jane Elith;Catherine H. Graham;Robert P. Anderson;Miroslav Dudík

  • Species Distribution Models: Ecological Explanation and Prediction Across Space and Time

    Jane Elith;John R. Leathwick

  • A statistical explanation of MaxEnt for ecologists

    Jane Elith;Steven J. Phillips;Trevor Hastie;Miroslav Dudík

  • A working guide to boosted regression trees

    J. Elith;J. R. Leathwick;T. Hastie

  • Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data

    Steven J. Phillips;Miroslav Dudík;Jane Elith;Catherine H. Graham

  • The art of modelling range-shifting species

    Jane Elith;Michael Kearney;Steven Phillips

  • Predicting species distributions for conservation decisions

    A. Guisan;R. Tingley;J. B. Baumgartner;I. Naujokaitis-Lewis

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

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

  • Species distribution modeling with R

    Robert J. Hijmans;Jane Elith

  • Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models

    Jane Elith;Catherine H. Graham

  • Using generalized dissimilarity modelling to analyse and predict patterns of beta diversity in regional biodiversity assessment

    Simon Ferrier;Glenn Manion;Jane Elith;Karen Richardson

  • 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

  • Error and uncertainty in habitat models

    Simon Barry;Jane Elith

  • A standard protocol for reporting species distribution models

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

  • What do we gain from simplicity versus complexity in species distribution models

    Cory Merow;Cory Merow;Cory Merow;Matthew J. Smith;Thomas C. Edwards;Antoine Guisan

  • Variation in demersal fish species richness in the oceans surrounding New Zealand: an analysis using boosted regression trees

    J. R. Leathwick;J. Elith;M. P. Francis;T. Hastie

  • 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

  • Sensitivity of predictive species distribution models to change in grain size

    Antoine Guisan;Catherine H. Graham;Jane Elith;Falk Huettmann

  • Outstanding Challenges in the Transferability of Ecological Models.

    Katherine L. Yates;Katherine L. Yates;Phil J. Bouchet;M Julian Caley;Kerrie Mengersen

  • The influence of spatial errors in species occurrence data used in distribution models

    Catherine H Graham;Jane Elith;Robert J Hijmans;Antoine Guisan

Frequent Co-Authors

David A. Keith
David A. Keith University of New South Wales
John R. Leathwick
John R. Leathwick Department of Conservation
José J. Lahoz-Monfort
José J. Lahoz-Monfort University of Melbourne
Trevor Hastie
Trevor Hastie Stanford University
Brendan A. Wintle
Brendan A. Wintle University of Melbourne
Gurutzeta Guillera-Arroita
Gurutzeta Guillera-Arroita University of Melbourne
Mark A. Burgman
Mark A. Burgman Imperial College London
Antoine Guisan
Antoine Guisan University of Lausanne
Tracey J. Regan
Tracey J. Regan Arthur Rylah Institute for Environmental Research
Wilfried Thuiller
Wilfried Thuiller Grenoble Alpes University

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