World's Best Scientists 2026 revealed!

D-Index & Metrics

Ecology and Evolution

D-Index
85
Citations
25817
World Ranking
640
National Ranking
97

Samuel A. Cushman 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 Samuel A. Cushman 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: 307 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Samuel A. Cushman 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 Samuel A. Cushman 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: 85 D-Index — 93rd percentile

93% 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

  • 1999 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Samuel A. Cushman is affiliated with the University of Oxford in the United Kingdom. Their research primarily focuses on environmental science, with extensive work in ecology, ecological modeling, and global and planetary change.

Their work covers multiple subfields, including:

  • Ecology
  • Ecological Modeling
  • Global and Planetary Change
  • Nature and Landscape Conservation
  • Genetics

Main topics in their research include:

  • Wildlife Ecology and Conservation
  • Species Distribution and Climate Change
  • Wildlife-Road Interactions and Conservation
  • Ecology and Vegetation Dynamics Studies
  • Land Use and Ecosystem Services
  • Fire effects on ecosystems
  • Plant and animal studies

Frequent co-authors collaborating with them include:

  • Żaneta Kaszta
  • David W. Macdonald
  • Ho Yi Wan
  • Andrew J. Hearn
  • Eric Ash

They have published extensively in venues such as:

  • Landscape Ecology
  • Ecological Modelling
  • SSRN Electronic Journal
  • Animal Conservation
  • Biological Conservation

Selected recent papers demonstrate their focus on habitat and wildlife conservation:

  • "A multi-scale, multi-species approach for assessing effectiveness of habitat and connectivity conservation for endangered felids" (2020, Biological Conservation)
  • "Machine learning in landscape ecological analysis: a review of recent approaches" (2021, Landscape Ecology)
  • "Prioritizing habitat core areas and corridors for a large carnivore across its range" (2020, Animal Conservation)
  • "Identifying priority core habitats and corridors for effective conservation of brown bears in Iran" (2021, Scientific Reports)
  • "Species and space: a combined gap analysis to guide management planning of conservation areas" (2020, Landscape Ecology)

Their research integrates habitat prioritization, landscape connectivity, and the use of machine learning methods to address conservation challenges.

In 1999, they were recognized as a Fellow of the American Association for the Advancement of Science (AAAS).

Best Publications

  • Effects of habitat loss and fragmentation on amphibians: A review and prospectus

    Unknown

  • COMPARATIVE EVALUATION OF EXPERIMENTAL APPROACHES TO THE STUDY OF HABITAT FRAGMENTATION EFFECTS

    Kevin McGarigal;Samuel A. Cushman

  • Gene Flow in Complex Landscapes: Testing Multiple Hypotheses with Causal Modeling.

    Samuel A. Cushman;Kevin Scot McKelvey;Jim Hayden;Michael K. Schwartz

  • Parsimony in landscape metrics: Strength, universality, and consistency

    Samuel A. Cushman;Kevin McGarigal;Maile C. Neel

  • Multi-scale habitat selection modeling: a review and outlook

    Kevin McGarigal;Ho Yi Wan;Kathy A. Zeller;Brad C. Timm

  • Quantifying the lag time to detect barriers in landscape genetics

    E. L. Landguth;S. A. Cushman;M. K. Schwartz;K. S. McKELVEY

  • Surface metrics: an alternative to patch metrics for the quantification of landscape structure

    Kevin McGarigal;Sermin Tagil;Samuel A. Cushman

  • Applications of landscape genetics in conservation biology: concepts and challenges

    Gernot Segelbacher;Samuel A. Cushman;Bryan K. Epperson;Marie Josée Fortin

  • Behavior of class-level landscape metrics across gradients of class aggregation and area

    Maile C. Neel;Kevin McGarigal;Samuel A. Cushman

  • Modeling species distribution and change using random forest [Chapter 8]

    Jeffrey S. Evans;Melanie A. Murphy;Zachary A. Holden;Samuel A. Cushman

  • Hierarchical, Multi-scale decomposition of species-environment relationships

    Samuel A. Cushman;Kevin McGarigal

  • Gradient modeling of conifer species using random forests

    Jeffrey S. Evans;Samuel A. Cushman

  • A resistant-kernel model of connectivity for amphibians that breed in vernal pools.

    Bradley W. Compton;Kevin McGARIGAL;Samuel A. Cushman;Lloyd R. Gamble

  • Issues and Perspectives in Landscape Ecology: The gradient concept of landscape structure

    Kevin McGarigal;Samuel A. Cushman

  • Spurious correlations and inference in landscape genetics

    Samuel A. Cushman;Erin L. Landguth

  • Inferring landscape effects on gene flow: a new model selection framework

    Unknown

  • Wolverine gene flow across a narrow climatic niche.

    Michael K. Schwartz;Jeffrey P. Copeland;Neil J. Anderson;John R. Squires

  • The devil is in the dispersers: predictions of landscape connectivity change with demography

    Nicholas B. Elliot;Samuel A. Cushman;David W. Macdonald;Andrew J. Loveridge

  • Landscape genetics : concepts, methods, applications

    Niko Balkenhol;Samuel A. Cushman;Andrew T. Storfer;Lisette P. Waits

  • Identifying future research needs in landscape genetics: Where to from here?

    Niko Balkenhol;Felix Gugerli;Sam A. Cushman;Lisette P. Waits

  • Utility of computer simulations in landscape genetics

    Bryan K Epperson;Brad H. McRae;Kim T. Scribner;Samuel A. Cushman

  • Why replication is important in landscape genetics: American black bear in the Rocky Mountains.

    R. A. Short Bull;Samuel Cushman;R. Mace;T. Chilton

  • Use of empirically derived source-destination models to map regional conservation corridors

    Samuel A. Cushman;Kevin S. McKELVEY;Michael K. Schwartz

  • Spatial complexity, informatics, and wildlife conservation

    Samuel A. Cushman;Falk Huettmann

Frequent Co-Authors

Erin L. Landguth
Erin L. Landguth University of Montana
Kevin S. McKelvey
Kevin S. McKelvey US Forest Service
Kevin McGarigal
Kevin McGarigal University of Massachusetts Amherst
Michael K. Schwartz
Michael K. Schwartz US Forest Service
David W. Macdonald
David W. Macdonald University of Oxford
Jeffrey S. Evans
Jeffrey S. Evans The Nature Conservancy
Niko Balkenhol
Niko Balkenhol University of Göttingen
Lisette P. Waits
Lisette P. Waits University of Idaho
Gordon Luikart
Gordon Luikart University of Montana
Santiago Saura
Santiago Saura Technical University of Madrid

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