World's Best Scientists 2026 revealed!

D-Index & Metrics

Ecology and Evolution

D-Index
61
Citations
12791
World Ranking
2209
National Ranking
794

Erica Fleishman 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 Erica Fleishman 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: 199 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Erica Fleishman 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 Erica Fleishman 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: 61 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Overview

Erica Fleishman is affiliated with Oregon State University in the United States and specializes in Environmental Science. Their research spans multiple subfields including Ecology, Global and Planetary Change, Ecological Modeling, Management, Monitoring, Policy and Law, and Atmospheric Science.

Their work has been published frequently in venues such as Trends in Ecology & Evolution, Forest Service Research Data Archive, Zenodo (CERN European Organization for Nuclear Research), Scientific Reports, and Earth's Future. These diverse platforms reflect the interdisciplinary nature of their research.

Fleishman's main topics of research encompass a variety of ecological and environmental concerns. These include:

  • Fire effects on ecosystems
  • Rangeland and Wildlife Management
  • Species Distribution and Climate Change
  • Marine animal studies overview
  • Wildlife Ecology and Conservation
  • Avian ecology and behavior
  • Underwater Acoustics Research

Their recent publications illustrate a focus on conservation biology, ecological modeling, and automated detection technologies related to animal species. Notable recent papers include:

  • "Deep neural networks for automated detection of marine mammal species," 2020, Scientific Reports
  • "A horizon scan of global biological conservation issues for 2022," 2021, Trends in Ecology & Evolution
  • "A 2021 Horizon Scan of Emerging Global Biological Conservation Issues," 2020, Trends in Ecology & Evolution
  • "Training future generations to deliver evidence-based conservation and ecosystem management," 2021, Ecological Solutions and Evidence
  • "Improve automatic detection of animal call sequences with temporal context," 2021, Journal of The Royal Society Interface

Frequent collaborators include Marie A. Roch, Eva-Marie Nosal, Douglas Gillespie, Holger Klinck, and Martha W. Zillig, each having coauthored multiple publications with Fleishman, indicating sustained research partnerships.

Best Publications

  • Horizon scan of global conservation issues for 2011

    William J. Sutherland;Rosalind Aveling;Thomas M. Brooks;Mick Clout

  • One Hundred Questions of Importance to the Conservation of Global Biological Diversity

    W.J. Sutherland;W.M. Adams;R.B. Aronson;R. Aveling

  • Methods for collaboratively identifying research priorities and emerging issues in science and policy

    William J. Sutherland;Erica Fleishman;Michael B. Mascia;Jules Pretty

  • Utility and limitations of species richness metrics for conservation planning

    Erica Fleishman;Reed F. Noss;Barry R. Noon

  • Assessing the Roles of Patch Quality, Area, and Isolation in Predicting Metapopulation Dynamics

    Erica Fleishman;Chris Ray;Per Sjögren-Gulve;Carol L. Boggs

  • A NEW METHOD FOR SELECTION OF UMBRELLA SPECIES FOR CONSERVATION PLANNING

    Erica Fleishman;Dennis D. Murphy;Peter F. Brussard

  • Coefficient shifts in geographical ecology: an empirical evaluation of spatial and non-spatial regression

    L. Mauricio Bini;J. Alexandre F. Diniz-Filho;Thiago F.L.V.B. Rangel;Thomas S.B. Akre

  • Understanding the population consequences of disturbance.

    Enrico Pirotta;Enrico Pirotta;Cormac G. Booth;Daniel P. Costa;Erica Fleishman;Erica Fleishman

  • Ten ways remote sensing can contribute to conservation

    Robert A. Rose;Dirck Byler;J. Ron Eastman;Erica Fleishman

  • AN EMPIRICAL TEST OF RAPOPORT'S RULE: ELEVATIONAL GRADIENTS IN MONTANE BUTTERFLY COMMUNITIES

    Erica Fleishman;George T. Austin;Andrew D. Weiss

  • Linking spatial patterns of bird and butterfly species richness with Landsat TM derived NDVI

    K. C. Seto;E. Fleishman;J. P. Fay;C. J. Betrus

  • Using short-term measures of behaviour to estimate long-term fitness of southern elephant seals

    Leslie F. New;James S. Clark;Daniel P. Costa;E. Fleishman;E. Fleishman

  • Effects of floristics, physiognomy and non‐native vegetation on riparian bird communities in a Mojave Desert watershed

    Erica Fleishman;Neil McDonal;Ralph Charles Mac Nally;Dennis D Murphy

  • Bayesian change point analysis of abundance trends for pelagic fishes in the upper San Francisco Estuary

    James Robertson Thomson;Wim Kimmerer;Larry Brown;Ken Newman

  • Using Indicator Species to Predict Species Richness of Multiple Taxonomic Groups

    Erica Fleishman;James Robertson Thomson;Ralph Charles Mac Nally;Dennis D Murphy

  • Analysis of pelagic species decline in the upper San Francisco Estuary using multivariate autoregressive modeling (MAR)

    Ralph Charles Mac Nally;James Robertson Thomson;Wim Kimmerer;Frederick Feyrer

  • Deep neural networks for automated detection of marine mammal species

    Yu Shiu;Kaitlin Palmer;Marie Roch;Erica Fleishman

  • A successful predictive model of species richness based on indicator species

    Ralph Charles Mac Nally;Erica Fleishman

  • Primary productivity and species richness: relationships among functional guilds, residency groups and vagility classes at multiple spatial scales

    S.-A. Bailey;M. C. Horner-Devine;G. Luck;L. A. Moore

  • Options for National Parks and Reserves for Adapting to Climate Change

    Jill S. Baron;Jill S. Baron;Lance Gunderson;Craig D. Allen;Erica Fleishman

  • EMPIRICAL VALIDATION OF A METHOD FOR UMBRELLA SPECIES SELECTION

    Erica Fleishman;Robert B. Blair;Dennis D. Murphy

  • Modeling and Predicting Species Occurrence Using Broad-Scale Environmental Variables: an Example with Butterflies of the Great Basin

    Erica Fleishman;Ralph Charles Mac Nally;John P Fay;Dennis D Murphy

  • Predicting species distributions across the Amazonian and Andean regions using remote sensing data. Commentary

    Bethany A. Bradley;Erica Fleishman;Wolfgang Buermann;Sassan Saatchi

Frequent Co-Authors

Ralph Charles Mac Nally
Ralph Charles Mac Nally University of Canberra
Dennis D. Murphy
Dennis D. Murphy University of Nevada Reno
James Robertson Thomson
James Robertson Thomson Arthur Rylah Institute for Environmental Research
William J. Sutherland
William J. Sutherland University of Cambridge
Mark Spalding
Mark Spalding University of Cambridge
Lloyd S. Peck
Lloyd S. Peck British Antarctic Survey
Lynn V. Dicks
Lynn V. Dicks University of Cambridge
Jules Pretty
Jules Pretty University of Essex
James W. Pearce-Higgins
James W. Pearce-Higgins British Trust for Ornithology
Barry R. Noon
Barry R. Noon Colorado State University

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