World's Best Scientists 2026 revealed!

D-Index & Metrics

Ecology and Evolution

D-Index
69
Citations
25666
World Ranking
1407
National Ranking
184

Mathematics

D-Index
60
Citations
31204
World Ranking
531
National Ranking
41

Stephen T. Buckland publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Stephen T. Buckland sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 164 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Stephen T. Buckland D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Stephen T. Buckland sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 60 D-Index — 85th percentile

85% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Research.com Recognitions

  • 2007 - Fellow of the Royal Society of Edinburgh

Overview

Stephen T. Buckland is affiliated with the University of St Andrews in the United Kingdom. Their research primarily focuses on Environmental Science, with a significant number of publications in Ecology, Global and Planetary Change, Ecological Modeling, Nature and Landscape Conservation, and Statistics and Probability.

The main topics covered in their work involve Wildlife Ecology and Conservation, Species Distribution and Climate Change, Marine animal studies overview, Ecology and Vegetation Dynamics Studies, Marine and fisheries research, Rangeland and Wildlife Management, and Animal Ecology and Behavior Studies.

Frequent co-authors collaborating with them include David L. Borchers, Tim Gerrodette, Michael Scott, Richard J. Camp, and David L. Miller.

Their publications appear regularly in several venues, with notable appearances in

  • The "journal of cetacean research and management. Special issue
  • Ecology and Evolution
  • Science
  • Ecography
  • Oryx

Recent papers authored or co-authored by Stephen T. Buckland include

  • Estimated trends in abundance of eastern Pacific gray whales from shore counts (1967/68 to 1995/96), 2023, The "journal of cetacean research and management. Special issue
  • Fire and biodiversity in the Anthropocene, 2020, Science
  • Using density surface models to estimate spatio-temporal changes in population densities and trend, 2020, Ecography
  • Incorporating Animal Movement Into Distance Sampling, 2020, Journal of the American Statistical Association
  • Using distance sampling with camera traps to estimate the density of group-living and solitary mountain ungulates, 2021, Oryx

Stephen T. Buckland was recognized as a Fellow of the Royal Society of Edinburgh in 2007.

Best Publications

  • Introduction to Distance Sampling: Estimating Abundance of Biological Populations

    S.T. Buckland;D.R. Anderson;K.P. Burnham;J.L. Laake

  • Distance Sampling: Estimating abundance of biological populations

    S. T. Buckland

  • Distance software: design and analysis of distance sampling surveys for estimating population size.

    Len Thomas;Stephen T. Buckland;Eric A. Rexstad;Jeff L. Laake

  • An Introduction to the Bootstrap.

    S. T. Buckland;B. Efron;R. J. Tibshirani

  • Distance Sampling-Estimating Abundance of Biological Populations.

    P. Sprent;S. T. Buckland;D. R. Anderson;K. P. Burnham

  • Model selection: An integral part of inference

    S. T. Buckland;K. P. Burnham;N. H. Augustin

  • Advanced distance sampling

    S. T. Buckland;D. R. Anderson;Kenneth P. Burnham;J. L. Laake

  • Long-term datasets in biodiversity research and monitoring: assessing change in ecological communities through time

    Anne E. Magurran;Stephen R. Baillie;Stephen T. Buckland;Jan McP. Dick

  • An autologistic model for the spatial distribution of wildlife

    N. H. Augustin;M. A. Mugglestone;S. T. Buckland

  • Trends in the abundance of farmland birds: a quantitative comparison of smoothed Common Birds Census indices

    Gavin M. Siriwardena;Gavin M. Siriwardena;Stephen R. Baillie;Stephen T. Buckland;Rachel M. Fewster

  • Distance Sampling: Methods and Applications

    S. T. Buckland;E. A. Rexstad;T. A. Marques;C. S. Oedekoven

  • Fire and biodiversity in the Anthropocene

    Luke T. Kelly;Katherine M. Giljohann;Andrea Duane;Nuria Aquilue

  • Monitoring change in biodiversity through composite indices

    S.T Buckland;A.E Magurran;R.E Green;R.M Fewster

  • Estimating Animal Abundance: Closed Populations

    D. L. Borchers;S. T. Buckland;W. Zucchini

  • ANALYSIS OF POPULATION TRENDS FOR FARMLAND BIRDS USING GENERALIZED ADDITIVE MODELS

    Rachel M. Fewster;Stephen T. Buckland;Gavin M. Siriwardena;Gavin M. Siriwardena;Stephen R. Baillie

  • Estimating Animal Abundance

    D. L. Borchers;S. T. Buckland;W. Zucchini

  • State-space models for the dynamics of wild animal populations

    S.T. Buckland;K.B. Newman;L. Thomas;N.B. Koesters

  • Estimating deer abundance from line transect surveys of dung: sika deer in southern Scotland

    Fernanda F.C. Marques;Stephen T. Buckland;David Goffin;Camilla E. Dixon

  • Spatial models for line transect sampling

    Sharon L Hedley;Stephen T Buckland

  • IMPROVING ESTIMATES OF BIRD DENSITY USING MULTIPLE- COVARIATE DISTANCE SAMPLING

    Tiago A. Marques;Tiago A. Marques;Len Thomas;Steven G. Fancy;Stephen T. Buckland

  • Bootstrap Methods and Their Application

    S. T. Buckland;A. C. Davison;D. V. Hinkley

  • Estimating bird abundance : making methods work

    Stephen T. Buckland;Stuart J. Marsden;Rhys E. Green

  • Incorporating covariates into standard line transect analyses.

    Fernanda F. C. Marques;Stephen T. Buckland

  • Quantifying Precision of Mark-Recapture Estimates Using the Bootstrap and Related Methods

    Stephen T. Buckland;Paul H. Garthwaite

  • Computer Intensive Statistical Methods: Validation Model Selection and Bootstrap.

    S. T. Buckland;J. S. U. Hjorth

  • Wildlife Monographs: Estimation of Density from Line Transect Sampling of Biological Populations

    S. T. Buckland;Kenneth P. Burnham;David R. Anderson;Jeffrey L. Lake

Frequent Co-Authors

Len Thomas
Len Thomas University of St Andrews
David A. Elston
David A. Elston James Hutton Institute
Byron J. T. Morgan
Byron J. T. Morgan University of Kent
Olivier Gimenez
Olivier Gimenez Centre national de la recherche scientifique, CNRS
Stephen R. Baillie
Stephen R. Baillie British Trust for Ornithology
Alison Johnston
Alison Johnston Cornell University
Paul H. Garthwaite
Paul H. Garthwaite The Open University
Anne E. Magurran
Anne E. Magurran University of St Andrews
Andrew J. Plumptre
Andrew J. Plumptre BirdLife international, UK
Stuart E. Newson
Stuart E. Newson British Trust for Ornithology

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