World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
44
Citations
22203
World Ranking
6567
National Ranking
154

Anthony Lehmann publication distribution in Environmental Sciences in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Environmental Sciences in 2026. The highlighted bar marks where Anthony Lehmann sits on this spectrum.

41–50 publications: 21 scientists 51–60 publications: 62 scientists 61–70 publications: 133 scientists 71–80 publications: 257 scientists 81–90 publications: 361 scientists 91–100 publications: 440 scientists 101–110 publications: 492 scientists 111–120 publications: 541 scientists 121–130 publications: 617 scientists 131–140 publications: 544 scientists 141–150 publications: 541 scientists 151–160 publications: 539 scientists 161–170 publications: 444 scientists 171–180 publications: 444 scientists 181–190 publications: 400 scientists 191–200 publications: 377 scientists 201–210 publications: 318 scientists 211–220 publications: 283 scientists 221–230 publications: 263 scientists 231–240 publications: 220 scientists 241–250 publications: 217 scientists 251–260 publications: 180 scientists 261–270 publications: 181 scientists 271–280 publications: 155 scientists 281–290 publications: 130 scientists 291–300 publications: 127 scientists 301–310 publications: 130 scientists 311–320 publications: 85 scientists 321–330 publications: 106 scientists 331–340 publications: 80 scientists 341–350 publications: 83 scientists 351–360 publications: 75 scientists 361–370 publications: 69 scientists 371–380 publications: 52 scientists 381–390 publications: 54 scientists 391–400 publications: 56 scientists 401–410 publications: 44 scientists 411–420 publications: 40 scientists 421–430 publications: 36 scientists 431–440 publications: 25 scientists 441–450 publications: 25 scientists 451–460 publications: 32 scientists 461–470 publications: 29 scientists 471–480 publications: 21 scientists 481–490 publications: 26 scientists 491–500 publications: 25 scientists 501–510 publications: 17 scientists 511–520 publications: 18 scientists 521–530 publications: 15 scientists 531–540 publications: 22 scientists 541–550 publications: 12 scientists 551–560 publications: 15 scientists 561–570 publications: 11 scientists 571–580 publications: 19 scientists 581–590 publications: 9 scientists 591–600 publications: 9 scientists 601–610 publications: 7 scientists 611–620 publications: 11 scientists 621–630 publications: 5 scientists 631–640 publications: 5 scientists 641–650 publications: 6 scientists 651–660 publications: 3 scientists 661–670 publications: 3 scientists 671–680 publications: 4 scientists 681–686 publications: 3 scientists 687+ publications: 100 scientists
41 publications 687+

This scientist: 159 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 687 publications or more.

Anthony Lehmann D-index placement in Environmental Sciences in 2026

The chart shows the D-index (discipline H-index) distribution of Environmental Sciences scientists ranked by Research.com in 2026. The highlighted bar marks where Anthony Lehmann sits on this spectrum.

30 D-Index: 12 scientists 31 D-Index: 26 scientists 32 D-Index: 51 scientists 33 D-Index: 88 scientists 34 D-Index: 123 scientists 35 D-Index: 163 scientists 36 D-Index: 206 scientists 37 D-Index: 267 scientists 38 D-Index: 265 scientists 39 D-Index: 275 scientists 40 D-Index: 321 scientists 41 D-Index: 343 scientists 42 D-Index: 305 scientists 43 D-Index: 336 scientists 44 D-Index: 330 scientists 45 D-Index: 348 scientists 46 D-Index: 291 scientists 47 D-Index: 275 scientists 48 D-Index: 272 scientists 49 D-Index: 273 scientists 50 D-Index: 263 scientists 51 D-Index: 232 scientists 52 D-Index: 266 scientists 53 D-Index: 217 scientists 54 D-Index: 199 scientists 55 D-Index: 177 scientists 56 D-Index: 202 scientists 57 D-Index: 204 scientists 58 D-Index: 166 scientists 59 D-Index: 177 scientists 60 D-Index: 166 scientists 61 D-Index: 152 scientists 62 D-Index: 143 scientists 63 D-Index: 150 scientists 64 D-Index: 124 scientists 65 D-Index: 119 scientists 66 D-Index: 120 scientists 67 D-Index: 118 scientists 68 D-Index: 82 scientists 69 D-Index: 98 scientists 70 D-Index: 94 scientists 71 D-Index: 105 scientists 72 D-Index: 74 scientists 73 D-Index: 84 scientists 74 D-Index: 70 scientists 75 D-Index: 67 scientists 76 D-Index: 78 scientists 77 D-Index: 60 scientists 78 D-Index: 59 scientists 79 D-Index: 52 scientists 80 D-Index: 47 scientists 81 D-Index: 38 scientists 82 D-Index: 48 scientists 83 D-Index: 42 scientists 84 D-Index: 42 scientists 85 D-Index: 43 scientists 86 D-Index: 29 scientists 87 D-Index: 37 scientists 88 D-Index: 29 scientists 89 D-Index: 30 scientists 90 D-Index: 34 scientists 91 D-Index: 20 scientists 92 D-Index: 22 scientists 93 D-Index: 17 scientists 94 D-Index: 19 scientists 95 D-Index: 24 scientists 96 D-Index: 21 scientists 97 D-Index: 20 scientists 98 D-Index: 24 scientists 99 D-Index: 17 scientists 100 D-Index: 17 scientists 101 D-Index: 21 scientists 102 D-Index: 25 scientists 103 D-Index: 18 scientists 104 D-Index: 26 scientists 105 D-Index: 19 scientists 106 D-Index: 15 scientists 107 D-Index: 10 scientists 108 D-Index: 13 scientists 109 D-Index: 15 scientists 110 D-Index: 12 scientists 111 D-Index: 8 scientists 112 D-Index: 7 scientists 113 D-Index: 9 scientists 114 D-Index: 6 scientists 115 D-Index: 12 scientists 116 D-Index: 7 scientists 117 D-Index: 8 scientists 118 D-Index: 3 scientists 119 D-Index: 5 scientists 120 D-Index: 7 scientists 121 D-Index: 2 scientists 122 D-Index: 4 scientists 123 D-Index: 8 scientists 124 D-Index: 7 scientists 125+ D-Index: 99 scientists
30 D-Index 125+

This scientist: 44 D-Index — 32nd percentile

32% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 125 D-Index or more.

Overview

Anthony Lehmann is affiliated with the University of Geneva in Switzerland and focuses on research within the field of environmental science. Their work spans multiple subfields including global and planetary change, ecology, ecological modeling, nature and landscape conservation, and geography, planning, and development.

The primary topics addressed in their research include land use and ecosystem services, species distribution and climate change, wildlife ecology and conservation, ecology and vegetation dynamics studies, wildlife-road interactions and conservation, remote sensing in agriculture, and geographic information systems studies.

Lehmann has contributed to several recent papers, including:

  • "Knowledge generation using satellite earth observations to support sustainable development goals (SDG): A use case on Land degradation" (2020), published in International Journal of Applied Earth Observation and Geoinformation
  • "Implementing Green Infrastructure for the Spatial Planning of Peri-Urban Areas in Geneva, Switzerland" (2020), published in Sustainability
  • "Methods for identifying green infrastructure" (2020), published in SN Applied Sciences
  • "Too many candidates: Embedded covariate selection procedure for species distribution modelling with the covsel R package" (2023), published in Ecological Informatics
  • "Towards integrated essential variables for sustainability" (2020), published in International Journal of Digital Earth

Frequent collaborators in Lehmann's work include Grégory Giuliani, Antoine Adde, Antoine Guisan, Nathan Külling, and Blaise Petitpierre.

Publications by Lehmann often appear in Environmental Science & Policy, SSRN Electronic Journal, Ecography, Land, and Scientific Data, indicating a presence in both interdisciplinary and specialized environmental science outlets.

Lehmann has contributed to book publications, including at least one title released by Springer Nature: "Recent Advances in Environmental Science from the Euro-Mediterranean and Surrounding Regions (2nd Edition)" (2021).

Best Publications

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

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

  • 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

  • Predicting species spatial distributions using presence-only data: a case study of native New Zealand ferns

    A.Elizabeth Zaniewski;Anthony Lehmann;Jacob McC Overton

  • Using Niche-Based Models to Improve the Sampling of Rare Species

    Antoine Guisan;Olivier Broennimann;Robin Engler;Mathias Vust

  • GRASP: generalized regression analysis and spatial prediction

    Anthony Lehmann;Jacob McC Overton;John R Leathwick

  • Making better biogeographical predictions of species’ distributions

    Antoine Guisan;Anthony Lehmann;Simon Ferrier;Mike Austin

  • Habitat matrix effects on pond occupancy in newts.

    Pierre Joly;Claude Miaud;Anthony Lehmann;Odile Grolet

  • Modeling spatial distribution of amphibian populations: a GIS approach based on habitat matrix permeability

    Nicolas Ray;Anthony Lehmann;Pierre Joly

  • Improving generalized regression analysis for the spatial prediction of forest communities

    R. Maggini;A. Lehmann;N. E. Zimmermann;A. Guisan

  • Macrobenthic invertebrate richness and composition along a latitudinal gradient of European glacier‐fed streams

    Emmanuel Castella;Hákon Adalsteinsson;John E. Brittain;Gisli M. Gislason

  • Are Swiss birds tracking climate change? Detecting elevational shifts using response curve shapes

    Ramona Maggini;Ramona Maggini;Anthony Lehmann;Marc Kéry;Hans Schmid

  • A parallelization framework for calibration of hydrological models

    E. Rouholahnejad;K. C. Abbaspour;M. Vejdani;R. Srinivasan

  • Streamflow Modeling in a Highly Managed Mountainous Glacier Watershed Using SWAT: The Upper Rhone River Watershed Case in Switzerland

    Kazi Rahman;Chetan Maringanti;Martin Beniston;Florian Widmer

  • Regression models for spatial prediction: their role for biodiversity and conservation

    A. Lehmann;J.McC. Overton;M.P. Austin

  • PLOCH: a standardized method for sampling and assessing the biodiversity in ponds

    Beat Oertli;Dominique Auderset Joye;Emmanuel Castella;Raphaëlle Juge

  • Multi-scale effect of landscape processes and habitat quality on newt abundance: Implications for conservation

    Mathieu Denoël;Anthony Lehmann

  • GIS modeling of submerged macrophyte distribution using Generalized Additive Models

    Anthony Lehmann

  • Assessing New Zealand fern diversity from spatial predictions of species assemblages

    Anthony Lehmann;J.R. Leathwick;J.McC. Overton

  • Knowledge generation using satellite Earth Observations to support Sustainable Development Goals (SDG): a use case on Land Degradation

    Gregory Giuliani;Paolo Mazzetti;Mattia Santoro;Stefano Nativi

  • Hydrological impacts of climate and land‐use changes in a mountain watershed: uncertainty estimation based on model comparison

    Enrique Morán-Tejeda;Enrique Morán-Tejeda;Javier Zabalza;Kazi Rahman;Ana Gago-Silva

Frequent Co-Authors

Karim C. Abbaspour
Karim C. Abbaspour Swiss Federal Institute of Aquatic Science and Technology
Martin Beniston
Martin Beniston University of Geneva
Niklaus E. Zimmermann
Niklaus E. Zimmermann Swiss Federal Institute for Forest, Snow and Landscape Research
John R. Leathwick
John R. Leathwick Department of Conservation
Hong Yang
Hong Yang Swiss Federal Institute of Aquatic Science and Technology
Antoine Guisan
Antoine Guisan University of Lausanne
Enrique Morán-Tejeda
Enrique Morán-Tejeda University of the Balearic Islands
Lukas Jenni
Lukas Jenni Swiss Ornithological Institute
Boris Schröder
Boris Schröder Technische Universität Braunschweig

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