World's Best Scientists 2026 revealed!
Gitta Lasslop

Gitta Lasslop

D-Index & Metrics

Environmental Sciences

D-Index
39
Citations
15077
World Ranking
8213
National Ranking
508

Gitta Lasslop 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 Gitta Lasslop 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: 95 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

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

Gitta Lasslop 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 Gitta Lasslop 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: 39 D-Index — 15th percentile

15% of scientists in this discipline score the same or lower.

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

Overview

Gitta Lasslop is a researcher affiliated with the Max Planck Society in Germany, specializing in environmental science with a focus on global and planetary change. Their research work spans several subfields including global and planetary change, nature and landscape conservation, ecology, atmospheric science, and safety, risk, reliability, and quality.

Their scholarly contributions primarily address topics such as fire effects on ecosystems, atmospheric and environmental gas dynamics, ecology and vegetation dynamics studies, plant water relations and carbon dynamics, rangeland and wildlife management, climate variability and models, and tropical and extratropical cyclones research.

Among recent publications, key papers include:

  • "Global and Regional Trends and Drivers of Fire Under Climate Change" (2022) published in Reviews of Geophysics
  • "Quantitative assessment of fire and vegetation properties in simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project" (2020) published in Geoscientific Model Development
  • "Global ecosystems and fire: Multi-model assessment of fire-induced tree-cover and carbon storage reduction" (2020) published in Global Change Biology
  • "Scenario setup and forcing data for impact model evaluation and impact attribution within the third round of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP3a)" (2024) published in Geoscientific Model Development
  • "Land use intensification increasingly drives the spatiotemporal patterns of the global human appropriation of net primary production in the last century" (2021) published in Global Change Biology

Lasslop frequently collaborates with several researchers, including Matthew Forrest, Thomas Hickler, Chantelle Burton, Stephen Sitch, and Stijn Hantson. Their work has been published in various scientific venues, notably Zenodo (CERN European Organization for Nuclear Research), Geoscientific Model Development, Global Change Biology, Reviews of Geophysics, and Nature Climate Change.

Their body of work reflects a consistent engagement with fire dynamics within ecosystems, modeling of vegetation and fire interactions, and the broader environmental impacts of land use changes and climate variability. This multidisciplinary approach integrates ecological, atmospheric, and environmental factors to analyze ecosystem processes and changes.

Best Publications

  • Terrestrial Gross Carbon Dioxide Uptake: Global Distribution and Covariation with Climate

    Christian Beer;Markus Reichstein;Enrico Tomelleri;Philippe Ciais

  • Global patterns of land-atmosphere fluxes of carbon dioxide, latent heat, and sensible heat derived from eddy covariance, satellite, and meteorological observations

    Martin Jung;Markus Reichstein;Hank A. Margolis;Alessandro Cescatti

  • Developments in the MPI-M Earth System Model version 1.2 (MPI-ESM1.2) and Its Response to Increasing CO2.

    Thorsten Mauritsen;Thorsten Mauritsen;Jürgen Bader;Tobias Becker;Jörg Behrens

  • Separation of net ecosystem exchange into assimilation and respiration using a light response curve approach: critical issues and global evaluation

    Gitta Lasslop;Markus Reichstein;Dario Papale;Andrew D. Richardson

  • A human-driven decline in global burned area

    N. Andela;N. Andela;D. C. Morton;L. Giglio;Y Chen

  • Global and Regional Trends and Drivers of Fire Under Climate Change

    Unknown

  • Historic global biomass burning emissions for CMIP6 (BB4CMIP) based on merging satellite observations with proxies and fire models (1750-2015)

    Margreet J.E. Van Marle;Silvia Kloster;Brian I. Magi;Jennifer R. Marlon

  • Global Convergence in the Temperature Sensitivity of Respiration at Ecosystem Level

    Miguel D. Mahecha;Markus Reichstein;Nuno Carvalhais;Gitta Lasslop

  • The status and challenge of global fire modelling

    Stijn Hantson;Almut Arneth;Sandy P. Harrison;Sandy P. Harrison;Douglas I. Kelley;Douglas I. Kelley

  • Reconciling leaf physiological traits and canopy flux data: Use of the TRY and FLUXNET databases in the Community Land Model version 4

    Gordon B. Bonan;Keith W. Oleson;Rosie A. Fisher;Gitta Lasslop

  • The Fire Modeling Intercomparison Project (FireMIP), phase 1: Experimental and analytical protocols with detailed model descriptions

    Sam S. Rabin;Sam S. Rabin;Joe R. Melton;Gitta Lasslop;Dominique Bachelet

  • Semiempirical modeling of abiotic and biotic factors controlling ecosystem respiration across eddy covariance sites

    Mirco Migliavacca;Mirco Migliavacca;Markus Reichstein;Andrew D. Richardson;Roberto Colombo

  • Influences of observation errors in eddy flux data on inverse model parameter estimation

    Gitta Lasslop;M. Reichstein;J. Kattge;D. Papale

  • Emergent relationships with respect to burned area in global satellite observations and fire-enabled vegetation models

    Matthias Forkel;Niels Andela;Sandy P. Harrison;Gitta Lasslop

  • Quantitative assessment of fire and vegetation properties in simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project

    Stijn Hantson;Stijn Hantson;Douglas I. Kelley;Almut Arneth;Sandy P. Harrison

  • Influence of Fire on the Carbon Cycle and Climate

    Gitta Lasslop;Alysha I. Coppola;Apostolos Voulgarakis;Chao Yue

  • Historical (1700–2012) global multi-model estimates of the fire emissions from the Fire Modeling Intercomparison Project (FireMIP)

    Fang Li;Maria Val Martin;Meinrat O. Andreae;Meinrat O. Andreae;Almut Arneth

  • Global ecosystems and fire: Multi-model assessment of fire-induced tree-cover and carbon storage reduction.

    Gitta Lasslop;Stijn Hantson;Sandy P. Harrison;Dominique Bachelet

  • SPITFIRE within the MPI Earth system model: Model development and evaluation

    Gitta Lasslop;Kirsten Thonicke;Silvia Kloster

  • CMIP6.CMIP.MPI-M.MPI-ESM1-2-HR.historical

    Johann Jungclaus;Matthias Bittner;Karl-Hermann Wieners;Fabian Wachsmann

  • Recent global and regional trends in burned area and their compensating environmental controls

    Matthias Forkel;Wouter Dorigo;Gitta Lasslop;Emilio Chuvieco

  • Effect of spatial sampling from European flux towers for estimating carbon and water fluxes with artificial neural networks

    Dario Papale;T. Andrew Black;Nuno Carvalhais;Alessandro Cescatti

Frequent Co-Authors

Silvia Kloster
Silvia Kloster Max Planck Society
Almut Arneth
Almut Arneth Karlsruhe Institute of Technology
Sandy P. Harrison
Sandy P. Harrison University of Reading
Markus Reichstein
Markus Reichstein Max Planck Institute for Biogeochemistry
Victor Brovkin
Victor Brovkin Max Planck Society
Christian Reick
Christian Reick Max Planck Society
Thorsten Mauritsen
Thorsten Mauritsen Stockholm University
Julia Pongratz
Julia Pongratz Ludwig-Maximilians-Universität München
Erich Roeckner
Erich Roeckner Max Planck Society
Jochem Marotzke
Jochem Marotzke Max Planck Society

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Additionally, specializing through degrees such as an online dsw programs can complement environmental science expertise by focusing on social work and community resilience, crucial for addressing environmental justice and policy implementation.

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