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Alexander Brenning publication distribution in Earth Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Earth Science in 2026. The highlighted bar marks where Alexander Brenning sits on this spectrum.

38–42 publications: 1 scientists 43–47 publications: 0 scientists 48–52 publications: 3 scientists 53–57 publications: 8 scientists 58–62 publications: 11 scientists 63–67 publications: 16 scientists 68–72 publications: 24 scientists 73–77 publications: 31 scientists 78–82 publications: 49 scientists 83–87 publications: 77 scientists 88–92 publications: 86 scientists 93–97 publications: 88 scientists 98–102 publications: 92 scientists 103–107 publications: 84 scientists 108–112 publications: 102 scientists 113–117 publications: 108 scientists 118–122 publications: 117 scientists 123–127 publications: 126 scientists 128–132 publications: 146 scientists 133–137 publications: 114 scientists 138–142 publications: 102 scientists 143–147 publications: 127 scientists 148–152 publications: 102 scientists 153–157 publications: 112 scientists 158–162 publications: 102 scientists 163–167 publications: 127 scientists 168–172 publications: 121 scientists 173–177 publications: 112 scientists 178–182 publications: 109 scientists 183–187 publications: 98 scientists 188–192 publications: 92 scientists 193–197 publications: 105 scientists 198–202 publications: 77 scientists 203–207 publications: 80 scientists 208–212 publications: 89 scientists 213–217 publications: 70 scientists 218–222 publications: 74 scientists 223–227 publications: 74 scientists 228–232 publications: 70 scientists 233–237 publications: 67 scientists 238–242 publications: 59 scientists 243–247 publications: 67 scientists 248–252 publications: 51 scientists 253–257 publications: 46 scientists 258–262 publications: 41 scientists 263–267 publications: 39 scientists 268–272 publications: 34 scientists 273–277 publications: 39 scientists 278–282 publications: 35 scientists 283–287 publications: 36 scientists 288–292 publications: 35 scientists 293–297 publications: 29 scientists 298–302 publications: 23 scientists 303–307 publications: 39 scientists 308–312 publications: 34 scientists 313–317 publications: 23 scientists 318–322 publications: 18 scientists 323–327 publications: 18 scientists 328–332 publications: 21 scientists 333–337 publications: 20 scientists 338–342 publications: 15 scientists 343–347 publications: 13 scientists 348–352 publications: 24 scientists 353–357 publications: 25 scientists 358–362 publications: 10 scientists 363–367 publications: 20 scientists 368–372 publications: 17 scientists 373–377 publications: 18 scientists 378–382 publications: 15 scientists 383–387 publications: 7 scientists 388–392 publications: 22 scientists 393–397 publications: 9 scientists 398–402 publications: 11 scientists 403–407 publications: 16 scientists 408–412 publications: 4 scientists 413–417 publications: 5 scientists 418–422 publications: 14 scientists 423–427 publications: 8 scientists 428–432 publications: 7 scientists 433–437 publications: 7 scientists 438–442 publications: 10 scientists 443–447 publications: 10 scientists 448–452 publications: 3 scientists 453–457 publications: 9 scientists 458–462 publications: 11 scientists 463–467 publications: 4 scientists 468–472 publications: 6 scientists 473–477 publications: 11 scientists 478–482 publications: 8 scientists 483–487 publications: 2 scientists 488–492 publications: 3 scientists 493–497 publications: 4 scientists 498–502 publications: 4 scientists 503–507 publications: 4 scientists 508–509 publications: 4 scientists 510+ publications: 100 scientists
38 publications 510+

The last bar groups every scientist with 510 publications or more.

Alexander Brenning D-index placement in Earth Science in 2026

The chart shows the D-index (discipline H-index) distribution of Earth Science scientists ranked by Research.com in 2026. The highlighted bar marks where Alexander Brenning sits on this spectrum.

30 D-Index: 15 scientists 31 D-Index: 42 scientists 32 D-Index: 60 scientists 33 D-Index: 90 scientists 34 D-Index: 103 scientists 35 D-Index: 108 scientists 36 D-Index: 142 scientists 37 D-Index: 147 scientists 38 D-Index: 147 scientists 39 D-Index: 152 scientists 40 D-Index: 143 scientists 41 D-Index: 157 scientists 42 D-Index: 141 scientists 43 D-Index: 151 scientists 44 D-Index: 140 scientists 45 D-Index: 135 scientists 46 D-Index: 121 scientists 47 D-Index: 108 scientists 48 D-Index: 128 scientists 49 D-Index: 111 scientists 50 D-Index: 106 scientists 51 D-Index: 112 scientists 52 D-Index: 102 scientists 53 D-Index: 103 scientists 54 D-Index: 94 scientists 55 D-Index: 61 scientists 56 D-Index: 101 scientists 57 D-Index: 71 scientists 58 D-Index: 65 scientists 59 D-Index: 78 scientists 60 D-Index: 93 scientists 61 D-Index: 56 scientists 62 D-Index: 58 scientists 63 D-Index: 52 scientists 64 D-Index: 63 scientists 65 D-Index: 49 scientists 66 D-Index: 53 scientists 67 D-Index: 57 scientists 68 D-Index: 50 scientists 69 D-Index: 44 scientists 70 D-Index: 44 scientists 71 D-Index: 31 scientists 72 D-Index: 33 scientists 73 D-Index: 33 scientists 74 D-Index: 23 scientists 75 D-Index: 32 scientists 76 D-Index: 24 scientists 77 D-Index: 17 scientists 78 D-Index: 19 scientists 79 D-Index: 9 scientists 80 D-Index: 21 scientists 81 D-Index: 20 scientists 82 D-Index: 17 scientists 83 D-Index: 19 scientists 84 D-Index: 19 scientists 85 D-Index: 14 scientists 86 D-Index: 6 scientists 87 D-Index: 14 scientists 88 D-Index: 17 scientists 89 D-Index: 10 scientists 90 D-Index: 8 scientists 91 D-Index: 8 scientists 92 D-Index: 9 scientists 93 D-Index: 6 scientists 94+ D-Index: 98 scientists
30 D-Index 94+

The last bar groups every scientist with 94 D-Index or more.

Overview

Alexander Brenning is a researcher affiliated with Friedrich Schiller University Jena in Germany. Their work primarily falls within the domain of Environmental Science, with a significant focus on several subfields including Global and Planetary Change, Environmental Engineering, Management, Monitoring, Policy and Law, Atmospheric Science, and Ecology.

Their research interests are aligned with various specialized topics such as Landslides and related hazards, Soil Geostatistics and Mapping, Remote Sensing in Agriculture, Cryospheric studies and observations, Flood Risk Assessment and Management, Remote Sensing and LiDAR Applications, and Plant Water Relations and Carbon Dynamics.

Alexander Brenning has contributed to multiple scientific publications in notable venues. Frequent publication outlets for their work include:

  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Biogeosciences
  • Remote Sensing

Their recent papers demonstrate a range of topics and collaborative authorship. Selected recent works include:

  • "Where Are Global Vegetation Greening and Browning Trends Significant?" (2021), Geophysical Research Letters
  • "How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences" (2024), Earth s Future
  • "The performance of landslide susceptibility models critically depends on the quality of digital elevation models" (2020), Geomatics Natural Hazards and Risk
  • "Vegetation modulates the impact of climate extremes on gross primary production" (2021), Biogeosciences
  • "Towards a global understanding of vegetation-climate dynamics at multiple timescales" (2020), Biogeosciences

Brenning has collaborated extensively with several frequent coauthors, including:

  • Markus Reichstein
  • Patrick Schratz
  • Helene Petschko
  • Raphael Knevels
  • Herwig Proske

This collaboration reflects an active presence in interdisciplinary environmental research networks. Their work covers a wide array of scientific challenges related to remote sensing, hazard assessment, vegetation-climate dynamics, and geostatistical modeling.

Best Publications

  • Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling

    J. N. Goetz;J. N. Goetz;J. N. Goetz;Alexander Brenning;Alexander Brenning;Helene Petschko;Philip Leopold

  • Spatial prediction models for landslide hazards: review, comparison and evaluation

    A. Brenning

  • Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial data

    Patrick Schratz;Jannes Muenchow;Eugenia Iturritxa;Jakob Richter

  • A geographic approach for combining social media and authoritative data towards identifying useful information for disaster management

    João Porto de Albuquerque;Benjamin Herfort;Alexander Brenning;Alexander Zipf

  • Permafrost distribution in the European Alps: calculation and evaluation of an index map and summary statistics

    Lorenz Boeckli;A Brenning;Stephan Gruber;Jeannette Noetzli

  • Integrating physical and empirical landslide susceptibility models using generalized additive models

    Jason N. Goetz;Richard H. Guthrie;Alexander Brenning

  • Hydrological and geomorphological significance of rock glaciers in the dry Andes, Chile (27°-33°S).

    Gerardo Azócar;Gerardo Azócar;A. Brenning

  • Spatial cross-validation and bootstrap for the assessment of prediction rules in remote sensing: The R package sperrorest

    Alexander Brenning

  • Assessing the quality of landslide susceptibility maps – case study Lower Austria

    H. Petschko;A. Brenning;R. Bell;J. Goetz;J. Goetz

  • A statistical approach to modelling permafrost distribution in the European Alps or similar mountain ranges

    L. Boeckli;A. Brenning;S. Gruber;J. Noetzli

  • Geomorphological, hydrological and climatic significance of rock glaciers in the Andes of Central Chile (33–35°S)

    Alexander Brenning

  • Benchmarking classifiers to optimally integrate terrain analysis and multispectral remote sensing in automatic rock glacier detection

    Alexander Brenning

  • A comparative study of different classification techniques for marine oil spill identification using RADARSAT-1 imagery

    Linlin Xu;Jonathan Li;Jonathan Li;Alexander Brenning

  • Exploring discrepancies between quantitative validation results and the geomorphic plausibility of statistical landslide susceptibility maps

    Stefan Steger;Alexander Brenning;Rainer Bell;Helene Petschko

  • Assessing fruit-tree crop classification from Landsat-8 time series for the Maipo Valley, Chile

    M.A. Peña;A. Brenning

  • Predictive mapping of reef fish species richness, diversity and biomass in Zanzibar using IKONOS imagery and machine-learning techniques.

    Anders Knudby;Ellsworth LeDrew;Alexander Brenning

  • Where Are Global Vegetation Greening and Browning Trends Significant

    José Cortés;José Cortés;Miguel D. Mahecha;Miguel D. Mahecha;Miguel D. Mahecha;Markus Reichstein;Ranga B. Myneni

  • Logistic regression modeling of rock glacier and glacier distribution: Topographic and climatic controls in the semi-arid Andes

    Alexander Brenning;Dario Trombotto

  • Landslide susceptibility near highways is increased by 1 order of magnitude in the Andes of southern Ecuador, Loja province

    A. Brenning;A. Brenning;M. Schwinn;A. P. Ruiz-Páez;A. P. Ruiz-Páez;J. Muenchow

  • The influence of systematically incomplete shallow landslide inventories on statistical susceptibility models and suggestions for improvements

    S. Steger;A. Brenning;R. Bell;T. Glade

  • Status and evolution of the cryosphere in the Andes of Santiago (Chile, 33.5°S.)

    Xavier Bodin;Xavier Bodin;F. Rojas;F. Rojas;A. Brenning

Frequent Co-Authors

Miguel D. Mahecha
Miguel D. Mahecha Leipzig University
Markus Reichstein
Markus Reichstein Max Planck Institute for Biogeochemistry
Stephan Gruber
Stephan Gruber Carleton University
Thomas Glade
Thomas Glade University of Vienna
Yanjun Shen
Yanjun Shen Chinese Academy of Sciences
Joachim Denzler
Joachim Denzler Friedrich Schiller University Jena
Christoph Plutzar
Christoph Plutzar BOKU University
Michael Sommer
Michael Sommer University of Potsdam
Nuno Carvalhais
Nuno Carvalhais Max Planck Institute for Biogeochemistry
Simone Gingrich
Simone Gingrich BOKU University

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