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Engineering and Technology
Austria
2026

D-Index & Metrics

Engineering and Technology

D-Index
64
Citations
46070
World Ranking
1590
National Ranking
6

Achim Zeileis publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Achim Zeileis sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 293 publications — 75th percentile

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

The last bar groups every scientist with 804 publications or more.

Achim Zeileis D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Achim Zeileis sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 64 D-Index — 84th percentile

84% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in Austria Leader Award
  • 2025 - Research.com Engineering and Technology in Austria Leader Award

Overview

Achim Zeileis is affiliated with the University of Innsbruck in Austria. Their research spans multiple fields, with a particular focus on environmental science and statistical methods.

The main fields of study covered by Achim Zeileis include:

  • Environmental Science

Within these fields, they have contributed to several subfields:

  • Global and Planetary Change
  • Statistics and Probability
  • Astronomy and Astrophysics
  • Atmospheric Science
  • Artificial Intelligence

The topics addressed by their work involve areas such as:

  • Fire effects on ecosystems
  • Lightning and Electromagnetic Phenomena
  • Statistical Methods and Inference
  • Meteorological Phenomena and Simulations
  • Statistical Methods and Bayesian Inference
  • Wind and Air Flow Studies
  • Climate variability and models

Achim Zeileis has collaborated frequently with several coauthors, including:

  • Georg J. Mayr
  • Thorsten Simon
  • Isabell Stucke
  • Deborah Morgenstern
  • Gerhard Diendorfer

They have published in various venues, notably:

  • arXiv (Cornell University)
  • Journal of Statistical Software
  • Weather and Climate Dynamics
  • Journal of the Royal Statistical Society Series C (Applied Statistics)
  • Nonlinear processes in geophysics

Selected recent publications by Achim Zeileis include:

  • Various Versatile Variances: An Object-Oriented Implementation of Clustered Covariances in R, 2020, Journal of Statistical Software
  • colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes, 2020, Journal of Statistical Software

Other recent related works contributing to their research context include:

  • Remember the past: a comparison of time-adaptive training schemes for non-homogeneous regression, 2020, Nonlinear processes in geophysics
  • Network Trees: A Method for Recursively Partitioning Covariance Structures, 2020, Psychometrika
  • Predictive Distribution Modeling Using Transformation Forests, 2021, Journal of Computational and Graphical Statistics

Best Publications

  • Unbiased Recursive Partitioning: A Conditional Inference Framework

    Torsten Hothorn;Kurt Hornik;Achim Zeileis

  • Bias in random forest variable importance measures: Illustrations, sources and a solution

    Carolin Strobl;Anne-Laure Boulesteix;Achim Zeileis;Torsten Hothorn

  • Conditional variable importance for random forests

    Carolin Strobl;Anne Laure Boulesteix;Thomas Kneib;Thomas Augustin

  • Regression Models for Count Data in R

    Achim Zeileis;Christian Kleiber;Simon Jackman

  • Beta Regression in R

    Francisco Cribari-Neto;Achim Zeileis

  • kernlab - An S4 Package for Kernel Methods in R

    Alexandros Karatzoglou;Alexandros Smola;Kurt Hornik;Achim Zeileis

  • strucchange. An R package for testing for structural change in linear regression models.

    Achim Zeileis;Friedrich Leisch;Kurt Hornik;Christian Kleiber

  • Implementing a class of permutation pests: the coin package

    Torsten Hothorn;Kurt Hornik;Mark A. van de Wiel;Achim Zeileis

  • zoo: S3 Infrastructure for Regular and Irregular Time Series

    Achim Zeileis;Gabor Grothendieck

  • Econometric Computing with HC and HAC Covariance Matrix Estimators

    Achim Zeileis

  • Testing and dating of structural changes in practice

    Achim Zeileis;Christian Kleiber;Walter Krämer;Kurt Hornik

  • A Lego System for Conditional Inference

    Torsten Hothorn;Kurt Hornik;Mark A van de Wiel;Achim Zeileis

  • Model-Based Recursive Partitioning

    Achim Zeileis;Torsten Hothorn;Kurt Hornik

  • Partykit: a modular toolkit for recursive partytioning in R

    Torsten Hothorn;Achim Zeileis

  • Phenological change detection while accounting for abrupt and gradual trends in satellite image time series

    Jan Verbesselt;Robin Hyndman;Achim Zeileis;Darius Culvenor

  • Object-oriented Computation of Sandwich Estimators

    Achim Zeileis

  • Near real-time disturbance detection using satellite image time series

    Jan Verbesselt;Achim Zeileis;Martin Herold

  • Various Versatile Variances: An Object-Oriented Implementation of Clustered Covariances in R

    Achim Zeileis;Susanne Köll;Nathaniel Graham

  • Open-source machine learning: R meets Weka

    Kurt Hornik;Christian Buchta;Achim Zeileis

  • The Strucplot Framework: Visualizing Multi-way Contingency Tables with vcd

    David Meyer;Achim Zeileis;Kurt Hornik

Frequent Co-Authors

Kurt Hornik
Kurt Hornik Vienna University of Economics and Business
Friedrich Leisch
Friedrich Leisch BOKU University
Jan Verbesselt
Jan Verbesselt Wageningen University & Research
Thomas Kneib
Thomas Kneib University of Göttingen
Stefan Lang
Stefan Lang University of Innsbruck
Martin Herold
Martin Herold Wageningen University & Research
Roger Koenker
Roger Koenker University College London
Claus O. Wilke
Claus O. Wilke The University of Texas at Austin
Ting Wang
Ting Wang Washington University in St. Louis
Anne-Laure Boulesteix
Anne-Laure Boulesteix Ludwig-Maximilians-Universität München

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