D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 49 Citations 29,017 218 World Ranking 2089 National Ranking 7

Overview

What is he best known for?

The fields of study Achim Zeileis is best known for:

  • Statistics
  • Regression analysis
  • Linear regression

Borrowing concepts from Independence (probability theory), Achim Zeileis weaves in ideas under Statistics. His Artificial intelligence study frequently links to other fields, such as Class (philosophy). Many of his studies on Class (philosophy) apply to Artificial intelligence as well. He integrates Machine learning and Theoretical computer science in his research. Theoretical computer science and Machine learning are two areas of study in which Achim Zeileis engages in interdisciplinary work. Achim Zeileis integrates several fields in his works, including Algorithm and Computation. In his articles, Achim Zeileis combines various disciplines, including Computation and Algorithm. Borrowing concepts from Ordinary least squares, Achim Zeileis weaves in ideas under Econometrics. He performs multidisciplinary study in Ordinary least squares and Econometrics in his work.

His most cited work include:

  • Unbiased Recursive Partitioning: A Conditional Inference Framework (2787 citations)
  • Bias in random forest variable importance measures: Illustrations, sources and a solution (2224 citations)
  • Conditional variable importance for random forests (2045 citations)

What are the main themes of his work throughout his whole career to date

Achim Zeileis links adjacent fields of study such as Regression and Regression analysis in the subject of Statistics. He performs integrative study on Artificial intelligence and Inference in his works. Achim Zeileis connects Inference with Artificial intelligence in his study. He integrates Machine learning and Data mining in his studies. By researching both Data mining and Machine learning, Achim Zeileis produces research that crosses academic boundaries. He undertakes interdisciplinary study in the fields of Algorithm and Statistics through his works.

Achim Zeileis most often published in these fields:

  • Statistics (72.95%)
  • Econometrics (44.26%)
  • Artificial intelligence (38.52%)

What were the highlights of his more recent work (between 2018-2021)?

  • Statistics (84.62%)
  • Artificial intelligence (46.15%)
  • Meteorology (46.15%)

In recent works Achim Zeileis was focusing on the following fields of study:

Achim Zeileis is involved in relevant fields of research such as Gaussian and Calibration in the field of Quantum mechanics. His research links Quantum mechanics with Gaussian. His Statistics study frequently draws connections to other fields, such as Maximum likelihood. His Artificial intelligence study frequently draws connections to other fields, such as Object (grammar). Much of his study explores Object (grammar) relationship to Artificial intelligence. Achim Zeileis performs integrative study on Meteorology and Wind speed. He combines topics linked to Probabilistic forecasting with his work on Probabilistic logic. His research on Probabilistic forecasting frequently links to adjacent areas such as Probabilistic logic. He connects Econometrics with Ordinary least squares in his study.

Between 2018 and 2021, his most popular works were:

  • Various Versatile Variances: An Object-Oriented Implementation of Clustered Covariances in R (144 citations)
  • colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes (45 citations)
  • Remember the past: a comparison of time-adaptive training schemes for non-homogeneous regression (21 citations)

In his most recent research, the most cited works focused on:

  • Color space
  • RGB color model
  • Statistics

Much of his study explores Meteorology relationship to Ensemble forecasting and Training (meteorology). His Training (meteorology) study often links to related topics such as Meteorology. His study connects Probabilistic logic and Statistics. Probabilistic logic is closely attributed to Statistics in his study. His research is interdisciplinary, bridging the disciplines of Object (grammar) and Artificial intelligence. His work in Operating system is not limited to one particular discipline; it also encompasses Palette (painting). His research combines Operating system and Palette (painting). Achim Zeileis integrates many fields, such as Inference and Artificial intelligence, in his works. Achim Zeileis incorporates Ordinary least squares and Econometrics in his research.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Unbiased Recursive Partitioning: A Conditional Inference Framework

Torsten Hothorn;Kurt Hornik;Achim Zeileis.
Journal of Computational and Graphical Statistics (2006)

3619 Citations

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

Carolin Strobl;Anne-Laure Boulesteix;Achim Zeileis;Torsten Hothorn.
BMC Bioinformatics (2007)

2928 Citations

Conditional variable importance for random forests

Carolin Strobl;Anne Laure Boulesteix;Thomas Kneib;Thomas Augustin.
BMC Bioinformatics (2008)

2619 Citations

Regression Models for Count Data in R

Achim Zeileis;Christian Kleiber;Simon Jackman.
Journal of Statistical Software (2008)

2217 Citations

kernlab - An S4 Package for Kernel Methods in R

Alexandros Karatzoglou;Alexandros Smola;Kurt Hornik;Achim Zeileis.
Journal of Statistical Software (2004)

1894 Citations

Beta Regression in R

Francisco Cribari-Neto;Achim Zeileis.
Journal of Statistical Software (2010)

1732 Citations

Diagnostic Checking in Regression Relationships

Achim Zeileis;Torsten Hothorn.
(2015)

1293 Citations

Implementing a class of permutation pests: the coin package

Torsten Hothorn;Kurt Hornik;Mark A. van de Wiel;Achim Zeileis.
Journal of Statistical Software (2008)

1211 Citations

Econometric Computing with HC and HAC Covariance Matrix Estimators

Achim Zeileis.
Journal of Statistical Software (2004)

986 Citations

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

Achim Zeileis;Friedrich Leisch;Kurt Hornik;Christian Kleiber.
Journal of Statistical Software (2002)

920 Citations

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