Matthias Templ
Artificial Intelligence · 2010–2016
A researcher in the Science corpus: 4 papers; trusts 28 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 27 citations into it; #11,993 of 35,345 by trust here, #18,186 by citations
- Statistics and Probability — 21 citations into it; #6,086 of 12,932 by trust here, #6,853 by citations
- Mechanics of Materials — 10 citations into it
- Environmental Engineering — 8 citations into it; #1,491 of 5,479 by trust here, #2,775 by citations
- Molecular Biology — 5 citations into it
Whom Matthias Templ trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Peter Filzmoser
- Karel Hron
- Vera Pawlowsky-Glahn
- Juan José Egozcue
- John C. Gower
- Thomas Lumley
- Teresa A. Myers
- Peter J. Rousseeuw
- S. van Buuren
- Daniel J. Stekhoven
Who trusts Matthias Templ overall
- Josep-Antoni Martín-Fernández
- Karel Hron
- Pieter Vermeesch
- Joanna Morais
- Pierre-Alexandre Mattei
- Peter Filzmoser
- Alberto Resentini
- Christine Thomas-Agnan
- J. Palarea‐Albaladejo
- Jes Frellsen
Papers from Matthias Templ's perspective
Ordered by how strongly the researchers Matthias Templ trusts endorse each paper. Same corpus, a different order for every researcher.
- Inferring Correlation Networks from Genomic Survey Data (PLoS Comput. Biol.)
- Groups of Parts and Their Balances in Compositional Data Analysis
- Reply to “On the Harker Variation Diagrams; …” by J.A. Cortés
- Missing value estimation methods for DNA microarrays
- Categorical Data Analysis
- Imputation of missing values for compositional data using classical and robust methods (Computational Statistics & Data Analysis)
- Dealing with Zeros and Missing Values in Compositional Data Sets Using Nonparametric Imputation
- BLU Estimators and Compositional Data
- Isometric Logratio Transformations for Compositional Data Analysis
- Simplicial geometry for compositional data (Geological Society Special Publication)
Their papers
- robCompositions: An R‐package for Robust Statistical Analysis of Compositional Data (2011) — 368 citations
- Imputation with the R Package VIM (2016) — 634 citations
- Bayesian-multiplicative treatment of count zeros in compositional data sets (2015) — 227 citations
- Imputation of missing values for compositional data using classical and robust methods (2010) — 295 citations