Juan José Egozcue
Artificial Intelligence · 2001–2019
A researcher in the Science corpus: 17 papers; trusts 23 researchers and is trusted by 57 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 37 citations into it; #2,688 of 35,345 by trust here, #4,316 by citations
- Molecular Biology — 17 citations into it
- Nature and Landscape Conservation — 13 citations into it
- Mechanics of Materials — 12 citations into it; #246 of 6,291 by trust here, #615 by citations
- Ecology, Evolution, Behavior and Systematics — 11 citations into it
- Sociology and Political Science — 11 citations into it
- Environmental Engineering — 10 citations into it; #782 of 5,479 by trust here, #2,361 by citations
- Media Technology — 7 citations into it; #952 of 3,621 by trust here, #1,423 by citations
Whom Juan José Egozcue trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Vera Pawlowsky-Glahn
- J. Aitchison
- Josep-Antoni Martín-Fernández
- Dean Billheimer
- C. Barceló‐Vidal
- Michael J. Greenacre
- Peter Guttorp
- G. Mateu-Figueras
- K. Gerald van den Boogaart
- Karel Hron
Who trusts Juan José Egozcue overall
- Vera Pawlowsky-Glahn
- Josep-Antoni Martín-Fernández
- Karel Hron
- K. Gerald van den Boogaart
- Peter Filzmoser
- Michael J. Greenacre
- Eva Fiserová
- Matthias Templ
- C. Barceló‐Vidal
- Chao Zhang
Papers from Juan José Egozcue's perspective
Ordered by how strongly the researchers Juan José Egozcue trusts endorse each paper. Same corpus, a different order for every researcher.
- Biplots of Compositional Data
- 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
- Integrating diverse genomic data using gene sets (Genome Biology)
- Waste Not, Want Not: Why Rarefying Microbiome Data Is Inadmissible (PLoS Comput. Biol.)
- Density Estimation for Statistics and Data Analysis
- A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)
- UniFrac: an effective distance metric for microbial community comparison (The ISME Journal)
- Unifying the analysis of high-throughput sequencing datasets: characterizing RNA-seq, 16S rRNA gene sequencing and selective growth experiments by compositional data analysis (Microbiome)
Their papers
- Microbiome Datasets Are Compositional: And This Is Not Optional (2017) — 2,474 citations
- Reply to “On the Harker Variation Diagrams; …” by J.A. Cortés (2009) — 73 citations
- Compositional data: the sample space and its structure (2019) — 113 citations
- Tools for compositional data with a total (2015) — 71 citations
- Modelling and Analysis of Compositional Data: Pawlowsky-Glahn/Modelling and Analysis of Compositional Data (2015) — 272 citations
- Bayes Hilbert Spaces (2014) — 130 citations
- Exploring Compositional Data with the CoDa-Dendrogram (2011) — 109 citations
- Elements of Simplicial Linear Algebra and Geometry (2011) — 61 citations
- A nonparametric method for the measurement of size diversity with emphasis on data standardization (2008) — 83 citations
- on Compositional Data Analysis (2007) — 276 citations
- Simplicial geometry for compositional data (2006) — 190 citations
- Hilbert Space of Probability Density Functions Based on Aitchison Geometry (2006) — 151 citations
- Compositional Data Analysis: Where Are We and Where Should We Be Heading? (2005) — 378 citations
- Groups of Parts and Their Balances in Compositional Data Analysis (2005) — 641 citations
- Isometric Logratio Transformations for Compositional Data Analysis (2003) — 1,866 citations
- BLU Estimators and Compositional Data (2002) — 123 citations
- Geometric approach to statistical analysis on the simplex (2001) — 420 citations