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Vera Pawlowsky-Glahn

Vera Pawlowsky-Glahn

D-Index & Metrics

Mathematics

D-Index
34
Citations
7721
World Ranking
2854
National Ranking
61

Overview

Vera Pawlowsky-Glahn is affiliated with the University of Girona in Spain. Their research spans multiple fields, primarily focusing on Computer Science, Environmental Science, and Engineering. Within these domains, their work is concentrated in subfields such as Artificial Intelligence, Geophysics, Environmental Engineering, Mechanics of Materials, and Pollution.

The scientist's main topics of study include:

  • Geochemistry and Geologic Mapping
  • Geological and Geochemical Analysis
  • Soil Geostatistics and Mapping
  • Hydrocarbon Exploration and Reservoir Analysis
  • Heavy Metals in Environment
  • Radioactivity and Radon Measurements
  • Mineral Processing and Grinding

Vera Pawlowsky-Glahn has published extensively in notable scientific venues. Frequent publication outlets include:

  • Journal of Geochemical Exploration
  • Mathematical Geosciences
  • The Science of The Total Environment
  • NAR Genomics and Bioinformatics
  • Frontiers in Microbiology

Several recent papers exemplify the research breadth and depth of this scientist. These include:

  • A compositional approach to the reconstruction of geochemical processes involved in the evolution of Holocene marine flooded coastal karst basins (Mljet Island, Croatia), 2020, Applied Geochemistry
  • Compositional baseline assessments to address soil pollution: An application in Langreo, Spain, 2021, The Science of The Total Environment
  • Chronic kidney disease of unknown origin is associated with environmental urbanisation in Belfast, UK, 2020, Environmental Geochemistry and Health
  • Compositional Data in Geostatistics: A Log-Ratio Based Framework to Analyze Regionalized Compositions, 2020, Mathematical Geosciences
  • Some thoughts on counts in sequencing studies, 2020, NAR Genomics and Bioinformatics

Vera Pawlowsky-Glahn collaborates frequently with several co-authors, contributing to multidisciplinary research efforts. Prominent co-authors include:

  • Juan José Egozcue
  • Behnam Sadeghi
  • Antonella Buccianti
  • Ivan Razum
  • Slobodan Miko

Best Publications

  • Isometric Logratio Transformations for Compositional Data Analysis

    J. J. Egozcue;V. Pawlowsky-Glahn;G. Mateu-Figueras;C. Barceló-Vidal

  • Compositional data analysis : theory and applications

    Vera Pawlowsky-Glahn;Antonella Buccianti

  • Groups of Parts and Their Balances in Compositional Data Analysis

    J. J. Egozcue;V. Pawlowsky-Glahn

  • Modeling and Analysis of Compositional Data

    Vera Pawlowsky-Glahn;Juan J. Egozcue;Raimon Tolosana-Delgado

  • Logratio Analysis and Compositional Distance

    J. Aitchison;C. Barceló-Vidal;J. A. Martín-Fernández;V. Pawlowsky-Glahn

  • Dealing with Zeros and Missing Values in Compositional Data Sets Using Nonparametric Imputation

    J. A. Martín-Fernández;C. Barceló-Vidal;V. Pawlowsky-Glahn

  • Geometric approach to statistical analysis on the simplex

    V. Pawlowsky-Glahn;J. J. Egozcue

  • Modelling and Analysis of Compositional Data: Pawlowsky-Glahn/Modelling and Analysis of Compositional Data

    Vera Pawlowsky-Glahn;Juan José Egozcue;Raimon Tolosana-Delgado

  • Proportionality : a valid alternative to correlation for relative data

    David Lovell;Vera Pawlowsky-Glahn;Juan José Egozcue;Samuel Marguerat

  • Simplicial geometry for compositional data

    J. J. Egozcue;V. Pawlowsky-Glahn

  • Geostatistical Analysis of Compositional Data

    Vera Pawlowsky-Glahn;Richardo A. Olea

  • Compositional Data Analysis in the Geosciences: From Theory to Practice

    Antonella Buccianti;G. Mateu-Figueras;Vera Pawlowsky-Glahn

  • Modelling Compositional Change: The Example of Chemical Weathering of Granitoid Rocks

    Hilmar von Eynatten;Carles Barceló-Vidal;Vera Pawlowsky-Glahn

  • BLU estimators and compositional data

    Vera Pawlowsky-Glahn;Juan José Egozcue

  • New Perspectives on Water Chemistry and Compositional Data Analysis

    A. Buccianti;V. Pawlowsky-Glahn

  • The Principle of Working on Coordinates

    Glòria Mateu‐Figueras;Vera Pawlowsky‐Glahn;Juan José Egozcue

  • Composition and Discrimination of Sandstones: A Statistical Evaluation of Different Analytical Methods

    Hilmar von Eynatten;Carles Barceló-Vidal;Vera Pawlowsky-Glahn

  • Exploring Compositional Data with the CoDa-Dendrogram

    Vera Pawlowsky-Glahn;Juan Jose Egozcue

  • Bayes hilbert spaces

    Karl Gerald van den Boogaart;Juan José Egozcue;Vera Pawlowsky-Glahn

  • Relative vs. absolute statistical analysis of compositions: a comparative study of surface waters of a Mediterranean river.

    N. Otero;R. Tolosana-Delgado;A. Soler;V. Pawlowsky-Glahn

  • Understanding perturbation on the simplex: A simple method to better visualize and interpret compositional data in ternary diagrams

    Hilmar von Eynatten;Vera Pawlowsky-Glahn;Juan José Egozcue

  • Zero Replacement in Compositional Data Sets

    J. A. Martín-Fernández;C. Barceló-Vidal;V. Pawlowsky-Glahn

  • Compositional data: the sample space and its structure

    Juan José Egozcue;Vera Pawlowsky-Glahn

  • Lecture Notes on Compositional Data Analysis

    Vera Pawlowsky-Glahn;Juan José Egozcue;Raimon Tolosana Delgado

  • on Compositional Data Analysis

    V. Pawlowsky-Glahn;J. J. Egozcue;R. Tolosana-Delgado

Frequent Co-Authors

Gregory B. Gloor
Gregory B. Gloor University of Western Ontario
Hilmar von Eynatten
Hilmar von Eynatten University of Göttingen
Jürg Bähler
Jürg Bähler University College London
Helmut Lammer
Helmut Lammer Austrian Academy of Sciences
Roger Paredes
Roger Paredes University of Vic - Central University of Catalonia
Albert Soler
Albert Soler University of Barcelona
Rainer Abart
Rainer Abart University of Vienna
Mário Cachão
Mário Cachão University of Lisbon

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