Eric Grunsky

Eric Grunsky

University of Waterloo

H-index: 33

North America-Canada

About Eric Grunsky

Eric Grunsky, With an exceptional h-index of 33 and a recent h-index of 23 (since 2020), a distinguished researcher at University of Waterloo, specializes in the field of geoscience, statistics, geostatistics, multivariate, geochemistry.

His recent articles reflect a diverse array of research interests and contributions to the field:

GeoCoDA: Recognizing and validating structural processes in geochemical data. A workflow on compositional data analysis in lithogeochemistry

A machine learning approach to predicting plant available phosphorus that accounts for soil heterogeneity and regional variability

And the 2024 Krumbein Medalist of the IAMG is…

2023 Andrei Borisovich Vistelius Research Award

Aitchison’s compositional data analysis 40 years on: A reappraisal

A systematic approach to predicting and mapping soil particle size distribution from unknown samples using large mid-infrared spectral libraries covering large-scale …

Geospatial modelling of soil phosphorus fractions and sorption indicators from heterogeneous landscapes in Ireland

Mineral prospectivity mapping using machine learning techniques for gold exploration in the Larder Lake area, Ontario, Canada

Eric Grunsky Information

University

Position

Adjunct Professor

Citations(all)

4269

Citations(since 2020)

2104

Cited By

3098

hIndex(all)

33

hIndex(since 2020)

23

i10Index(all)

79

i10Index(since 2020)

49

Email

University Profile Page

University of Waterloo

Google Scholar

View Google Scholar Profile

Eric Grunsky Skills & Research Interests

geoscience

statistics

geostatistics

multivariate

geochemistry

Top articles of Eric Grunsky

Title

Journal

Author(s)

Publication Date

GeoCoDA: Recognizing and validating structural processes in geochemical data. A workflow on compositional data analysis in lithogeochemistry

Applied Computing and Geosciences

Eric Grunsky

Michael Greenacre

Bruce Kjarsgaard

2024/1/2

A machine learning approach to predicting plant available phosphorus that accounts for soil heterogeneity and regional variability

Journal of Soils and Sediments

Rebecca L Hall

Felipe Bachion de Santana

Eric C Grunsky

Margaret A Browne

Victoria Lowe

...

2024/1

And the 2024 Krumbein Medalist of the IAMG is…

Mathematical Geosciences

Eric Grunsky

2024/4/9

2023 Andrei Borisovich Vistelius Research Award

Mathematical Geosciences

Eric Grunsky

Frits Agterberg

2023/8

Aitchison’s compositional data analysis 40 years on: A reappraisal

Statistical Science

Michael Greenacre

Eric Grunsky

John Bacon-Shone

Ionas Erb

Thomas Quinn

2023/8

A systematic approach to predicting and mapping soil particle size distribution from unknown samples using large mid-infrared spectral libraries covering large-scale …

Geoderma

Felipe B de Santana

Rebecca L Hall

Victoria Lowe

Margaret A Browne

Eric C Grunsky

...

2023/6/1

Geospatial modelling of soil phosphorus fractions and sorption indicators from heterogeneous landscapes in Ireland

Geoderma Regional

Rebecca L Hall

Felipe Bachion de Santana

Margaret A Browne

Vincent Gallagher

Eric C Grunsky

...

2023/12/1

Mineral prospectivity mapping using machine learning techniques for gold exploration in the Larder Lake area, Ontario, Canada

Journal of Geochemical Exploration

Haiming Liu

Jeff Harris

Ross Sherlock

Pouran Behnia

Eric Grunsky

...

2023/10/1

Estimating the silica content and loss-on-ignition in the North American Soil Geochemical Landscapes datasets: a recursive inversion approach

Geochemistry: Exploration, Environment, Analysis

Patrice de Caritat

Eric C Grunsky

David B Smith

2023/8/25

Innovative methods applied to processing and interpreting geochemical data

Mohammad Parsa

Martiya Sadeghi

Eric Grunsky

2022/6/1

Tellus regional stream water geochemistry: environmental and mineral exploration applications

Geochemistry: Exploration, Environment, Analysis

Vincent Gallagher

Eric C Grunsky

Mairéad M Fitzsimons

Margaret A Browne

Sophie Lilburn

...

2022/2

Compositional MAF and geostatistical analysis of geochemical data to reveal geochemical anomalies for natural resource estimation

Jennifer McKinley

Ute Mueller

Eric Grunsky

Ray Scanlon

Vincent Gallagher

...

2022

Diffuse reflectance mid infra-red spectroscopy combined with machine learning algorithms can differentiate spectral signatures in shallow and deeper soils for the prediction of …

Felipe Bachionde Santana

Eric C Grunsky

Mairéad M Fitzsimons

Vincent Gallagher

Karen Daly

2022/11/30

Analysis of geochemical patterns in a soil profile over mineralized bedrock

Geochemistry: Exploration, Environment, Analysis

Jie Yang

Zhaoxian Yuan

Eric Grunsky

Qiuming Cheng

Shubin Zhou

2022/8/31

Computational Geoscience

Eric Grunsky

2022/7/23

A comparison of isometric and amalgamation logratio balances in compositional data analysis

Computers & Geosciences

Michael Greenacre

Eric Grunsky

John Bacon-Shone

2021/3/1

Mineral-resource prediction using advanced data analytics and machine learning of the QUEST-South stream-sediment geochemical data, southwestern British Columbia, Canada

Geochemistry: Exploration, Environment, Analysis

EC Grunsky

D Arne

2021/2

Biplots for compositional data derived from generalized joint diagonalization methods

Applied Computing and Geosciences

Ute Mueller

R Tolosana Delgado

Eric C Grunsky

Jennifer M McKinley

2020/12/1

State-of-the-art analysis of geochemical data for mineral exploration

Geochemistry: Exploration, Environment, Analysis

EC Grunsky

P de Caritat

2020/5

See List of Professors in Eric Grunsky University(University of Waterloo)