Clayton V Deutsch

Clayton V Deutsch

University of Alberta

H-index: 54

North America-Canada

About Clayton V Deutsch

Clayton V Deutsch, With an exceptional h-index of 54 and a recent h-index of 30 (since 2020), a distinguished researcher at University of Alberta, specializes in the field of Geostatistics.

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

Laudatio for Prof. João Felipe Coimbra Leite Costa, recipient of the John Cedric Griffiths teaching Award

Kriging with Constraints

The Place of Geostatistical Simulation through the Life Cycle of a Mineral Deposit

Probabilistic Modeling of the Round Mountain Gold Deposit: a Case Study

Merging machine learning and geostatistical approaches for spatial modeling of geoenergy resources

Spatial multivariate data imputation using deep learning and lambda distribution

Managing Risk in Well Placement Optimization within an Expected Utility Framework

Kriging Data with Measurement Error: A Review and a Generalized Approach

Clayton V Deutsch Information

University

Position

___

Citations(all)

23809

Citations(since 2020)

6221

Cited By

19932

hIndex(all)

54

hIndex(since 2020)

30

i10Index(all)

190

i10Index(since 2020)

92

Email

University Profile Page

Google Scholar

Clayton V Deutsch Skills & Research Interests

Geostatistics

Top articles of Clayton V Deutsch

Laudatio for Prof. João Felipe Coimbra Leite Costa, recipient of the John Cedric Griffiths teaching Award

Computers and Geosciences

2024/4

Amilcar Soares
Amilcar Soares

H-Index: 10

Clayton V Deutsch
Clayton V Deutsch

H-Index: 31

Kriging with Constraints

Geostafisfics Lessons

2024

Clayton V Deutsch
Clayton V Deutsch

H-Index: 31

The Place of Geostatistical Simulation through the Life Cycle of a Mineral Deposit

Minerals

2023/10/31

Clayton V Deutsch
Clayton V Deutsch

H-Index: 31

Probabilistic Modeling of the Round Mountain Gold Deposit: a Case Study

Mining, Metallurgy & Exploration

2023/10

Clayton V Deutsch
Clayton V Deutsch

H-Index: 31

Merging machine learning and geostatistical approaches for spatial modeling of geoenergy resources

International Journal of Coal Geology

2023/8/1

Spatial multivariate data imputation using deep learning and lambda distribution

Computers & Geosciences

2023/8/1

Clayton V Deutsch
Clayton V Deutsch

H-Index: 31

Managing Risk in Well Placement Optimization within an Expected Utility Framework

SPE Reservoir Evaluation & Engineering

2023/5/10

Di Yang
Di Yang

H-Index: 13

Clayton V Deutsch
Clayton V Deutsch

H-Index: 31

Kriging Data with Measurement Error: A Review and a Generalized Approach

2023/2/20

Clayton V Deutsch
Clayton V Deutsch

H-Index: 31

Gaussian mixture models

Encyclopedia of biometrics

2009/7/2

Multivariate Gaussian Distribution

Auxiliary Notes for Time Series Analysis SF2943, KTH Royal Institute of Technology, Stockholm, Sweden

2013

The decision of stationarity

Geostatistics lessons. Retrieved August

2022

Clayton V Deutsch
Clayton V Deutsch

H-Index: 31

Sequential indicator simulation (SIS).

2022

Cokriging with Unequally Sampled Data

2022

Clayton V Deutsch
Clayton V Deutsch

H-Index: 31

Covariogram ranges for approximate global sensitivity analysis

Computational Geosciences

2022/12

Di Yang
Di Yang

H-Index: 13

Yupeng Li
Yupeng Li

H-Index: 11

Clayton V Deutsch
Clayton V Deutsch

H-Index: 31

Application of Volume Uncertainty for Resource Classification: A Case Study on the Rondon Do Pará Bauxite Deposit, Brazil

Mining

2022/10/6

Clayton V Deutsch
Clayton V Deutsch

H-Index: 31

Projection Pursuit Multivariate Sampling of Parameter Uncertainty

Applied Sciences

2022/9/26

Oktay Erten
Oktay Erten

H-Index: 7

Clayton V Deutsch
Clayton V Deutsch

H-Index: 31

Groundwater monitoring near oil sands development: Insights from regional water quality datasets in the Alberta Oil Sands Region (AOSR)

Journal of Hydrology: Regional Studies

2022/6/1

Yi Yi
Yi Yi

H-Index: 12

John J Gibson
John J Gibson

H-Index: 29

Clayton V Deutsch
Clayton V Deutsch

H-Index: 31

A hybrid estimation technique using elliptical radial basis neural networks and cokriging

Mathematical Geosciences

2022/4

Clayton V Deutsch
Clayton V Deutsch

H-Index: 31

Geostatistical Model Resolution Enhancement in the Context of Multiple-Point Statistics

arXiv preprint arXiv:2202.10569

2022/2/21

Clayton V Deutsch
Clayton V Deutsch

H-Index: 31

Combination of machine learning and kriging for spatial estimation of geological attributes

Natural Resources Research

2022/2

See List of Professors in Clayton V Deutsch University(University of Alberta)

Co-Authors

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