Thomas Mejer Hansen

Thomas Mejer Hansen

Aarhus Universitet

H-index: 24

Europe-Denmark

About Thomas Mejer Hansen

Thomas Mejer Hansen, With an exceptional h-index of 24 and a recent h-index of 19 (since 2020), a distinguished researcher at Aarhus Universitet, specializes in the field of Inverse Problems, Geostatistics, Geophysics.

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

MPSlib Documentation

Probabilistic petrophysical reconstruction of Danta's Alpine peatland via electromagnetic induction data

Assessment of the impact of noise magnitude and bandwidth variations on a probabilistic inversion of reflection seismic data

A method to construct statistical prior models of geology for probabilistic inversion of geophysical data

Why probabilistic models are often true, but can be either useful or useless.

Probabilistic deconvolution of PET images using informed priors

High‐Resolution Geological Information from Crosshole Ground Penetrating Radar in Clayey Tills

Moving away from deterministic solutions: A probabilistic machine learning approach to account for geological model uncertainty in groundwater modelling

Thomas Mejer Hansen Information

University

Position

Department of Geoscience

Citations(all)

1904

Citations(since 2020)

1116

Cited By

1143

hIndex(all)

24

hIndex(since 2020)

19

i10Index(all)

45

i10Index(since 2020)

35

Email

University Profile Page

Aarhus Universitet

Google Scholar

View Google Scholar Profile

Thomas Mejer Hansen Skills & Research Interests

Inverse Problems

Geostatistics

Geophysics

Top articles of Thomas Mejer Hansen

Title

Journal

Author(s)

Publication Date

MPSlib Documentation

Thomas Mejer Hansen

2024/4/5

Probabilistic petrophysical reconstruction of Danta's Alpine peatland via electromagnetic induction data

Authorea Preprints

Giulio Vignoli

N Zaru

S Silvestri

M Assiri

P Bai

...

2024/2/28

Assessment of the impact of noise magnitude and bandwidth variations on a probabilistic inversion of reflection seismic data

Geophysical Prospecting

Hamed Heidari

Rasmus Bødker Madsen

Hamed Amini

Thomas Mejer Hansen

Mohammad Emami‐Niri

...

2023/2/17

A method to construct statistical prior models of geology for probabilistic inversion of geophysical data

Engineering Geology

Rasmus Bødker Madsen

Anne-Sophie Høyer

Peter BE Sandersen

Ingelise Møller

Thomas Mejer Hansen

2023/10/1

Why probabilistic models are often true, but can be either useful or useless.

EGU General Assembly Conference Abstracts

Thomas Mejer Hansen

Rasmus Bødker Madsen

2023/5

Probabilistic deconvolution of PET images using informed priors

Frontiers in Nuclear Medicine

Thomas Mejer Hansen

Klaus Mosegaard

Søren Holm

Flemming Littrup Andersen

Barbara Malene Fischer

...

2023/1/12

High‐Resolution Geological Information from Crosshole Ground Penetrating Radar in Clayey Tills

Groundwater Monitoring & Remediation

Bolette B Jensen

Louise Rosenberg

Aikaterini Tsitonaki

Nina Tuxen

Poul L Bjerg

...

2023/9

Moving away from deterministic solutions: A probabilistic machine learning approach to account for geological model uncertainty in groundwater modelling

EGU General Assembly Conference Abstracts

Mathias Busk Dahl

Troels Norvin Vilhelmsen

Rasmus Bødker Madsen

Thomas Mejer Hansen

2023/5

Classification of UXO and non-UXO from magnetic anomaly data: a case study on inversion of drone magnetic data from Rømø, Denmark

Geophysical Journal International

Mark David Wigh

Mick Emil Kolster

Thomas Mejer Hansen

Arne Døssing

2023/8

Hydraulic head change predictions in groundwater models using a probabilistic neural network

Frontiers in Water

Mathias Busk Dahl

Troels Norvin Vilhelmsen

Torben Bach

Thomas Mejer Hansen

2023/3/22

Comparison of Sampling Methods with Local Conditioning to Seismic Data

M Spremic

J Eidsvik

TM Hansen

2023/11/27

Probabilistic analysis of PET images using informed prior models and machine learning

Thomas Hansen

Mikkel Vendelbo

2023/6/1

Influence of process-based, stochastic and deterministic methods for representing heterogeneity in fluvial geothermal systems

Geothermics

Márton Major

Alexandros Daniilidis

Thomas Mejer Hansen

Mark Khait

Denis Voskov

2023/3/1

Stochastic Facies Inversion with Prior Sampling by Conditional Generative Adversarial Networks Based on Training Image

Mathematical Geosciences

Runhai Feng

Klaus Mosegaard

Dario Grana

Tapan Mukerji

Thomas Mejer Hansen

2023/11/23

Multiple-point statistics and non-colocational soft data integration

Computers & Geosciences

Óli D Jóhannsson

Thomas Mejer Hansen

2023/3/1

Incorporating interpretation uncertainties from deterministic 3D hydrostratigraphic models in groundwater models

Hydrology and Earth System Sciences Discussions

Trine Enemark

Rasmus Bødker Madsen

Torben O Sonnenborg

Lærke Therese Andersen

Peter BE Sandersen

...

2023/5/24

Neural network predictions of drawdown from groundwater abstraction in the Egebjerg catchment, Denmark

GEUS Bulletin

Mathias Busk Dahl

Troels Norvin Vilhelmsen

Trine Enemark

Thomas Mejer Hansen

2023/11/10

Multiple-point based simulation and estimation with uncertain data

Óli Dagmann Jóhannsson

Thomas Mejer Hansen

2022

The impact of water-filled boreholes on GPR data in a clayey-till environment

Bolette Badsberg Jensen

Louise Rosenberg

Lars Nielsen

Nina Tuxen

Katerina Tsitonaki

...

2022/10/13

Multiple point statistics-3 hydrological case studies

Mats Lundh Gulbrandsen

Tom Martlev Pallesen

Thomas Bager Rasmussen

Thomas Mejer Hansen

Ulrika Sabel

...

2022

See List of Professors in Thomas Mejer Hansen University(Aarhus Universitet)

Co-Authors

H-index: 39
Klaus Mosegaard

Klaus Mosegaard

Københavns Universitet

H-index: 35
Dario Grana

Dario Grana

University of Wyoming

H-index: 27
Bo Holm Jacobsen

Bo Holm Jacobsen

Aarhus Universitet

H-index: 22
Majken Caroline Looms

Majken Caroline Looms

Københavns Universitet

H-index: 22
Giulio Vignoli

Giulio Vignoli

Università degli Studi di Cagliari

H-index: 15
Arne Døssing Andreasen

Arne Døssing Andreasen

Danmarks Tekniske Universitet

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