Jo Eidsvik

About Jo Eidsvik

Jo Eidsvik, With an exceptional h-index of 24 and a recent h-index of 17 (since 2020), a distinguished researcher at Norges teknisk-naturvitenskaplige universitet, specializes in the field of Statistics, Value of information, Earth Sciences.

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

Multi-level data assimilation for simplified ocean models

Bayesian rock-physics inversion using a localized ensemble-based approach—With an application to the Alvheim field

Targeted CO2 storage monitoring in a multi-layer stratigraphic system

Evaluating geophysical monitoring strategies for a CO2 storage project

Sampling design methods for making improved lake management decisions

Efficient 3D real-time adaptive AUV sampling of a river plume front

Comparison of ensemble‐based data assimilation methods for sparse oceanographic data

A practical and efficient approach for Bayesian reservoir inversion: Insights from the Alvheim field data

Jo Eidsvik Information

University

Position

Mathematical sciences

Citations(all)

2150

Citations(since 2020)

1117

Cited By

1510

hIndex(all)

24

hIndex(since 2020)

17

i10Index(all)

47

i10Index(since 2020)

34

Email

University Profile Page

Norges teknisk-naturvitenskaplige universitet

Google Scholar

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Jo Eidsvik Skills & Research Interests

Statistics

Value of information

Earth Sciences

Top articles of Jo Eidsvik

Title

Journal

Author(s)

Publication Date

Multi-level data assimilation for simplified ocean models

Nonlinear Processes in Geophysics Discussions

Florian Beiser

Håvard Heitlo Holm

Kjetil Olsen Lye

Jo Eidsvik

2024/1/4

Bayesian rock-physics inversion using a localized ensemble-based approach—With an application to the Alvheim field

Geophysics

Mina Spremić

Jo Eidsvik

Per Avseth

2024/3/1

Targeted CO2 storage monitoring in a multi-layer stratigraphic system

1st Caprock Integrity & Gas Storage Symposium 2024

Geetartha Dutta

Ricardo Martinez

Philip Ringrose

Jo Eidsvik

2024

Evaluating geophysical monitoring strategies for a CO2 storage project

Computers & Geosciences

Susan Anyosa

Jo Eidsvik

Dario Grana

2024/2/10

Sampling design methods for making improved lake management decisions

Environmetrics

Vilja Koski

Jo Eidsvik

2024/2/8

Efficient 3D real-time adaptive AUV sampling of a river plume front

Frontiers in Marine Science

Martin Outzen Berild

Yaolin Ge

Jo Eidsvik

Geir-Arne Fuglstad

Ingrid Ellingsen

2024/1/17

Comparison of ensemble‐based data assimilation methods for sparse oceanographic data

Quarterly Journal of the Royal Meteorological Society

Florian Beiser

Håvard Heitlo Holm

Jo Eidsvik

2024/1/12

A practical and efficient approach for Bayesian reservoir inversion: Insights from the Alvheim field data

arXiv preprint arXiv:2403.03656

Karen S Auestad

The Tien Mai

Mina Spremic

Jo Eidsvik

2024/3/6

Value of Seismic Monitoring of CO2 Storage in a Multi-Layer Stratigraphic System

G Dutta

J Eidsvik

P Ringrose

2023/11/27

Adaptive spatial designs minimizing the integrated Bernoulli variance in spatial logistic regression models-with an application to benthic habitat mapping

Computational Statistics & Data Analysis

Susan Anyosa

Jo Eidsvik

Oscar Pizarro

2023/3/1

Latent Diffusion Model for Conditional Reservoir Facies Generation

arXiv preprint arXiv:2311.01968

Daesoo Lee

Oscar Ovanger

Jo Eidsvik

Erlend Aune

Jacob Skauvold

...

2023/11/3

Symposium on Advances in Ocean Observation

Limnology and Oceanography Bulletin

Kanna Rajan

Aida Alvera Azcarate

Jo Eidsvik

Ajit Subramaniam

2023

Simultaneous tracking of multiple whales using two fiber-optic cables in the Arctic

Frontiers in Marine Science

Robin André Rørstadbotnen

Jo Eidsvik

Léa Bouffaut

Martin Landrø

John Potter

...

2023/4/28

Using Latent Diffusion Models for Generating Conditional Facies Realizations: a Study Against Truncated Gaussian Random Fields

O Ovanger

D Lee

J Skauvold

R Hauge

J Eidsvik

...

2023/11/27

3-D adaptive AUV sampling for classification of water masses

IEEE Journal of Oceanic Engineering

Yaolin Ge

Jo Eidsvik

Tore Mo-Bjørkelund

2023/4/26

Detecting Events in Distributed Acoustic Sensing Data Using DBSCAN and CNNs

K Truong

J Eidsvik

RA Rørstadbotnen

2023/11/27

Dynamic stochastic modeling for adaptive sampling of environmental variables using an AUV

Autonomous Robots

Gunhild Elisabeth Berget

Jo Eidsvik

Morten Omholt Alver

Tor Arne Johansen

2023/4

Comparison of Sampling Methods with Local Conditioning to Seismic Data

M Spremic

J Eidsvik

TM Hansen

2023/11/27

Ensemble and self-supervised learning for improved classification of seismic signals from the Åknes rockslope

Mathematical Geosciences

Daesoo Lee

Erlend Aune

Nadège Langet

Jo Eidsvik

2023/4

Using an autonomous underwater vehicle with onboard stochastic advection‐diffusion models to map excursion sets of environmental variables

Environmetrics

Karine Hagesæther Foss

Gunhild Elisabeth Berget

Jo Eidsvik

2022/2

See List of Professors in Jo Eidsvik University(Norges teknisk-naturvitenskaplige universitet)

Co-Authors

H-index: 63
Håvard Rue

Håvard Rue

King Abdullah University of Science and Technology

H-index: 62
Gary Mavko, Gerald Mavko, Gerald M Mavko, GM Mavko, G M Mavko, G Mavko

Gary Mavko, Gerald Mavko, Gerald M Mavko, GM Mavko, G M Mavko, G Mavko

Stanford University

H-index: 46
Brian J Reich

Brian J Reich

North Carolina State University

H-index: 44
Bjorn Ursin

Bjorn Ursin

Norges teknisk-naturvitenskaplige universitet

H-index: 36
Daniel Simpson

Daniel Simpson

University of Toronto

H-index: 30
Michele Guindani

Michele Guindani

University of California, Irvine

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