Jo Eidsvik

1.9k total citations
93 papers, 1.4k citations indexed

About

Jo Eidsvik is a scholar working on Ocean Engineering, Artificial Intelligence and Environmental Engineering. According to data from OpenAlex, Jo Eidsvik has authored 93 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Ocean Engineering, 34 papers in Artificial Intelligence and 31 papers in Environmental Engineering. Recurrent topics in Jo Eidsvik's work include Reservoir Engineering and Simulation Methods (29 papers), Soil Geostatistics and Mapping (26 papers) and Seismic Imaging and Inversion Techniques (19 papers). Jo Eidsvik is often cited by papers focused on Reservoir Engineering and Simulation Methods (29 papers), Soil Geostatistics and Mapping (26 papers) and Seismic Imaging and Inversion Techniques (19 papers). Jo Eidsvik collaborates with scholars based in Norway, United States and United Kingdom. Jo Eidsvik's co-authors include Tapan Mukerji, Debarun Bhattacharjya, Gary Mavko, Henning Omre, Per Avseth, Steinar Løve Ellefmo, Brian J. Reich, Håvard Rue, Ragnar Hauge and Paul Switzer and has published in prestigious journals such as Journal of Computational Physics, Applied Energy and European Journal of Operational Research.

In The Last Decade

Jo Eidsvik

88 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jo Eidsvik Norway 21 597 373 367 346 311 93 1.4k
Olivier Dubrule United Kingdom 17 713 1.2× 394 1.1× 216 0.6× 498 1.4× 476 1.5× 41 1.6k
Alexandre Boucher United States 18 646 1.1× 964 2.6× 354 1.0× 267 0.8× 495 1.6× 35 2.0k
Stefano Marelli Switzerland 23 212 0.4× 265 0.7× 97 0.3× 187 0.5× 237 0.8× 80 2.7k
Henning Omre Norway 23 1.5k 2.6× 468 1.3× 293 0.8× 1.7k 4.8× 1.2k 3.8× 79 2.6k
Xavier Emery Chile 26 444 0.7× 1.5k 4.1× 1.2k 3.2× 164 0.5× 889 2.9× 172 2.5k
Peter A. Dowd Australia 27 411 0.7× 1.2k 3.1× 306 0.8× 256 0.7× 973 3.1× 133 2.4k
Alain Galli France 15 422 0.7× 384 1.0× 244 0.7× 123 0.4× 289 0.9× 49 979
Geoffrey C. Bohling United States 21 744 1.2× 1.4k 3.7× 289 0.8× 789 2.3× 611 2.0× 55 2.3k
Julien Straubhaar Switzerland 19 569 1.0× 1.1k 3.0× 288 0.8× 332 1.0× 268 0.9× 54 1.7k
Vasily Demyanov United Kingdom 24 1.0k 1.7× 329 0.9× 204 0.6× 120 0.3× 765 2.5× 109 1.5k

Countries citing papers authored by Jo Eidsvik

Since Specialization
Citations

This map shows the geographic impact of Jo Eidsvik's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jo Eidsvik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jo Eidsvik more than expected).

Fields of papers citing papers by Jo Eidsvik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jo Eidsvik. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jo Eidsvik. The network helps show where Jo Eidsvik may publish in the future.

Co-authorship network of co-authors of Jo Eidsvik

This figure shows the co-authorship network connecting the top 25 collaborators of Jo Eidsvik. A scholar is included among the top collaborators of Jo Eidsvik based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jo Eidsvik. Jo Eidsvik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ringrose, Philip, et al.. (2025). Invasion percolation Markov Chains – A probabilistic framework for assessing vertical CO2 migration. International journal of greenhouse gas control. 142. 104338–104338. 1 indexed citations
2.
Eidsvik, Jo, et al.. (2025). Multi-level data assimilation for ocean forecasting using the shallow-water equations. Journal of Computational Physics. 524. 113722–113722.
3.
Eidsvik, Jo, et al.. (2025). A Statistical Study of Latent Diffusion Models for Geological Facies Modeling. Mathematical Geosciences. 57(6). 1135–1159. 2 indexed citations
4.
Eidsvik, Jo, et al.. (2025). RRT*-enhanced long-horizon path planning for AUV adaptive sampling using a cost valley. Knowledge-Based Systems. 315. 113261–113261.
5.
Eidsvik, Jo, et al.. (2024). Latent diffusion model for conditional reservoir facies generation. Computers & Geosciences. 194. 105750–105750. 12 indexed citations
6.
Eidsvik, Jo, et al.. (2024). Sampling design methods for making improved lake management decisions. Environmetrics. 36(1). 1 indexed citations
7.
Eidsvik, Jo, et al.. (2024). Efficient 3D real-time adaptive AUV sampling of a river plume front. Frontiers in Marine Science. 10. 2 indexed citations
8.
Eidsvik, Jo, et al.. (2023). Comparison of ensemble‐based data assimilation methods for sparse oceanographic data. Quarterly Journal of the Royal Meteorological Society. 150(759). 1068–1095. 3 indexed citations
9.
Eidsvik, Jo, et al.. (2023). Bayesian rock-physics inversion using a localized ensemble-based approach — With an application to the Alvheim field. Geophysics. 89(2). R95–R108. 2 indexed citations
10.
Eidsvik, Jo, et al.. (2023). Dynamic stochastic modeling for adaptive sampling of environmental variables using an AUV. Autonomous Robots. 47(4). 483–502. 7 indexed citations
11.
Eidsvik, Jo, et al.. (2021). Efficient spatial designs using Hausdorff distances and Bayesian optimization. Scandinavian Journal of Statistics. 49(3). 1060–1084. 3 indexed citations
12.
Eidsvik, Jo, et al.. (2019). Seismic Waveform Inversion Using an Iterative Ensemble Kalman Smoother. 1–3. 2 indexed citations
13.
Eidsvik, Jo, et al.. (2017). Sequential information gathering schemes for spatial risk and decision analysis applications. Stochastic Environmental Research and Risk Assessment. 32(4). 1163–1177. 10 indexed citations
14.
15.
Bhattacharjya, Debarun, Jo Eidsvik, & Tapan Mukerji. (2013). The Value of Information in Portfolio Problems with Dependent Projects. Decision Analysis. 10(4). 341–351. 19 indexed citations
16.
Eidsvik, Jo, et al.. (2010). Analysis of prior models for a blocky inversion of seismic AVA data. Geophysics. 75(3). C25–C35. 60 indexed citations
17.
Eidsvik, Jo, Debarun Bhattacharjya, & Tapan Mukerji. (2008). Value of information of seismic amplitude and CSEM resistivity. Geophysics. 73(4). R59–R69. 35 indexed citations
18.
Eidsvik, Jo & Ketil Hokstad. (2006). Positioning drill-bit and look-ahead events using seismic traveltime data. Geophysics. 71(4). F79–F90. 11 indexed citations
19.
Eidsvik, Jo, Per Avseth, Henning Omre, Tapan Mukerji, & Gary Mavko. (2004). Stochastic reservoir characterization using prestack seismic data. Geophysics. 69(4). 978–993. 140 indexed citations
20.
Eidsvik, Jo, et al.. (2002). Seismic reservoir prediction using Bayesian integration of rock physics and Markov random fields: A North Sea example. The Leading Edge. 21(3). 290–294. 22 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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