Jo Eidsvik
Impact in
- Ocean Engineering top 0.5%
- Reservoir Engineering and Simulation Methods
- Drilling and Well Engineering
- Environmental Engineering top 2%
- Soil Geostatistics and Mapping
Papers in ⓘ
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- Reservoir Engineering and Simulation Methods 29
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- Geochemistry and Geologic Mapping 16
- Bayesian Modeling and Causal Inference 7
- Co-authors
- Tapan Mukerji (15 shared papers)Debarun Bhattacharjya (10 shared papers)Per Avseth (3 shared papers)Gary Mavko (2 shared papers)Henning Omre (2 shared papers)Steinar Løve Ellefmo (3 shared papers)Brian J. Reich (3 shared papers)Håvard Rue (2 shared papers)
- Journals
- Geophysics (8 papers)Mathematical Geosciences (8 papers)Computational Statistics & Data Analysis (4 papers)Computers & Geosciences (3 papers)Statistics and Computing (3 papers)
- Partner nations
- NorwayUnited StatesUnited Kingdom
In The Last Decade
Jo Eidsvik
88 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 101
- Ocean Engineering 597
- Environmental Engineering 373
- Geophysics 346
- Statistics and Probability 101
- Artificial Intelligence 367
Countries citing papers authored by Jo Eidsvik
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
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-authors
The 25 scholars most cited alongside Jo Eidsvik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 140 | |
| 2 | 2013 | 84 | |
| 3 | 2015 | 62 | |
| 4 | 2010 | 60 | |
| 5 | 2019 | 57 | |
| 6 | 2004 | 51 | |
| 7 | 2011 | 47 | |
| 8 | 2009 | 45 | |
| 9 | A CLASS OF COVARIATE-DEPENDENT SPATIOTEMPORAL COVARIANCE FUNCTIONS FOR THE ANALYSIS OF DAILY OZONE CONCENTRATION1 | 2011 | 40 |
| 10 | 2016 | 40 | |
| 11 | 2018 | 37 | |
| 12 | 2008 | 35 | |
| 13 | 2008 | 33 | |
| 14 | 2018 | 32 | |
| 15 | 2012 | 29 | |
| 16 | 2011 | 26 | |
| 17 | 2013 | 25 | |
| 18 | 2010 | 24 | |
| 19 | 2008 | 24 | |
| 20 | 2002 | 22 |
About Jo Eidsvik
Jo Eidsvik is a scholar working on Ocean Engineering, Artificial Intelligence, Environmental Engineering, Geophysics and Oceanography, having authored 93 papers that have together received 1.4k indexed citations. Recurring topics across this work include Reservoir Engineering and Simulation Methods (29 papers), Soil Geostatistics and Mapping (26 papers), Seismic Imaging and Inversion Techniques (19 papers), Geochemistry and Geologic Mapping (16 papers), Hydraulic Fracturing and Reservoir Analysis (9 papers), Seismic Waves and Analysis (7 papers), Geological Modeling and Analysis (7 papers) and Bayesian Modeling and Causal Inference (7 papers). The work is most often cited by research in Ocean Engineering (597 citations), Environmental Engineering (373 citations), Geophysics (346 citations), Statistics and Probability (101 citations) and Artificial Intelligence (367 citations). Jo Eidsvik has collaborated with scholars based in Norway, United States and United Kingdom. Frequent co-authors include Tapan Mukerji, Debarun Bhattacharjya, Per Avseth, Gary Mavko, Henning Omre, Steinar Løve Ellefmo, Brian J. Reich, Håvard Rue, Ragnar Hauge and Paul Switzer. Their work appears in journals such as Geophysics, Mathematical Geosciences, Computational Statistics & Data Analysis, Computers & Geosciences and Statistics and Computing.
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.