Knut‐Andreas Lie

6.6k total citations · 1 hit paper
171 papers, 4.2k citations indexed

About

Knut‐Andreas Lie is a scholar working on Computational Mechanics, Ocean Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Knut‐Andreas Lie has authored 171 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Computational Mechanics, 78 papers in Ocean Engineering and 70 papers in Computational Theory and Mathematics. Recurrent topics in Knut‐Andreas Lie's work include Advanced Numerical Methods in Computational Mathematics (84 papers), Advanced Mathematical Modeling in Engineering (67 papers) and Reservoir Engineering and Simulation Methods (61 papers). Knut‐Andreas Lie is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (84 papers), Advanced Mathematical Modeling in Engineering (67 papers) and Reservoir Engineering and Simulation Methods (61 papers). Knut‐Andreas Lie collaborates with scholars based in Norway, United States and France. Knut‐Andreas Lie's co-authors include Olav Møyner, Stein Krogstad, Jostein R. Natvig, Halvor Møll Nilsen, Jørg Aarnes, Vegard Kippe, Bård Skaflestad, Kenneth H. Karlsen, Ingeborg Skjelkvåle Ligaarden and Odd Andersen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and Journal of Computational Physics.

In The Last Decade

Knut‐Andreas Lie

164 papers receiving 4.0k citations

Hit Papers

An Introduction to Reservoir Simulation Using MATLAB/GNU ... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Knut‐Andreas Lie Norway 34 1.9k 1.8k 1.4k 1.3k 1.1k 171 4.2k
Mary F. Wheeler United States 46 4.8k 2.6× 2.0k 1.1× 2.4k 1.8× 1.9k 1.5× 1.2k 1.1× 280 8.4k
Guy Chavent France 29 1.1k 0.6× 1.7k 1.0× 537 0.4× 1.1k 0.9× 577 0.5× 92 4.3k
Todd Arbogast United States 29 2.7k 1.5× 434 0.2× 2.0k 1.5× 396 0.3× 480 0.4× 96 3.6k
Michael Andrew Christie United Kingdom 20 982 0.5× 1.3k 0.7× 1.1k 0.8× 734 0.6× 575 0.5× 61 2.4k
Yalchin Efendiev United States 45 4.6k 2.5× 958 0.5× 4.7k 3.5× 726 0.6× 707 0.7× 234 6.7k
Hamdi A. Tchelepi United States 53 4.3k 2.3× 4.5k 2.5× 3.0k 2.2× 2.8k 2.3× 3.8k 3.5× 328 10.4k
Richard E. Ewing United States 40 4.5k 2.4× 705 0.4× 2.0k 1.5× 672 0.5× 918 0.8× 190 6.3k
Margot Gerritsen United States 23 750 0.4× 977 0.5× 419 0.3× 502 0.4× 347 0.3× 95 2.4k
Mary F. Wheeler United States 40 5.0k 2.7× 556 0.3× 2.2k 1.6× 656 0.5× 478 0.4× 107 6.3k
Robert Eymard France 34 2.2k 1.2× 401 0.2× 1.0k 0.8× 399 0.3× 273 0.3× 152 3.5k

Countries citing papers authored by Knut‐Andreas Lie

Since Specialization
Citations

This map shows the geographic impact of Knut‐Andreas Lie'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 Knut‐Andreas Lie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Knut‐Andreas Lie more than expected).

Fields of papers citing papers by Knut‐Andreas Lie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Knut‐Andreas Lie. 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 Knut‐Andreas Lie. The network helps show where Knut‐Andreas Lie may publish in the future.

Co-authorship network of co-authors of Knut‐Andreas Lie

This figure shows the co-authorship network connecting the top 25 collaborators of Knut‐Andreas Lie. A scholar is included among the top collaborators of Knut‐Andreas Lie 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 Knut‐Andreas Lie. Knut‐Andreas Lie 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
2.
Møyner, Olav & Knut‐Andreas Lie. (2025). A Data-Driven Approach to Select Optimal Time Steps for Complex Reservoir Models. SPE Reservoir Simulation Conference.
3.
Lie, Knut‐Andreas, et al.. (2025). Grid-Orientation Effects in the 11th SPE Comparative Solution Project Using Unstructured Grids and Consistent Discretizations. SPE Reservoir Simulation Conference. 1 indexed citations
4.
Andersen, Torben, et al.. (2025). A Comparison of DILU And ILU(0) as GPU-Accelerated Preconditioners. SPE Reservoir Simulation Conference. 1 indexed citations
5.
Lie, Knut‐Andreas, et al.. (2024). Three-dimensional simulation of geologic carbon dioxide sequestration using MRST. ADVANCES IN GEO-ENERGY RESEARCH. 14(1). 34–48. 4 indexed citations
6.
Nordbotten, Jan M., Martin A. Fernø, Bernd Flemisch, Anthony R. Kovscek, & Knut‐Andreas Lie. (2024). The 11th Society of Petroleum Engineers Comparative Solution Project: Problem Definition. SPE Journal. 29(5). 2507–2524. 16 indexed citations
7.
Lie, Knut‐Andreas, et al.. (2024). Enhancing Performance of Complex Reservoir Models via Convergence Monitors. 1–9. 1 indexed citations
8.
Yan, Bicheng, et al.. (2024). A Novel Hybrid Physics/Data-Driven Model for Fractured Reservoir Simulation. SPE Journal. 29(12). 7029–7045. 4 indexed citations
9.
Xiong, Wei, Liehui Zhang, Yulong Zhao, et al.. (2024). Compositional Simulation for Carbon Storage in Porous Media Using an Electrolyte Association Equation of State. SPE Journal. 29(6). 3314–3336. 7 indexed citations
11.
Lie, Knut‐Andreas & Stein Krogstad. (2023). Data-driven modelling with coarse-grid network models. Computational Geosciences. 28(2). 273–287. 5 indexed citations
12.
Lie, Knut‐Andreas & Stein Krogstad. (2022). Comparison of two different types of reduced graph-based reservoir models: Interwell networks (GPSNet) versus aggregated coarse-grid networks (CGNet). Geoenergy Science and Engineering. 221. 111266–111266. 6 indexed citations
13.
Ju, Binshan, et al.. (2021). Embedded discrete fracture modeling: Flow diagnostics, non-Darcy flow, and well placement optimization. Journal of Petroleum Science and Engineering. 208. 109477–109477. 10 indexed citations
14.
Møyner, Olav, et al.. (2020). An implicit local time-stepping method based on cell reordering for multiphase flow in porous media. SHILAP Revista de lepidopterología. 6. 100051–100051. 12 indexed citations
15.
Lie, Knut‐Andreas, et al.. (2019). A fully implicit WENO scheme on stratigraphic and unstructured polyhedral grids. Computational Geosciences. 24(2). 405–423. 11 indexed citations
16.
Møyner, Olav, et al.. (2016). The multiscale restriction smoothed basis method for fractured porous media (F-MsRSB). Journal of Computational Physics. 318. 36–57. 62 indexed citations
17.
Alpak, Faruk O., Mayur Pal, & Knut‐Andreas Lie. (2011). A Multiscale Method for Modeling Flow in Stratigraphically Complex Reservoirs. 16 indexed citations
18.
Tai, Xue‐Cheng, et al.. (2009). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface. 1 indexed citations
19.
Kippe, Vegard, et al.. (2008). Multiscale-Streamline Simulation and Dynamic Data Integration for High-Resolution Subsurface Models. Water Resources Research. 1 indexed citations
20.
Tai, Xue‐Cheng, Knut‐Andreas Lie, Tony F. Chan, & Stanley Osher. (2007). Image Processing Based on Partial Differential Equations: Proceedings of the International Conference on PDE-Based Image Processing and Related Inverse ... 8-12, 2005 (Mathematics and Visualization). Springer eBooks. 2 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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