Frédéric Gibou

5.9k total citations · 3 hit papers
104 papers, 4.5k citations indexed

About

Frédéric Gibou is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Frédéric Gibou has authored 104 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Computational Mechanics, 20 papers in Computational Theory and Mathematics and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Frédéric Gibou's work include Advanced Numerical Methods in Computational Mathematics (35 papers), Lattice Boltzmann Simulation Studies (25 papers) and Advanced Mathematical Modeling in Engineering (17 papers). Frédéric Gibou is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (35 papers), Lattice Boltzmann Simulation Studies (25 papers) and Advanced Mathematical Modeling in Engineering (17 papers). Frédéric Gibou collaborates with scholars based in United States, South Korea and France. Frédéric Gibou's co-authors include Chohong Min, Ronald Fedkiw, Ron Fedkiw, Frank Losasso, Stanley Osher, Myungjoo Kang, Duc Nguyen, Li‐Tien Cheng, Mohammad Mirzadeh and Liguo Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Physical review. B, Condensed matter.

In The Last Decade

Frédéric Gibou

101 papers receiving 4.3k citations

Hit Papers

Simulating water and smoke with an octree data structure 2002 2026 2010 2018 2004 2002 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frédéric Gibou United States 36 3.1k 777 492 474 468 104 4.5k
Ulrich Rüde Germany 33 2.2k 0.7× 224 0.3× 825 1.7× 305 0.6× 278 0.6× 179 3.4k
David Adalsteinsson United States 19 1.2k 0.4× 409 0.5× 288 0.6× 172 0.4× 203 0.4× 37 2.9k
Z.J. Wang United States 41 6.7k 2.2× 158 0.2× 380 0.8× 94 0.2× 286 0.6× 256 7.6k
Robert D. Russell Canada 33 2.3k 0.7× 202 0.3× 308 0.6× 117 0.2× 498 1.1× 68 4.6k
Martin Rumpf Germany 32 1.5k 0.5× 875 1.1× 65 0.1× 194 0.4× 198 0.4× 131 2.8k
Li‐Tien Cheng United States 20 1.0k 0.3× 271 0.3× 156 0.3× 212 0.4× 161 0.3× 42 1.9k
J.Z. Zhu China 18 4.4k 1.4× 387 0.5× 1.4k 2.8× 153 0.3× 3.1k 6.7× 40 5.6k
Garth N. Wells United Kingdom 30 2.2k 0.7× 129 0.2× 497 1.0× 744 1.6× 2.5k 5.3× 79 6.0k
Wolfgang Bangerth United States 27 1.9k 0.6× 190 0.2× 551 1.1× 238 0.5× 814 1.7× 81 4.3k
Gerhard Dziuk Germany 24 1.7k 0.5× 268 0.3× 112 0.2× 235 0.5× 400 0.9× 48 2.4k

Countries citing papers authored by Frédéric Gibou

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Gibou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frédéric Gibou. 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 Frédéric Gibou. The network helps show where Frédéric Gibou may publish in the future.

Co-authorship network of co-authors of Frédéric Gibou

This figure shows the co-authorship network connecting the top 25 collaborators of Frédéric Gibou. A scholar is included among the top collaborators of Frédéric Gibou 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 Frédéric Gibou. Frédéric Gibou 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.
Gibou, Frédéric, et al.. (2025). Drag reduction in surfactant-contaminated superhydrophobic channels at high Péclet numbers. Journal of Fluid Mechanics. 1010.
2.
Peaudecerf, François J., et al.. (2025). Exogenous–Endogenous Surfactant Interaction Yields Heterogeneous Spreading in Complex Branching Networks. Physical Review Letters. 134(3). 34001–34001. 1 indexed citations
3.
Gibou, Frédéric, et al.. (2025). Optimal control for stochastic neural oscillators. Biological Cybernetics. 119(2-3). 9–9. 1 indexed citations
4.
Gibou, Frédéric, et al.. (2024). Unsteady evolution of slip and drag in surfactant-contaminated superhydrophobic channels. Journal of Fluid Mechanics. 1000. 1 indexed citations
5.
Gibou, Frédéric, et al.. (2023). Machine learning algorithms for three-dimensional mean-curvature computation in the level-set method. Journal of Computational Physics. 478. 111995–111995. 1 indexed citations
6.
Pollock, Tresa M., et al.. (2023). A numerical method for sharp-interface simulations of multicomponent alloy solidification. Journal of Computational Physics. 494. 112494–112494. 2 indexed citations
7.
Peaudecerf, François J., et al.. (2023). A single parameter can predict surfactant impairment of superhydrophobic drag reduction. Proceedings of the National Academy of Sciences. 120(3). e2211092120–e2211092120. 17 indexed citations
8.
Gibou, Frédéric, et al.. (2023). Laminar drag reduction in surfactant-contaminated superhydrophobic channels. Journal of Fluid Mechanics. 963. 7 indexed citations
9.
Gibou, Frédéric, et al.. (2023). JAX-DIPS: Neural bootstrapping of finite discretization methods and application to elliptic problems with discontinuities. Journal of Computational Physics. 493. 112480–112480. 8 indexed citations
10.
Gibou, Frédéric, et al.. (2022). Error-Correcting Neural Networks for Two-Dimensional Curvature Computation in the Level-Set Method. arXiv (Cornell University). 2 indexed citations
11.
Margetis, Dionisios, et al.. (2019). An examination of scaling behavior in unstable epitaxial mound growth via kinetic Monte Carlo simulations. Journal of Physics Condensed Matter. 31(36). 365301–365301. 3 indexed citations
12.
Johnson, I. B., Christian Rätsch, Frédéric Gibou, & Dionisios Margetis. (2019). Slope selection in unstable multilayer growth in 1+1 dimensions: Step flow models with downward funneling. Physical review. E. 100(5). 52802–52802.
13.
Luzzatto‐Fegiz, Paolo, et al.. (2017). Marangoni stresses due to surfactant traces can severely limit the drag reduction of superhydrophobic surfaces. Bulletin of the American Physical Society. 1 indexed citations
14.
Gibou, Frédéric, Ronald Fedkiw, & Stanley Osher. (2017). A review of level-set methods and some recent applications. Journal of Computational Physics. 353. 82–109. 293 indexed citations breakdown →
15.
Mirzadeh, Mohammad, Frédéric Gibou, & Todd M. Squires. (2014). Enhanced Charging Kinetics of Porous Electrodes: Surface Conduction as a Short-Circuit Mechanism. Physical Review Letters. 113(9). 97701–97701. 67 indexed citations
16.
Mirzadeh, Mohammad, et al.. (2012). Minimum energy desynchronizing control for coupled neurons. Journal of Computational Neuroscience. 34(2). 259–271. 49 indexed citations
17.
Theillard, Maxime, et al.. (2012). A second-order sharp numerical method for solving the linear elasticity equations on irregular domains and adaptive grids – Application to shape optimization. Journal of Computational Physics. 233. 430–448. 28 indexed citations
18.
Bertelli, Luca, Prasenjit Ghosh, B.S. Manjunath, & Frédéric Gibou. (2008). Robust depth estimation for efficient 3D face reconstruction. International Conference on Image Processing. 1 indexed citations
19.
Bertelli, Luca, Baris Sumengen, B.S. Manjunath, & Frédéric Gibou. (2008). A Variational Framework for Multiregion Pairwise-Similarity-Based Image Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 30(8). 1400–1414. 40 indexed citations
20.
Gibou, Frédéric, Doron Levy, Carlos Cárdenas, Pingyu Liu, & A Boyer. (2005). Partial Differential Equations-Based Segmentation for Radiotherapy Treatment Planning. Mathematical Biosciences & Engineering. 2(2). 209–226. 17 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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