C. Vuik

7.0k total citations
312 papers, 4.7k citations indexed

About

C. Vuik is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, C. Vuik has authored 312 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 167 papers in Computational Mechanics, 121 papers in Computational Theory and Mathematics and 66 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in C. Vuik's work include Advanced Numerical Methods in Computational Mathematics (122 papers), Matrix Theory and Algorithms (95 papers) and Electromagnetic Scattering and Analysis (65 papers). C. Vuik is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (122 papers), Matrix Theory and Algorithms (95 papers) and Electromagnetic Scattering and Analysis (65 papers). C. Vuik collaborates with scholars based in Netherlands, China and United States. C. Vuik's co-authors include F.J. Vermolen, H.A. van der Vorst, Yogi A. Erlangga, Cornelis W. Oosterlee, A. Śegal, Pieter Wesseling, Sybrand van der Zwaag, Matthias Möller, S.P. van der Pijl and Hadi Hajibeygi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Journal of Computational Physics.

In The Last Decade

C. Vuik

289 papers receiving 4.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
C. Vuik 2.1k 1.3k 945 811 688 312 4.7k
Michael Griebel 2.3k 1.1× 1.2k 1.0× 475 0.5× 559 0.7× 364 0.5× 148 6.7k
Graham F. Carey 4.2k 2.0× 1.0k 0.8× 367 0.4× 944 1.2× 607 0.9× 298 6.8k
Anders Logg 1.7k 0.8× 713 0.6× 242 0.3× 585 0.7× 391 0.6× 69 4.7k
Chein‐Shan Liu 1.2k 0.6× 716 0.6× 506 0.5× 539 0.7× 708 1.0× 436 7.1k
George Papanicolaou 1.3k 0.6× 2.1k 1.7× 546 0.6× 634 0.8× 436 0.6× 111 6.6k
Xiaoping Wang 1.7k 0.8× 364 0.3× 479 0.5× 996 1.2× 673 1.0× 308 5.6k
Garth N. Wells 2.2k 1.0× 988 0.8× 199 0.2× 497 0.6× 583 0.8× 79 6.0k
Olaf Schenk 918 0.4× 734 0.6× 467 0.5× 735 0.9× 366 0.5× 86 3.5k
Wolfgang Bangerth 1.9k 0.9× 670 0.5× 173 0.2× 551 0.7× 488 0.7× 81 4.3k
Mark S. Shephard 3.7k 1.8× 583 0.5× 175 0.2× 539 0.7× 537 0.8× 265 7.0k

Countries citing papers authored by C. Vuik

Since Specialization
Citations

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

Fields of papers citing papers by C. Vuik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Vuik

This figure shows the co-authorship network connecting the top 25 collaborators of C. Vuik. A scholar is included among the top collaborators of C. Vuik 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 C. Vuik. C. Vuik 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.
Vuik, C., et al.. (2025). Resampling Point Clouds Using Series of Local Triangulations. Journal of Imaging. 11(2). 49–49.
2.
Vuik, C., et al.. (2024). Critical assessment of the validity of quasi-static pore network modeling in the application of underground hydrogen storage. Advances in Water Resources. 193. 104812–104812. 2 indexed citations
3.
Chen, Kewang & C. Vuik. (2024). Non-stationary Anderson acceleration with optimized damping. Journal of Computational and Applied Mathematics. 451. 116077–116077. 1 indexed citations
4.
Ebadi, Ghodrat, et al.. (2024). New iterative methods for solving generalized absolute value equations. Computational and Applied Mathematics. 43(5).
5.
Chen, Kewang, et al.. (2023). On an improved PDE-based elliptic parameterization method for isogeometric analysis using preconditioned Anderson acceleration. Computer Aided Geometric Design. 102. 102191–102191. 7 indexed citations
6.
Vuik, C., et al.. (2023). Numerical Methods for Ordinary Differential Equations. Research Repository (Delft University of Technology). 11 indexed citations
7.
Wang, Yuhang, Ziliang Zhang, C. Vuik, & Hadi Hajibeygi. (2023). Simulation of CO2 Storage Using a Parameterization Method for Essential Trapping Physics: FluidFlower Benchmark Study. Transport in Porous Media. 151(5). 1053–1070. 8 indexed citations
8.
Wang, Luyu, Yuhang Wang, C. Vuik, & Hadi Hajibeygi. (2022). Accurate modeling and simulation of seepage in 3D heterogeneous fractured porous media with complex structures. Computers and Geotechnics. 150. 104923–104923. 16 indexed citations
9.
Vuik, C., et al.. (2021). Optimal flow for general multi-carrier energy systems, including load flow equations. Results in Control and Optimization. 5. 100050–100050.
10.
Lahaye, Domenico, et al.. (2021). The nitric oxide formation in anode baking furnace through numerical modeling. International Journal of Thermofluids. 12. 100122–100122. 4 indexed citations
11.
Vuik, C., et al.. (2021). A novel linearized power flow approach for transmission and distribution networks. Journal of Computational and Applied Mathematics. 394. 113572–113572. 4 indexed citations
12.
Möller, Matthias, et al.. (2021). Towards accuracy and scalability: Combining Isogeometric Analysis with deflation to obtain scalable convergence for the Helmholtz equation. Computer Methods in Applied Mechanics and Engineering. 377. 113694–113694. 5 indexed citations
13.
Vandenplas, Jérémie, et al.. (2021). Convergence behavior of single-step GBLUP and SNPBLUP for different termination criteria. Genetics Selection Evolution. 53(1). 34–34. 2 indexed citations
14.
Vandenplas, Jérémie, M.P.L. Calus, H. Eding, & C. Vuik. (2019). A second-level diagonal preconditioner for single-step SNPBLUP. Genetics Selection Evolution. 51(1). 30–30. 16 indexed citations
15.
Vandenplas, Jérémie, H. Eding, M.P.L. Calus, & C. Vuik. (2018). Deflated preconditioned conjugate gradient method for solving single-step BLUP models efficiently. Genetics Selection Evolution. 50(1). 15 indexed citations
16.
Möller, Matthias & C. Vuik. (2017). On the impact of quantum computing technology on future developments in high-performance scientific computing. Ethics and Information Technology. 19(4). 253–269. 81 indexed citations
17.
Bonnier, P.G., et al.. (2012). A parallel linear solver exploiting the physical properties of the underlying mechanical problem. Research Repository (Delft University of Technology). 2 indexed citations
18.
Vuik, C., et al.. (2008). A local theta scheme for advection problems with strongly varying meshes and velocity profiles. Research Repository (Delft University of Technology). 5 indexed citations
19.
Tang, Jinyu & C. Vuik. (2007). EFFICIENT DEFLATION METHODS APPLIED TO 3-D BUBBLY FLOW PROBLEMS. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 54(2). 2140–2142. 13 indexed citations
20.
Pijl, S.P. van der, A. Śegal, & C. Vuik. (2003). A mass conserving level set (MCLS) method for modeling of multi-phase flows. Research Repository (Delft University of Technology). 59 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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