Kai Schneider

5.5k total citations
195 papers, 3.7k citations indexed

About

Kai Schneider is a scholar working on Computational Mechanics, Environmental Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kai Schneider has authored 195 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Computational Mechanics, 43 papers in Environmental Engineering and 37 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kai Schneider's work include Fluid Dynamics and Turbulent Flows (123 papers), Wind and Air Flow Studies (42 papers) and Fluid Dynamics and Vibration Analysis (36 papers). Kai Schneider is often cited by papers focused on Fluid Dynamics and Turbulent Flows (123 papers), Wind and Air Flow Studies (42 papers) and Fluid Dynamics and Vibration Analysis (36 papers). Kai Schneider collaborates with scholars based in France, Germany and United States. Kai Schneider's co-authors include Marie Farge, Dmitry Kolomenskiy, Oleg V. Vasilyev, Giulio Pellegrino, Nicholas Kevlahan, Jochen Fröhlich, Wouter J. T. Bos, Olivier Roussel, Benjamin Kadoch and Margarete Oliveira Domingues and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Kai Schneider

187 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Schneider France 32 2.5k 658 563 540 494 195 3.7k
Marie Farge France 27 2.2k 0.9× 1.1k 1.7× 629 1.1× 773 1.4× 914 1.9× 99 4.6k
Oleg V. Vasilyev United States 28 3.2k 1.3× 990 1.5× 710 1.3× 696 1.3× 603 1.2× 110 4.1k
M. Israeli Israel 22 2.1k 0.8× 344 0.5× 366 0.7× 439 0.8× 233 0.5× 106 3.7k
E. J. Hopfinger France 29 3.0k 1.2× 594 0.9× 641 1.1× 95 0.2× 485 1.0× 61 4.5k
M. Y. Hussaini United States 18 2.8k 1.1× 476 0.7× 1.1k 2.0× 74 0.1× 322 0.7× 41 6.4k
Allan D. Pierce United States 25 709 0.3× 358 0.5× 1.0k 1.8× 155 0.3× 251 0.5× 184 4.2k
J. Kompenhans Germany 24 3.0k 1.2× 670 1.0× 1.6k 2.9× 294 0.5× 144 0.3× 104 4.5k
Bernhard Wieneke Netherlands 21 3.2k 1.3× 786 1.2× 1.6k 2.8× 421 0.8× 125 0.3× 42 4.4k
Guang-Shan Jiang United States 7 5.5k 2.2× 198 0.3× 1.0k 1.8× 62 0.1× 617 1.2× 8 6.4k
Z.J. Wang United States 41 6.7k 2.6× 359 0.5× 1.5k 2.7× 133 0.2× 432 0.9× 256 7.6k

Countries citing papers authored by Kai Schneider

Since Specialization
Citations

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

Fields of papers citing papers by Kai Schneider

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Schneider

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Schneider. A scholar is included among the top collaborators of Kai Schneider 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 Kai Schneider. Kai Schneider 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.
Kadoch, Benjamin, et al.. (2025). Tessellation-based analysis of impurity clustering in the edge plasma of tokamaks. Journal of Plasma Physics. 91(1). 1 indexed citations
2.
Nave, Jean‐Christophe, et al.. (2024). Singularity formation of vortex sheets in two-dimensional Euler equations using the characteristic mapping method. Physics of Fluids. 36(12). 1 indexed citations
3.
Plata, Marta de la Llave, et al.. (2023). h-adaptation for high-order discontinuous Galerkin schemes built on local multiwavelet analysis. Computers & Fluids. 256. 105844–105844. 3 indexed citations
4.
Matsuda, Keigo, et al.. (2023). Computing differential operators of the particle velocity in moving particle clouds using tessellations. Journal of Computational Physics. 498. 112658–112658. 3 indexed citations
5.
Zhao, Jitong, et al.. (2023). Effect of surface profiling on the mechanical properties and bond behaviour of mineral-impregnated, carbon-fibre (MCF) reinforcement based on geopolymer. Construction and Building Materials. 367. 130199–130199. 23 indexed citations
6.
Schneider, Kai, et al.. (2023). A Characteristic Mapping Method for the three-dimensional incompressible Euler equations. Journal of Computational Physics. 477. 111876–111876. 5 indexed citations
7.
Kadoch, Benjamin, D. del-Castillo-Negrete, Wouter J. T. Bos, & Kai Schneider. (2022). Lagrangian conditional statistics and flow topology in edge plasma turbulence. Physics of Plasmas. 29(10). 7 indexed citations
8.
Apte, Sourabh V., et al.. (2022). Clustering of inertial particles in turbulent flow through a porous unit cell. Journal of Fluid Mechanics. 937. 6 indexed citations
9.
Mercier, Olivier, et al.. (2020). A Characteristic Mapping method for the two-dimensional incompressible Euler equations. Journal of Computational Physics. 424. 109781–109781. 10 indexed citations
10.
Nave, Jean‐Christophe, et al.. (2016). Aerodynamic Ground Effect in Fruitfly Sized Insect Takeoff: Source Codes and Datasets. Open Science Framework. 1 indexed citations
11.
Farge, Marie & Kai Schneider. (2016). Applications of continuous and orthogonal wavelet transforms to MHD and plasma turbulence. Bulletin of the American Physical Society. 2016. 1 indexed citations
12.
Schneider, Kai, N. Fedorczak, F. Brochard, et al.. (2012). Tomographic reconstruction of tokamak plasma light emission using wavelet-vaguelette decomposition. Bulletin of the American Physical Society. 54. 1 indexed citations
13.
Bos, Wouter J. T., et al.. (2008). Rapid Generation of Angular Momentum in Bounded Magnetized Plasma. Physical Review Letters. 101(23). 235003–235003. 15 indexed citations
14.
Sonnendrücker, Éric, et al.. (2007). Wavelet denoising for postprocessing of a 2D Particle - In - Cell code. ESAIM Proceedings. 16. 195–210. 11 indexed citations
15.
Schneider, Kai, et al.. (2007). Coherent Vortex Simulation (CVS) of compressible turbulent mixing layers using adaptive multiresolution methods. Bulletin of the American Physical Society. 60. 1 indexed citations
16.
Schneider, Kai & Marie Farge. (2005). Decaying two-dimensional turbulence in a circular container. APS Division of Fluid Dynamics Meeting Abstracts. 58. 3 indexed citations
17.
Farge, Marie, Kai Schneider, & P. Devynck. (2005). Extraction of coherent bursts from turbulent edge plasma in Tokamak Tore-Supra using orthogonal wavelets. Bulletin of the American Physical Society. 47. 1 indexed citations
18.
Farge, Marie, et al.. (2003). The effect of rotation on a shallow water flow past a cylinder: Comparison between numerical and laboratory experiments. APS Division of Fluid Dynamics Meeting Abstracts. 56. 1 indexed citations
19.
Fröhlich, Jochen & Kai Schneider. (1993). An Adaptive Wavelet Galerkin Algorithm for one and two Dimensional Flame Computations. European Journal of Mechanics - B/Fluids. 13(4). 439–471. 25 indexed citations
20.
Schneider, Kai. (1991). Existence and Approximation Results to the Cauchy Problem for a Class of Differential-Algebraic Equations. Zeitschrift für Analysis und ihre Anwendungen. 10(3). 375–384. 1 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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