Jacques Liandrat

927 total citations
49 papers, 565 citations indexed

About

Jacques Liandrat is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Jacques Liandrat has authored 49 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computational Mechanics, 27 papers in Computer Vision and Pattern Recognition and 13 papers in Computational Theory and Mathematics. Recurrent topics in Jacques Liandrat's work include Image and Signal Denoising Methods (25 papers), Advanced Numerical Analysis Techniques (17 papers) and Advanced Mathematical Modeling in Engineering (12 papers). Jacques Liandrat is often cited by papers focused on Image and Signal Denoising Methods (25 papers), Advanced Numerical Analysis Techniques (17 papers) and Advanced Mathematical Modeling in Engineering (12 papers). Jacques Liandrat collaborates with scholars based in France, Spain and China. Jacques Liandrat's co-authors include Sergio Amat, Ph. Tchamitchian, Guillaume Chiavassa, Jean Baccou, Rosa Donat, Juan Ruiz, Fabien Anselmet, L. Fulachier, L. Djenidi and J. Cousteix and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Mathematics of Computation.

In The Last Decade

Jacques Liandrat

48 papers receiving 537 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacques Liandrat France 13 353 217 106 77 74 49 565
Leland Jameson United States 14 276 0.8× 222 1.0× 16 0.2× 58 0.8× 41 0.6× 20 602
Fermín S. V. Bazán Brazil 14 155 0.4× 80 0.4× 72 0.7× 46 0.6× 83 1.1× 66 554
Shuai Lu China 15 153 0.4× 102 0.5× 43 0.4× 46 0.6× 110 1.5× 58 705
Terry J. Ligocki United States 13 306 0.9× 52 0.2× 49 0.5× 15 0.2× 47 0.6× 28 641
Oleg Davydov Germany 14 490 1.4× 79 0.4× 37 0.3× 101 1.3× 96 1.3× 63 691
Will Light United Kingdom 11 283 0.8× 86 0.4× 21 0.2× 79 1.0× 72 1.0× 21 703
Mark A. Lukas Australia 10 126 0.4× 54 0.2× 35 0.3× 28 0.4× 40 0.5× 25 533
D. J. Benson United States 10 351 1.0× 85 0.4× 37 0.3× 27 0.4× 100 1.4× 12 843
Sônia M. Gomes Brazil 14 438 1.2× 56 0.3× 28 0.3× 79 1.0× 183 2.5× 63 659
Roland Masson France 20 687 1.9× 74 0.3× 255 2.4× 89 1.2× 306 4.1× 83 1.1k

Countries citing papers authored by Jacques Liandrat

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Liandrat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacques Liandrat

This figure shows the co-authorship network connecting the top 25 collaborators of Jacques Liandrat. A scholar is included among the top collaborators of Jacques Liandrat 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 Jacques Liandrat. Jacques Liandrat 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.
Baccou, Jean, et al.. (2021). On the construction of multiresolution analyses associated to general subdivision schemes. Mathematics of Computation. 90(331). 2185–2208. 1 indexed citations
2.
Baccou, Jean, et al.. (2018). Construction of finite-dimensional multiresolutions based on linear subdivision schemes: Application to the 4-point shifted Lagrange scheme. Journal of Computational and Applied Mathematics. 349. 494–507.
3.
Amat, Sergio, et al.. (2013). High order nonlinear interpolatory reconstruction operators and associated multiresolution schemes. Journal of Computational and Applied Mathematics. 253. 163–180. 11 indexed citations
4.
Yin, Ping, et al.. (2013). A multiresolution and smooth fictitious domain method for one-dimensional elliptical and Stefan problems. Mathematical and Computer Modelling. 58(11-12). 1727–1737. 1 indexed citations
5.
Amat, Sergio & Jacques Liandrat. (2013). On a nonlinear 4-point quaternary approximating subdivision scheme eliminating the Gibbs phenomenon. SeMA Journal. 62(1). 15–25. 5 indexed citations
6.
Baccou, Jean & Jacques Liandrat. (2012). Kriging-based interpolatory subdivision schemes. Applied and Computational Harmonic Analysis. 35(2). 228–250. 2 indexed citations
7.
Amat, Sergio, et al.. (2010). On a nonlinear subdivision scheme avoiding Gibbs oscillations and converging towards $C^{s}$ functions with $s>1$. Mathematics of Computation. 80(274). 959–959. 14 indexed citations
8.
Amat, Sergio, et al.. (2009). On a class of L1-stable nonlinear cell-average multiresolution schemes. Journal of Computational and Applied Mathematics. 234(4). 1129–1139. 9 indexed citations
9.
Amat, Sergio, et al.. (2009). A family of stable nonlinear nonseparable multiresolution schemes in 2D. Journal of Computational and Applied Mathematics. 234(4). 1277–1290. 6 indexed citations
10.
Aràndiga, Francesc, et al.. (2007). Image compression based on a multi-directional map-dependent algorithm. Applied and Computational Harmonic Analysis. 23(2). 181–197. 10 indexed citations
11.
Amat, Sergio, et al.. (2007). A fully adaptive multiresolution scheme for image processing. Mathematical and Computer Modelling. 46(1-2). 2–11. 12 indexed citations
12.
Amat, Sergio, et al.. (2006). Error bounds for a convexity-preserving interpolation and its limit function. Journal of Computational and Applied Mathematics. 211(1). 36–44. 3 indexed citations
13.
Baccou, Jean & Jacques Liandrat. (2006). DEFINITION AND ANALYSIS OF A WAVELET/FICTITIOUS DOMAIN SOLVER FOR THE 2D-HEAT EQUATION ON A GENERAL DOMAIN. Mathematical Models and Methods in Applied Sciences. 16(6). 819–845. 10 indexed citations
14.
Baccou, Jean & Jacques Liandrat. (2005). On coupling wavelets with fictitious domain approaches. Applied Mathematics Letters. 18(12). 1325–1331. 4 indexed citations
15.
Liandrat, Jacques, et al.. (2005). A new wavelet preconditioner for finite difference operators. Advances in Computational Mathematics. 22(2). 125–163. 1 indexed citations
16.
Amat, Sergio & Jacques Liandrat. (2005). On the stability of the PPH nonlinear multiresolution. Applied and Computational Harmonic Analysis. 18(2). 198–206. 49 indexed citations
17.
Chiavassa, Guillaume & Jacques Liandrat. (1997). On the Effective Construction of Compactly Supported Wavelets Satisfying Homogeneous Boundary Conditions on the Interval. Applied and Computational Harmonic Analysis. 4(1). 62–73. 14 indexed citations
18.
Bertelrud, Arild, et al.. (1992). Development of wavelet analysis tools for turbulence. Defense Technical Information Center (DTIC). 1 indexed citations
19.
Liandrat, Jacques, et al.. (1990). The wavelet transform - Some applications to fluid dynamics and turbulence. European Journal of Mechanics - B/Fluids. 9(1). 1–19. 56 indexed citations
20.
Aupoix, B., J. Cousteix, & Jacques Liandrat. (1983). Effects of rotation on isotropic turbulence. 11 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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