Jacques Liandrat

927 citations
49 papers · 565 · h-index 13

Impact in

Papers in

Jacques Liandrat

48 papers receiving 537 citations

Peers

Jacques Liandrat
Comparison fields: 5 of 54
  • Computational Mechanics 353
  • Numerical Analysis 77
  • Computer Vision and Pattern Recognition 217
  • Modeling and Simulation 22
  • Computational Theory and Mathematics 74
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Citations per field
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Citations per year

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-authors

The 23 scholars most cited alongside Jacques Liandrat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jacques Liandrat Line = papers co-authored together Jacques Liandrat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Resolution of the 1D regularized Burgers equation using a spatial wavelet approximation
199065
2
The wavelet transform - Some applications to fluid dynamics and turbulence
199056
3 200552
4 200549
5 199429
6 201024
7 199421
8 200121
9 200416
10 199714
11 201014
12 200712
13 201812
14 201912
15
Effects of rotation on isotropic turbulence
198311
16 201311
17 200710
18 200610
19 200210
20 20099

About Jacques Liandrat

Jacques Liandrat is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Mechanical Engineering and Numerical Analysis, having authored 49 papers that have together received 565 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (25 papers), Advanced Numerical Analysis Techniques (17 papers), Advanced Mathematical Modeling in Engineering (12 papers), Advanced Numerical Methods in Computational Mathematics (11 papers), Advanced Image Processing Techniques (7 papers), Advanced machining processes and optimization (5 papers), Numerical methods in engineering (5 papers) and Tribology and Lubrication Engineering (5 papers). The work is most often cited by research in Computational Mechanics (353 citations), Numerical Analysis (77 citations), Computer Vision and Pattern Recognition (217 citations), Modeling and Simulation (22 citations) and Computational Theory and Mathematics (74 citations). Jacques Liandrat has collaborated with scholars based in France, Spain and China. Frequent co-authors include Sergio Amat, Ph. Tchamitchian, Guillaume Chiavassa, Jean Baccou, Rosa Donat, Juan Ruiz, L. Djenidi, L. Fulachier, Fabien Anselmet and B. Aupoix. Their work appears in journals such as Journal of Computational and Applied Mathematics, Advances in Computational Mathematics, Applied and Computational Harmonic Analysis, Mathematics and Computers in Simulation and Journal of Computational Physics.

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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