Laurent Krähenbühl

2.7k total citations
88 papers, 1.9k citations indexed

About

Laurent Krähenbühl is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Laurent Krähenbühl has authored 88 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Electrical and Electronic Engineering, 31 papers in Mechanical Engineering and 21 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Laurent Krähenbühl's work include Electromagnetic Simulation and Numerical Methods (27 papers), Non-Destructive Testing Techniques (22 papers) and Magnetic Properties and Applications (19 papers). Laurent Krähenbühl is often cited by papers focused on Electromagnetic Simulation and Numerical Methods (27 papers), Non-Destructive Testing Techniques (22 papers) and Magnetic Properties and Applications (19 papers). Laurent Krähenbühl collaborates with scholars based in France, Belgium and Brazil. Laurent Krähenbühl's co-authors include Bruno Sareni, Abderrahmane Béroual, Christian Brosseau, A. Nicolas, João Vasconcelos, Patrick Dular, Ruth V. Sabariego, Riccardo Scorretti, Ricardo H. C. Takahashi and Marie‐Ange Raulet and has published in prestigious journals such as Journal of Applied Physics, Biophysical Journal and Journal of Physics D Applied Physics.

In The Last Decade

Laurent Krähenbühl

83 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laurent Krähenbühl France 20 750 421 384 340 312 88 1.9k
Chi Kin Chow Hong Kong 20 550 0.7× 210 0.5× 354 0.9× 146 0.4× 300 1.0× 57 1.6k
Piergiorgio Alotto Italy 26 2.2k 3.0× 155 0.4× 364 0.9× 553 1.6× 146 0.5× 153 3.1k
Takashi Yamamoto Japan 24 204 0.3× 535 1.3× 734 1.9× 168 0.5× 353 1.1× 126 2.4k
Hajime Igarashi Japan 26 1.7k 2.2× 327 0.8× 335 0.9× 755 2.2× 68 0.2× 282 3.0k
Paolo Di Barba Italy 24 1.1k 1.4× 458 1.1× 226 0.6× 205 0.6× 42 0.1× 249 2.2k
Michael Schneider Austria 22 801 1.1× 799 1.9× 120 0.3× 86 0.3× 356 1.1× 144 1.8k
Simin Yu China 41 894 1.2× 477 1.1× 604 1.6× 77 0.2× 943 3.0× 275 6.1k
J.K. Sykulski United Kingdom 25 1.8k 2.4× 236 0.6× 152 0.4× 402 1.2× 58 0.2× 219 2.5k
Kurt Preis Austria 27 1.9k 2.5× 241 0.6× 115 0.3× 797 2.3× 378 1.2× 152 3.0k
Mohsen Hayati Iran 28 2.2k 2.9× 418 1.0× 277 0.7× 110 0.3× 101 0.3× 203 2.8k

Countries citing papers authored by Laurent Krähenbühl

Since Specialization
Citations

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

Fields of papers citing papers by Laurent Krähenbühl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurent Krähenbühl

This figure shows the co-authorship network connecting the top 25 collaborators of Laurent Krähenbühl. A scholar is included among the top collaborators of Laurent Krähenbühl 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 Laurent Krähenbühl. Laurent Krähenbühl 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.
Krähenbühl, Laurent, et al.. (2022). Numerical Evaluation of Circuit Model for Fast Computational Analysis of Resonant Wireless Power Transfer System. IEEE Transactions on Magnetics. 59(5). 1–5.
2.
Krähenbühl, Laurent, Riccardo Scorretti, Christian Vollaire, et al.. (2020). Large Surface LC -Resonant Metamaterials: From Circuit Model to Modal Theory and Efficient Numerical Methods. IEEE Transactions on Magnetics. 56(2). 1–4. 6 indexed citations
3.
Meunier, Gérard, et al.. (2019). Unstructured–PEEC Method for Thin Electromagnetic Media. IEEE Transactions on Magnetics. 56(1). 1–5. 4 indexed citations
4.
Chadebec, Olivier, et al.. (2017). Overview on the Evolution of Near Magnetic Field Coupling Prediction Using Equivalent Multipole Spherical Harmonic Sources. IEEE Transactions on Electromagnetic Compatibility. 59(2). 584–592.
5.
Maréchal, Yves, et al.. (2017). Comparison of natural and finite element interpolation functions behavior. International Journal of Numerical Modelling Electronic Networks Devices and Fields. 31(2). 1 indexed citations
6.
Dular, Patrick, et al.. (2014). Perfect Conductor and Impedance Boundary Condition Corrections via a Finite Element Subproblem Method. IEEE Transactions on Magnetics. 50(2). 29–32. 9 indexed citations
7.
Vollaire, Christian, et al.. (2013). Conducted EMI of DC–DC Converters With Parametric Uncertainties. IEEE Transactions on Electromagnetic Compatibility. 55(4). 699–706. 16 indexed citations
8.
Dauge, Monique, et al.. (2013). Corner asymptotics of the magnetic potential in the eddy‐current model. Mathematical Methods in the Applied Sciences. 37(13). 1924–1955. 7 indexed citations
9.
Krähenbühl, Laurent, et al.. (2012). Dermatophyte identification in skin and hair samples using a simple and reliable nested polymerase chain reaction assay. British Journal of Dermatology. 168(2). 295–301. 42 indexed citations
10.
Scorretti, Riccardo, et al.. (2008). Identification of Jiles–Atherton Model Parameters Using Particle Swarm Optimization. IEEE Transactions on Magnetics. 44(6). 894–897. 84 indexed citations
11.
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13.
Vieira, D.A.G., Ricardo Adriano, João Vasconcelos, & Laurent Krähenbühl. (2004). Treating Constraints as Objectives in Multiobjective Optimization Problems Using Niched Pareto Genetic Algorithm. IEEE Transactions on Magnetics. 40(2). 1188–1191. 59 indexed citations
14.
Nicolas, A., Laurent Krähenbühl, & Bruno Sareni. (2000). Efficient genetic algorithms for solving hard constrained optimization problems. IEEE Transactions on Magnetics. 36(4). 1027–1030. 20 indexed citations
15.
Krähenbühl, Laurent, et al.. (1997). Surface impedances, BIEM and FEM coupled with 1D non-linear solutions to solve 3D high frequency eddy current problems. IEEE Transactions on Magnetics. 33(2). 1167–1172. 17 indexed citations
16.
Sareni, Bruno, et al.. (1997). A boundary integral equation method for the calculation of the effective permittivity of periodic composites. IEEE Transactions on Magnetics. 33(2). 1580–1583. 34 indexed citations
17.
Sareni, Bruno, Laurent Krähenbühl, Abderrahmane Béroual, & Christian Brosseau. (1996). Complex effective permittivity of a lossy composite material. Journal of Applied Physics. 80(8). 4560–4565. 76 indexed citations
18.
Vasconcelos, João, et al.. (1994). Design optimization in electrostatic field analysis using the BEM and the augmented Lagrangian method. IEEE Transactions on Magnetics. 30(5). 3443–3446. 4 indexed citations
19.
Krähenbühl, Laurent & A. Nicolas. (1983). Axisymmetric formulation for boundary integral equation methods in scalar potential problems. IEEE Transactions on Magnetics. 19(6). 2364–2366. 5 indexed citations
20.
Krähenbühl, Laurent & A. Nicolas. (1983). Efficient techniques for boundary integral equation methods. IEEE Transactions on Magnetics. 19(6). 2667–2669. 3 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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