Thomas Henneron

84 papers receiving 664 citations

Peers

Thomas Henneron
Comparison fields: 5 of 45
  • Statistical and Nonlinear Physics 346
  • Electronic, Optical and Magnetic Materials 328
  • Statistics, Probability and Uncertainty 95
  • Numerical Analysis 50
  • Computational Mathematics 5
Replace D. D’Amore with:
D. D’Amore Italy
Michał Rewieński Poland
Lihong Feng Germany
F. Piriou France
Yvonnick Le Menach France
Andrew J. Meade United States
K.W. Han Taiwan
Guannan Wei Ireland
C.S. Chen United States
Jean‐Louis Coulomb France
Thomas Henneron relative to D. D’Amore Italy D. D’Amore's profile →
Citations per field
00.5×3.9×
D. D’Amore · 1×
Citations per year

Countries citing papers authored by Thomas Henneron

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Henneron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas Henneron, 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 Thomas Henneron Line = papers co-authored together Thomas Henneron links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201459
2 201529
3 201524
4 201322
5 201522
6 201722
7 201421
8 200520
9 201620
10 201918
11 201518
12 200716
13 201416
14 201915
15 201215
16 202015
17 201113
18 201013
19 201713
20 202112

About Thomas Henneron

Thomas Henneron is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Statistical and Nonlinear Physics, Mechanical Engineering and Computational Mechanics, having authored 88 papers that have together received 685 indexed citations. Recurring topics across this work include Magnetic Properties and Applications (46 papers), Model Reduction and Neural Networks (43 papers), Electromagnetic Simulation and Numerical Methods (41 papers), Probabilistic and Robust Engineering Design (16 papers), Non-Destructive Testing Techniques (12 papers), Advanced Numerical Methods in Computational Mathematics (12 papers), Electric Motor Design and Analysis (11 papers) and Numerical methods in engineering (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (346 citations), Electronic, Optical and Magnetic Materials (328 citations), Statistics, Probability and Uncertainty (95 citations), Numerical Analysis (50 citations) and Computational Mathematics (5 citations). Thomas Henneron has collaborated with scholars based in France, Belgium and Finland. Frequent co-authors include S. Clénet, F. Piriou, Abdelkader Bénabou, Floran Martin, Anouar Belahcen, Patrick Dular, J. C. Mipo, Yvonnick Le Menach, S. Brisset and Nathan Ida. Their work appears in journals such as IEEE Transactions on Magnetics, Finite Elements in Analysis and Design, Mathematics and Computers in Simulation, Journal of Computational and Applied Mathematics and Applied Sciences.

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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