Felix Wilsch

526 total citations · 1 hit paper
9 papers, 345 citations indexed

About

Felix Wilsch is a scholar working on Nuclear and High Energy Physics, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Felix Wilsch has authored 9 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Nuclear and High Energy Physics, 1 paper in Statistical and Nonlinear Physics and 1 paper in Artificial Intelligence. Recurrent topics in Felix Wilsch's work include Particle physics theoretical and experimental studies (9 papers), Quantum Chromodynamics and Particle Interactions (7 papers) and High-Energy Particle Collisions Research (4 papers). Felix Wilsch is often cited by papers focused on Particle physics theoretical and experimental studies (9 papers), Quantum Chromodynamics and Particle Interactions (7 papers) and High-Energy Particle Collisions Research (4 papers). Felix Wilsch collaborates with scholars based in Switzerland, Germany and France. Felix Wilsch's co-authors include Gino Isidori, Darius A. Faroughy, Julie Pagès, D. Wyler, Anders Eller Thomsen, Javier Fuentes-Martín, Matthias König, Lukas Allwicher, Olcyr Sumensari and Kei Yamamoto and has published in prestigious journals such as Reviews of Modern Physics, Computer Physics Communications and Journal of High Energy Physics.

In The Last Decade

Felix Wilsch

9 papers receiving 337 citations

Hit Papers

The standard model effective field theory at work 2024 2026 2025 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Felix Wilsch Switzerland 8 324 48 17 16 10 9 345
Domenico Bonocore Germany 6 234 0.7× 59 1.2× 13 0.8× 18 1.1× 10 1.0× 12 271
O. Abdinov Canada 10 305 0.9× 63 1.3× 11 0.6× 9 0.6× 11 1.1× 23 333
Go Mishima Germany 12 323 1.0× 37 0.8× 15 0.9× 17 1.1× 6 0.6× 19 331
Kemal Ozeren United States 11 484 1.5× 64 1.3× 17 1.0× 10 0.6× 7 0.7× 15 493
Alejandro Szynkman Argentina 14 554 1.7× 62 1.3× 13 0.8× 21 1.3× 11 1.1× 40 560
Manfred Kraus Germany 13 373 1.2× 115 2.4× 13 0.8× 25 1.6× 12 1.2× 30 425
Maeve Madigan United Kingdom 9 381 1.2× 59 1.2× 16 0.9× 11 0.7× 5 0.5× 15 401
Grigorios Chachamis Spain 17 558 1.7× 46 1.0× 17 1.0× 13 0.8× 16 1.6× 46 601
Gauthier Durieux United States 13 561 1.7× 98 2.0× 31 1.8× 10 0.6× 12 1.2× 22 573
Zhe Ren China 8 315 1.0× 52 1.1× 17 1.0× 7 0.4× 23 2.3× 11 335

Countries citing papers authored by Felix Wilsch

Since Specialization
Citations

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

Fields of papers citing papers by Felix Wilsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felix Wilsch

This figure shows the co-authorship network connecting the top 25 collaborators of Felix Wilsch. A scholar is included among the top collaborators of Felix Wilsch 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 Felix Wilsch. Felix Wilsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Allwicher, Lukas, et al.. (2025). On the EFT validity for Drell–Yan tails at the LHC. The European Physical Journal C. 85(4). 1 indexed citations
2.
Isidori, Gino, Felix Wilsch, & D. Wyler. (2024). The standard model effective field theory at work. Reviews of Modern Physics. 96(1). 62 indexed citations breakdown →
3.
Fuentes-Martín, Javier, Matthias König, Julie Pagès, Anders Eller Thomsen, & Felix Wilsch. (2023). Evanescent operators in one-loop matching computations. Journal of High Energy Physics. 2023(2). 35 indexed citations
4.
Fuentes-Martín, Javier, Matthias König, Julie Pagès, Anders Eller Thomsen, & Felix Wilsch. (2023). A proof of concept for matchete: an automated tool for matching effective theories. The European Physical Journal C. 83(7). 662–662. 67 indexed citations
5.
Allwicher, Lukas, et al.. (2023). Drell-Yan tails beyond the Standard Model. Journal of High Energy Physics. 2023(3). 51 indexed citations
6.
Aebischer, Jason, et al.. (2023). Confronting the vector leptoquark hypothesis with new low- and high-energy data. The European Physical Journal C. 83(2). 153–153. 19 indexed citations
7.
Allwicher, Lukas, et al.. (2023). HighPT: A tool for high-p Drell-Yan tails beyond the standard model. Computer Physics Communications. 289. 108749–108749. 42 indexed citations
8.
Isidori, Gino, Julie Pagès, & Felix Wilsch. (2022). Flavour alignment of New Physics in light of the (g − 2)μ anomaly. Journal of High Energy Physics. 2022(3). 13 indexed citations
9.
Faroughy, Darius A., Gino Isidori, Felix Wilsch, & Kei Yamamoto. (2020). Flavour symmetries in the SMEFT. Journal of High Energy Physics. 2020(8). 55 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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