Ramon Winterhalder

594 total citations
11 papers, 233 citations indexed

About

Ramon Winterhalder is a scholar working on Nuclear and High Energy Physics, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Ramon Winterhalder has authored 11 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Nuclear and High Energy Physics, 3 papers in Statistical and Nonlinear Physics and 1 paper in Computer Networks and Communications. Recurrent topics in Ramon Winterhalder's work include Particle physics theoretical and experimental studies (7 papers), High-Energy Particle Collisions Research (6 papers) and Particle Detector Development and Performance (3 papers). Ramon Winterhalder is often cited by papers focused on Particle physics theoretical and experimental studies (7 papers), High-Energy Particle Collisions Research (6 papers) and Particle Detector Development and Performance (3 papers). Ramon Winterhalder collaborates with scholars based in Germany, Belgium and Italy. Ramon Winterhalder's co-authors include Tilman Plehn, Anja Butter, Theo Heimel, Olivier Mattelaer, Benjamin Nachman, Joshua Isaacson, Vitaly Magerya, Claudius Krause, Matthias Kerner and Gudrun Heinrich and has published in prestigious journals such as Journal of High Energy Physics, The European Physical Journal C and SciPost Physics.

In The Last Decade

Ramon Winterhalder

10 papers receiving 233 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramon Winterhalder Germany 7 185 73 19 18 17 11 233
Theo Heimel Germany 8 152 0.8× 58 0.8× 12 0.6× 13 0.7× 16 0.9× 9 192
S.‐C. Hsu United States 7 167 0.9× 64 0.9× 12 0.6× 18 1.0× 11 0.6× 33 229
H. Qu China 6 273 1.5× 108 1.5× 24 1.3× 13 0.7× 20 1.2× 15 348
Joshua Isaacson United States 12 438 2.4× 116 1.6× 36 1.9× 21 1.2× 17 1.0× 32 515
Sascha Diefenbacher Germany 10 252 1.4× 90 1.2× 10 0.5× 22 1.2× 28 1.6× 16 320
V. M. Mikuni United States 13 325 1.8× 166 2.3× 19 1.0× 12 0.7× 28 1.6× 27 420
Philip Harris United States 9 226 1.2× 106 1.5× 15 0.8× 39 2.2× 7 0.4× 21 357
Christina Gao United States 8 230 1.2× 71 1.0× 16 0.8× 62 3.4× 11 0.6× 16 295
Engin Eren Germany 7 210 1.1× 80 1.1× 7 0.4× 8 0.4× 25 1.5× 11 266
T. Golling Switzerland 13 336 1.8× 90 1.2× 12 0.6× 58 3.2× 9 0.5× 34 388

Countries citing papers authored by Ramon Winterhalder

Since Specialization
Citations

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

Fields of papers citing papers by Ramon Winterhalder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramon Winterhalder

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

All Works

11 of 11 papers shown
1.
Krause, Claudius, et al.. (2026). BitHEP — The limits of low-precision ML in HEP. SciPost Physics. 20(2).
2.
Heimel, Theo, et al.. (2025). Differentiable MadNIS-Lite. SciPost Physics. 18(1). 5 indexed citations
3.
Bahl, Henning, et al.. (2025). Accurate surrogate amplitudes with calibrated uncertainties. SciPost Physics Core. 8(4). 3 indexed citations
4.
Heimel, Theo, et al.. (2024). The MadNIS reloaded. SciPost Physics. 17(1). 17 indexed citations
5.
Heimel, Theo, et al.. (2024). Precision-machine learning for the matrix element method. SciPost Physics. 17(5). 15 indexed citations
6.
Nachman, Benjamin & Ramon Winterhalder. (2023). Elsa: enhanced latent spaces for improved collider simulations. The European Physical Journal C. 83(9). 14 indexed citations
7.
Heimel, Theo, Ramon Winterhalder, Anja Butter, et al.. (2023). MadNIS - Neural multi-channel importance sampling. SciPost Physics. 15(4). 30 indexed citations
8.
Dittmaier, Stefan, Philipp Maierhöfer, Christopher Schwan, & Ramon Winterhalder. (2023). Like-sign W-boson scattering at the LHC — approximations and full next-to-leading-order predictions. Journal of High Energy Physics. 2023(11). 4 indexed citations
9.
Winterhalder, Ramon, Vitaly Magerya, Stephen Jones, et al.. (2022). Targeting multi-loop integrals with neural networks. SciPost Physics. 12(4). 29 indexed citations
10.
Arratia, M., Anja Butter, M. Campanelli, et al.. (2022). Publishing unbinned differential cross section results. Journal of Instrumentation. 17(1). P01024–P01024. 26 indexed citations
11.
Butter, Anja, Tilman Plehn, & Ramon Winterhalder. (2019). How to GAN LHC events. SciPost Physics. 7(6). 90 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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