Stefan Höche

12.2k total citations · 1 hit paper
78 papers, 3.5k citations indexed

About

Stefan Höche is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Stefan Höche has authored 78 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Nuclear and High Energy Physics, 7 papers in Computer Networks and Communications and 4 papers in Artificial Intelligence. Recurrent topics in Stefan Höche's work include Particle physics theoretical and experimental studies (77 papers), High-Energy Particle Collisions Research (62 papers) and Quantum Chromodynamics and Particle Interactions (51 papers). Stefan Höche is often cited by papers focused on Particle physics theoretical and experimental studies (77 papers), High-Energy Particle Collisions Research (62 papers) and Quantum Chromodynamics and Particle Interactions (51 papers). Stefan Höche collaborates with scholars based in United States, Germany and United Kingdom. Stefan Höche's co-authors include Frank Krauss, F. Siegert, Marek Schönherr, T. Gleisberg, S. Schumann, Stefan Prestel, Jan Winter, Ye Li, Fabio Maltoni and F. Febres Cordero and has published in prestigious journals such as Physical Review Letters, Physics Letters B and Computer Physics Communications.

In The Last Decade

Stefan Höche

75 papers receiving 3.4k citations

Hit Papers

Event generation with SHERPA 1.1 2009 2026 2014 2020 2009 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Höche United States 31 3.4k 328 172 170 82 78 3.5k
Stefan Prestel United States 17 3.2k 0.9× 427 1.3× 275 1.6× 96 0.6× 75 0.9× 26 3.3k
Marek Schönherr United Kingdom 23 2.8k 0.8× 197 0.6× 147 0.9× 95 0.6× 75 0.9× 48 2.9k
Maria Ubiali United Kingdom 28 3.7k 1.1× 254 0.8× 150 0.9× 103 0.6× 76 0.9× 59 3.8k
Michael H. Seymour United Kingdom 20 3.8k 1.1× 323 1.0× 152 0.9× 102 0.6× 72 0.9× 52 3.8k
Valerio Bertone United Kingdom 27 3.7k 1.1× 271 0.8× 142 0.8× 89 0.5× 62 0.8× 53 3.8k
Gavin P. Salam France 37 5.4k 1.6× 425 1.3× 259 1.5× 122 0.7× 80 1.0× 82 5.5k
Nishita Desai India 13 2.8k 0.8× 578 1.8× 222 1.3× 65 0.4× 49 0.6× 21 2.9k
Alberto Guffanti United Kingdom 22 3.6k 1.0× 368 1.1× 136 0.8× 90 0.5× 68 0.8× 43 3.7k
Paolo Torrielli Italy 18 4.4k 1.3× 799 2.4× 274 1.6× 109 0.6× 91 1.1× 35 4.5k
Hua-Sheng Shao France 21 4.8k 1.4× 797 2.4× 258 1.5× 102 0.6× 94 1.1× 65 4.9k

Countries citing papers authored by Stefan Höche

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Höche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Höche

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Höche. A scholar is included among the top collaborators of Stefan Höche 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 Stefan Höche. Stefan Höche 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.
Ferencz, L., Stefan Höche, J. Katzy, & F. Siegert. (2024). $$ t\overline{t}b\overline{b} $$ at NLO precision in a variable flavor number scheme. Journal of High Energy Physics. 2024(7). 1 indexed citations
2.
Höche, Stefan, et al.. (2024). Resolved photons in Sherpa. The European Physical Journal C. 84(2). 6 indexed citations
3.
Bothmann, Enrico, J. T. Childers, C. Gütschow, et al.. (2024). Efficient precision simulation of processes with many-jet final states at the LHC. Physical review. D. 109(1). 6 indexed citations
4.
Bothmann, Enrico, et al.. (2024). A portable parton-level event generator for the high-luminosity LHC. SciPost Physics. 17(3). 7 indexed citations
5.
Herren, Florian, Stefan Höche, Frank Krauss, Daniel Reichelt, & Marek Schönherr. (2023). A new approach to color-coherent parton evolution. Journal of High Energy Physics. 2023(10). 29 indexed citations
6.
Isaacson, Joshua, et al.. (2023). Tau polarization and correlated decays in neutrino experiments. Physical review. D. 108(9). 5 indexed citations
7.
Bothmann, Enrico, J. T. Childers, Walter T. Giele, et al.. (2023). Efficient phase-space generation for hadron collider event simulation. SciPost Physics. 15(4). 14 indexed citations
8.
Bothmann, Enrico, A. G. Buckley, C. Gütschow, et al.. (2022). Accelerating $\mathrm{LHC}$ event generation with simplified pilot runs and fast $\mathrm{PDF}$s. arXiv (Cornell University). 11 indexed citations
9.
Bothmann, Enrico, et al.. (2022). Many-gluon tree amplitudes on modern GPUs: A case study for novel event generators. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 11 indexed citations
10.
Bothmann, Enrico, et al.. (2022). Codebase release 1.0 for BlockGen. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4 indexed citations
11.
Höche, Stefan, S. Mrenna, Shay Payne, Christian T. Preuss, & Peter Skands. (2022). A Study of QCD Radiation in VBF Higgs Production with Vincia and Pythia. SciPost Physics. 12(1). 12 indexed citations
12.
Buckley, A. G., Xuan Chen, Juan Cruz–Martinez, et al.. (2021). A comparative study of Higgs boson production from vector-boson fusion. BOA (University of Milano-Bicocca). 21 indexed citations
13.
Bellm, Johannes, A. G. Buckley, Xuan Chen, et al.. (2020). Jet cross sections at the LHC and the quest for higher precision. The European Physical Journal C. 80(2). 93–93. 18 indexed citations
14.
Höche, Stefan, et al.. (2019). Multijet merging in a variable flavor number scheme. Physical review. D. 100(1). 12 indexed citations
15.
Höche, Stefan. (2018). Momentum conservation and unitarity in parton showers and NLL resummation. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 24 indexed citations
16.
Höche, Stefan. (2015). Introduction to Parton-Shower Event Generators. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 19 indexed citations
17.
Höche, Stefan, Frank Krauss, Philipp Maierhöfer, et al.. (2015). Next-to-leading order QCD predictions for top-quark pair production with up to two jets merged with a parton shower. Physics Letters B. 748. 74–78. 33 indexed citations
18.
Höche, Stefan, Frank Krauss, Marek Schönherr, & F. Siegert. (2013). W+n-Jet Predictions at the Large Hadron Collider at Next-To-Leading Order Matched with a Parton Shower. Physical Review Letters. 110(5). 52001–52001. 33 indexed citations
19.
Höche, Stefan, S. Schumann, & F. Siegert. (2010). Hard photon production and matrix-element parton-shower merging. Physical review. D. Particles, fields, gravitation, and cosmology. 81(3). 67 indexed citations
20.
Höche, Stefan, Tamás Horváth, & S. Wróbel. (2003). Effective Rule Induction from Molecular Structures Represented by Labeled Graphs. UEA Digital Repository (University of East Anglia).

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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