Christopher Schwan

968 total citations · 1 hit paper
21 papers, 477 citations indexed

About

Christopher Schwan is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Mathematical Physics. According to data from OpenAlex, Christopher Schwan has authored 21 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Nuclear and High Energy Physics, 2 papers in Computer Networks and Communications and 1 paper in Mathematical Physics. Recurrent topics in Christopher Schwan's work include Particle physics theoretical and experimental studies (19 papers), Quantum Chromodynamics and Particle Interactions (16 papers) and High-Energy Particle Collisions Research (14 papers). Christopher Schwan is often cited by papers focused on Particle physics theoretical and experimental studies (19 papers), Quantum Chromodynamics and Particle Interactions (16 papers) and High-Energy Particle Collisions Research (14 papers). Christopher Schwan collaborates with scholars based in Germany, Italy and United Kingdom. Christopher Schwan's co-authors include Juan Rojo, Emanuele R. Nocera, Juan Cruz–Martinez, Stefano Forte, Richard D. Ball, Roy Stegeman, Stefano Carrazza, Luigi Del Debbio, Zahari Kassabov and Maria Ubiali and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Physics Letters B.

In The Last Decade

Christopher Schwan

21 papers receiving 474 citations

Hit Papers

The path to proton structure at 1% accuracy 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Schwan Germany 11 438 22 22 20 15 21 477
Giacomo Magni Netherlands 10 358 0.8× 23 1.0× 30 1.4× 15 0.8× 14 0.9× 15 407
Roy Stegeman Italy 8 352 0.8× 19 0.9× 16 0.7× 20 1.0× 15 1.0× 14 397
Cameron Voisey United Kingdom 8 422 1.0× 15 0.7× 17 0.8× 28 1.4× 12 0.8× 9 457
Rosalyn L. Pearson United Kingdom 6 360 0.8× 14 0.6× 12 0.5× 25 1.3× 16 1.1× 9 401
Emma Slade United Kingdom 4 815 1.9× 17 0.8× 51 2.3× 26 1.3× 18 1.2× 5 832
Shayan Iranipour Netherlands 4 354 0.8× 13 0.6× 16 0.7× 26 1.3× 10 0.7× 4 383
L. A. Harland-Lang United Kingdom 14 675 1.5× 15 0.7× 60 2.7× 18 0.9× 17 1.1× 40 701
Keping Xie United States 11 708 1.6× 16 0.7× 48 2.2× 31 1.6× 8 0.5× 39 744
Ibrahim Sitiwaldi China 7 414 0.9× 12 0.5× 12 0.5× 17 0.8× 31 2.1× 17 441
Andrzej Siódmok Poland 14 576 1.3× 27 1.2× 47 2.1× 45 2.3× 19 1.3× 42 618

Countries citing papers authored by Christopher Schwan

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Schwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Schwan

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Schwan. A scholar is included among the top collaborators of Christopher Schwan 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 Christopher Schwan. Christopher Schwan 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.
Cruz–Martinez, Juan, Alexander Huss, & Christopher Schwan. (2025). Fast interpolation grids for the Drell–Yan process. The European Physical Journal C. 85(4). 2 indexed citations
2.
Ball, Richard D., Alessandro Candido, Stefano Carrazza, et al.. (2024). Photons in the proton: implications for the LHC. The European Physical Journal C. 84(5). 13 indexed citations
3.
Denner, Ansgar, et al.. (2024). Double-pole approximation for leading-order semi-leptonic vector-boson scattering at the LHC. Journal of High Energy Physics. 2024(8). 3 indexed citations
4.
Ball, Richard D., Alessandro Candido, Stefano Carrazza, et al.. (2024). The path to $$\hbox {N}^3\hbox {LO}$$ parton distributions. The European Physical Journal C. 84(7). 18 indexed citations
5.
Ball, Richard D., Alessandro Candido, Stefano Carrazza, et al.. (2024). Determination of the theory uncertainties from missing higher orders on NNLO parton distributions with percent accuracy. The European Physical Journal C. 84(5). 18 indexed citations
6.
Candido, Alessandro, et al.. (2023). Pineline: Industrialization of high-energy theory predictions. Computer Physics Communications. 297. 109061–109061. 11 indexed citations
7.
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
8.
Ball, Richard D., Stefano Carrazza, Juan Cruz–Martinez, et al.. (2022). The path to proton structure at 1% accuracy. The European Physical Journal C. 82(5). 233 indexed citations breakdown →
9.
Ball, Richard D., Alessandro Candido, Stefano Forte, et al.. (2022). Parton distributions and new physics searches: the Drell–Yan forward–backward asymmetry as a case study. The European Physical Journal C. 82(12). 19 indexed citations
10.
Denner, Ansgar, et al.. (2022). NLO QCD and EW corrections to vector-boson scattering into W+W− at the LHC. Journal of High Energy Physics. 2022(6). 8 indexed citations
11.
Denner, Ansgar, Giovanni Pelliccioli, & Christopher Schwan. (2022). NLO QCD and EW corrections to off-shell tZj production at the LHC. Journal of High Energy Physics. 2022(10). 3 indexed citations
12.
Schwan, Christopher. (2022). PineAPPL: NLO EW corrections for PDF processes. SHILAP Revista de lepidopterología. 1 indexed citations
13.
Ball, Richard D., Stefano Carrazza, Juan Cruz–Martinez, et al.. (2021). An open-source machine learning framework for global analyses of parton distributions. The European Physical Journal C. 81(10). 50 indexed citations
14.
Denner, Ansgar, S. Dittmaier, Philipp Maierhöfer, Mathieu Pellen, & Christopher Schwan. (2019). QCD and electroweak corrections to WZ scattering at the LHC. Apollo (University of Cambridge). 28 indexed citations
15.
Schwan, Christopher. (2018). Vector-boson scattering at the LHC. 81–81. 4 indexed citations
16.
Weinzierl, Stefan, et al.. (2014). NLO corrections to Z production in association with several jets. Lund University Publications (Lund University). 9–9. 1 indexed citations
17.
Reuschle, Christian, et al.. (2013). Numerical evaluation of NLO multiparton processes. Lund University Publications (Lund University). 39–39. 1 indexed citations
18.
Becker, S., et al.. (2013). Multiparton NLO corrections by numerical methods. Lund University Publications (Lund University). 8–8. 1 indexed citations
19.
Becker, S., et al.. (2012). Next-to-Leading-Order Results for Five, Six, and Seven Jets in Electron-Positron Annihilation. Physical Review Letters. 108(3). 32005–32005. 35 indexed citations
20.
Schwan, Christopher, et al.. (2012). Random polarizations of the dipoles. Physical review. D. Particles, fields, gravitation, and cosmology. 85(11). 11 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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