Roy Stegeman

782 total citations · 1 hit paper
14 papers, 397 citations indexed

About

Roy Stegeman is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Astronomy and Astrophysics. According to data from OpenAlex, Roy Stegeman has authored 14 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Nuclear and High Energy Physics, 2 papers in Computer Networks and Communications and 1 paper in Astronomy and Astrophysics. Recurrent topics in Roy Stegeman's work include Particle physics theoretical and experimental studies (12 papers), Quantum Chromodynamics and Particle Interactions (10 papers) and High-Energy Particle Collisions Research (9 papers). Roy Stegeman is often cited by papers focused on Particle physics theoretical and experimental studies (12 papers), Quantum Chromodynamics and Particle Interactions (10 papers) and High-Energy Particle Collisions Research (9 papers). Roy Stegeman collaborates with scholars based in Italy, United Kingdom and Netherlands. Roy Stegeman's co-authors include Juan Rojo, Juan Cruz–Martinez, Emanuele R. Nocera, Richard D. Ball, Stefano Carrazza, Stefano Forte, T. Giani, Christopher Schwan, Maria Ubiali and Luigi Del Debbio and has published in prestigious journals such as Journal of High Energy Physics, Physical review. D and The European Physical Journal C.

In The Last Decade

Roy Stegeman

14 papers receiving 395 citations

Hit Papers

The path to proton structure at 1% accuracy 2022 2026 2023 2024 2022 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The path to proton structure at 1% accuracy
    2022 233 citations Richard D. Ball, Stefano Carrazza et al. The European Physical Journal C profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roy Stegeman Italy 8 352 20 19 16 15 14 397
Giacomo Magni Netherlands 10 358 1.0× 15 0.8× 23 1.2× 30 1.9× 14 0.9× 15 407
Christopher Schwan Germany 11 438 1.2× 20 1.0× 22 1.2× 22 1.4× 15 1.0× 21 477
Rosalyn L. Pearson United Kingdom 6 360 1.0× 25 1.3× 14 0.7× 12 0.8× 16 1.1× 9 401
Alessandro Candido Italy 10 206 0.6× 16 0.8× 20 1.1× 14 0.9× 12 0.8× 18 258
Cameron Voisey United Kingdom 8 422 1.2× 28 1.4× 15 0.8× 17 1.1× 12 0.8× 9 457
Shayan Iranipour Netherlands 4 354 1.0× 26 1.3× 13 0.7× 16 1.0× 10 0.7× 4 383
Felix Hekhorn Italy 9 201 0.6× 8 0.4× 21 1.1× 15 0.9× 10 0.7× 17 245
Emma Slade United Kingdom 4 815 2.3× 26 1.3× 17 0.9× 51 3.2× 18 1.2× 5 832
Ibrahim Sitiwaldi China 7 414 1.2× 17 0.8× 12 0.6× 12 0.8× 31 2.1× 17 441
M. Arratia United States 9 177 0.5× 19 0.9× 7 0.4× 8 0.5× 5 0.3× 24 207

Countries citing papers authored by Roy Stegeman

Since Specialization
Citations

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

Fields of papers citing papers by Roy Stegeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roy Stegeman

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

All Works

14 of 14 papers shown
1.
Cruz–Martinez, Juan, Emanuele R. Nocera, Tanjona R. Rabemananjara, et al.. (2025). Parton distributions confront LHC Run II data: a quantitative appraisal. Journal of High Energy Physics. 2025(7). 1 indexed citations
2.
Ball, Richard D., Juan Cruz–Martinez, Stefano Forte, et al.. (2025). A determination of $$\alpha _s(m_Z)$$ at $${{\textrm{aN}}}^3{{\textrm{LO}}}_{{\textrm{QCD}}}\otimes {{\textrm{NLO}}}_{{\textrm{QED}}}$$ accuracy from a global PDF analysis. The European Physical Journal C. 85(9). 1001–1001. 1 indexed citations
3.
Cruz–Martinez, Juan, Jack Jansen, Tanjona R. Rabemananjara, et al.. (2025). Hyperparameter optimisation in deep learning from ensemble methods: applications to proton structure. Machine Learning Science and Technology. 6(2). 25027–25027. 2 indexed citations
4.
Ball, Richard D., Alessandro Candido, Juan Cruz–Martinez, et al.. (2024). Intrinsic charm quark valence distribution of the proton. Physical review. D. 109(9). 20 indexed citations
5.
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
6.
Hekhorn, Felix, Giacomo Magni, Emanuele R. Nocera, et al.. (2024). Heavy quarks in polarised deep-inelastic scattering at the electron-ion collider. The European Physical Journal C. 84(2). 5 indexed citations
7.
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
8.
Candido, Alessandro, et al.. (2024). An FONLL prescription with coexisting flavor number PDFs. Journal of High Energy Physics. 2024(10). 7 indexed citations
9.
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
10.
Candido, Alessandro, Alfonso Garcia, Giacomo Magni, et al.. (2023). Neutrino structure functions from GeV to EeV energies. Journal of High Energy Physics. 2023(5). 24 indexed citations
11.
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 →
12.
Carrazza, Stefano, Juan Cruz–Martinez, & Roy Stegeman. (2022). A data-based parametrization of parton distribution functions. The European Physical Journal C. 82(2). 4 indexed citations
13.
Stegeman, Roy. (2022). The negligible impact of experimental inconsistencies in the NNPDF4.0 global dataset. Proceedings of 41st International Conference on High Energy physics — PoS(ICHEP2022). 787–787. 1 indexed citations
14.
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

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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