R. S. Thorne

35.7k total citations · 3 hit papers
93 papers, 5.4k citations indexed

About

R. S. Thorne is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, R. S. Thorne has authored 93 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Nuclear and High Energy Physics, 5 papers in Computer Networks and Communications and 5 papers in Artificial Intelligence. Recurrent topics in R. S. Thorne's work include Particle physics theoretical and experimental studies (84 papers), High-Energy Particle Collisions Research (76 papers) and Quantum Chromodynamics and Particle Interactions (65 papers). R. S. Thorne is often cited by papers focused on Particle physics theoretical and experimental studies (84 papers), High-Energy Particle Collisions Research (76 papers) and Quantum Chromodynamics and Particle Interactions (65 papers). R. S. Thorne collaborates with scholars based in United Kingdom, Switzerland and Germany. R. S. Thorne's co-authors include A. D. Martin, W. J. Stirling, G. Watt, Richard G. Roberts, W.J. Stirling, A. D. Martin, L. A. Harland-Lang, Thomas Cridge, S. Bailey and A. De Roeck and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nuclear Physics B and Physics Letters B.

In The Last Decade

R. S. Thorne

86 papers receiving 5.3k citations

Hit Papers

Parton distributions for the LHC 2009 2026 2014 2020 2009 2016 2021 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. S. Thorne United Kingdom 31 5.3k 357 74 74 70 93 5.4k
J. Huston United States 24 4.9k 0.9× 284 0.8× 77 1.0× 86 1.2× 70 1.0× 64 5.0k
Paolo Nason Italy 44 7.7k 1.4× 410 1.1× 133 1.8× 141 1.9× 90 1.3× 106 7.8k
W. J. Stirling United Kingdom 29 4.6k 0.9× 334 0.9× 72 1.0× 75 1.0× 39 0.6× 101 4.7k
W.J. Stirling United Kingdom 39 5.1k 0.9× 373 1.0× 112 1.5× 90 1.2× 39 0.6× 115 5.1k
Giulia Zanderighi Germany 33 2.9k 0.5× 282 0.8× 104 1.4× 94 1.3× 77 1.1× 79 3.0k
Michael H. Seymour United Kingdom 20 3.8k 0.7× 323 0.9× 152 2.1× 72 1.0× 102 1.5× 52 3.8k
Carl R. Schmidt United States 26 2.7k 0.5× 174 0.5× 47 0.6× 70 0.9× 40 0.6× 48 2.7k
Alexander Mitov Germany 32 3.3k 0.6× 324 0.9× 67 0.9× 65 0.9× 46 0.7× 66 3.4k
Thomas Becher Switzerland 32 4.1k 0.8× 287 0.8× 70 0.9× 56 0.8× 48 0.7× 67 4.2k
Alberto Guffanti United Kingdom 22 3.6k 0.7× 368 1.0× 136 1.8× 68 0.9× 90 1.3× 43 3.7k

Countries citing papers authored by R. S. Thorne

Since Specialization
Citations

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

Fields of papers citing papers by R. S. Thorne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. S. Thorne. 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 R. S. Thorne. The network helps show where R. S. Thorne may publish in the future.

Co-authorship network of co-authors of R. S. Thorne

This figure shows the co-authorship network connecting the top 25 collaborators of R. S. Thorne. A scholar is included among the top collaborators of R. S. Thorne 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 R. S. Thorne. R. S. Thorne 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.
Harland-Lang, L. A., Thomas Cridge, & R. S. Thorne. (2025). A stress test of global PDF fits: closure testing the MSHT PDFs and a first direct comparison to the neural net approach. The European Physical Journal C. 85(3). 316–316. 5 indexed citations
2.
Armesto, N., Thomas Cridge, F. Giuli, et al.. (2024). Impact of inclusive electron ion collider data on collinear parton distributions. Physical review. D. 109(5). 5 indexed citations
3.
Cridge, Thomas, L. A. Harland-Lang, & R. S. Thorne. (2024). Combining QED and approximate ${\rm N}^3$LO QCD corrections in a global PDF fit: MSHT20qed_an3lo PDFs. SciPost Physics. 17(1). 5 indexed citations
4.
Jing, Xiaoxian, A. M. Cooper-Sarkar, Aurore Courtoy, et al.. (2023). Quantifying the interplay of experimental constraints in analyses of parton distributions. Physical review. D. 108(3). 16 indexed citations
6.
Cridge, Thomas, et al.. (2023). Approximate N$$^{3}$$LO parton distribution functions with theoretical uncertainties: MSHT20aN$$^3$$LO PDFs. The European Physical Journal C. 83(3). 56 indexed citations
7.
Bailey, S., Thomas Cridge, L. A. Harland-Lang, A. D. Martin, & R. S. Thorne. (2021). Parton distributions from LHC, HERA, Tevatron and fixed target data: MSHT20 PDFs. The European Physical Journal C. 81(4). 230 indexed citations breakdown →
8.
Harland-Lang, L. A., A. D. Martin, & R. S. Thorne. (2018). The impact of LHC jet data on the MMHT PDF fit at NNLO. The European Physical Journal C. 78(3). 248–248. 30 indexed citations
9.
Motylinski, Patrick, L. A. Harland-Lang, A. D. Martin, & R. S. Thorne. (2016). Updates of PDFs for the 2nd LHC run. Nuclear and Particle Physics Proceedings. 273-275. 2136–2141. 1 indexed citations
10.
Harland-Lang, L. A., A. D. Martin, Patrick Motylinski, & R. S. Thorne. (2015). Uncertainties on $$\alpha _S$$ α S in the MMHT2014 global PDF analysis and implications for SM predictions. The European Physical Journal C. 75(9). 435–435. 26 indexed citations
11.
Thorne, R. S.. (2014). The effect on PDFs and $$\alpha _S(M_Z^2)$$ α S ( M Z 2 ) due to changes in flavour scheme and higher twist contributions. The European Physical Journal C. 74(7). 2958–2958. 19 indexed citations
12.
Thorne, R. S.. (2012). The Effect of Changes of Variable Flavour Number Scheme on PDFs and Predicted Cross Sections. arXiv (Cornell University). 6 indexed citations
13.
Watt, G. & R. S. Thorne. (2012). Study of Monte Carlo approach to experimental uncertainty propagation with MSTW 2008 PDFs. 44 indexed citations
14.
Martin, A. D., W.J. Stirling, R. S. Thorne, & G. Watt. (2009). Uncertainties on α S in global PDF analyses and implications for predicted hadronic cross sections. The European Physical Journal C. 64(4). 653–680. 170 indexed citations
15.
Thorne, R. S. & W. K. Tung. (2008). PQCD Formulations with Heavy Quark Masses and Global Analysis. UCL Discovery (University College London). 332–351. 1 indexed citations
16.
Kalinin, Yevgeniy V., Viatcheslav Berejnov, & R. S. Thorne. (2006). Contact Line Pinning by Microfabricated Patterns. Bulletin of the American Physical Society. 1 indexed citations
17.
Thorne, R. S.. (2005). Importance of a Measurement of F_L(x,Q^2) at HERA. Apollo (University of Cambridge). 359–369. 1 indexed citations
18.
Martin, A. D., Richard G. Roberts, W.J. Stirling, & R. S. Thorne. (2004). Parton distributions incorporating QED contributions. 152 indexed citations
19.
Martin, A. D., Richard G. Roberts, W.J. Stirling, & R. S. Thorne. (2002). NNLO global parton analysis. Durham Research Online (Durham University). 172 indexed citations
20.
Thorne, R. S. & Richard Roberts. (2000). A Variable Number Flavour Scheme for Charged Current Heavy Flavour Structure Functions. arXiv (Cornell University). 1 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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