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.
Parton distributions for the LHC
20091.7k citationsA. D. Martin, R. S. Thorne et al.The European Physical Journal Cprofile →
PDF4LHC recommendations for LHC Run II
2016354 citationsA. M. Cooper-Sarkar, J. Huston et al.profile →
Parton distributions from LHC, HERA, Tevatron and fixed target data: MSHT20 PDFs
2021230 citationsS. Bailey, Thomas Cridge et al.The European Physical Journal Cprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
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).
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.
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 →
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
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
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
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.