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 run II
2015730 citationsRichard D. Ball, Valerio Bertone et al.Journal of High Energy Physicsprofile →
Parton distributions from high-precision collider data
2017661 citationsRichard D. Ball, Valerio Bertone et al.The European Physical Journal Cprofile →
Parton distributions with LHC data
2012530 citationsRichard D. Ball, Valerio Bertone et al.profile →
PDF4LHC recommendations for LHC Run II
2016354 citationsStefano Carrazza, Stefano Forte et al.profile →
Parton distributions with QED corrections
2013298 citationsRichard D. Ball, Valerio Bertone et al.profile →
The path to proton structure at 1% accuracy
2022233 citationsRichard D. Ball, Stefano Carrazza 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 Stefano Forte'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 Stefano Forte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Forte more than expected).
This network shows the impact of papers produced by Stefano Forte. 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 Stefano Forte. The network helps show where Stefano Forte may publish in the future.
Co-authorship network of co-authors of Stefano Forte
This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Forte.
A scholar is included among the top collaborators of Stefano Forte 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 Stefano Forte. Stefano Forte is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
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 →
Ball, Richard D., Valerio Bertone, Stefano Carrazza, et al.. (2017). Parton distributions from high-precision collider data. The European Physical Journal C. 77(10). 663–663.661 indexed citations breakdown →
Ball, Richard D., Valerio Bertone, Stefano Carrazza, et al.. (2015). Parton distributions for the LHC run II. Journal of High Energy Physics. 2015(4).730 indexed citations breakdown →
Ball, Richard D., Valerio Bertone, F. Cerutti, et al.. (2011). On the Impact of NMC Data on Parton Distributions and Higgs Production at the Tevatron and the LHC. arXiv (Cornell University). 26(1). 3–10.1 indexed citations
16.
Caola, Fabrizio, Stefano Forte, & Juan Rojo. (2010). Deviations from NLO DGLAP at small-x within the combined HERA-I dataset. 22.
Altarelli, Guido, Richard D. Ball, Stefano Forte, & Giovanni Ridolfi. (1998). Theoretical Analysis of Polarized Structure Functions. CERN Document Server (European Organization for Nuclear Research). 29(5). 1145–1173.5 indexed citations
19.
Forte, Stefano & Richard D. Ball. (1997). Double asymptotic scaling '96. Nuclear Physics B - Proceedings Supplements. 54(1-2). 163–167.4 indexed citations
20.
Forte, Stefano & Richard D. Ball. (1996). Double scaling violations. CERN Bulletin. 172–176.
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.