Cameron Voisey

799 total citations · 1 hit paper
9 papers, 457 citations indexed

About

Cameron Voisey is a scholar working on Nuclear and High Energy Physics, Electrical and Electronic Engineering and Infectious Diseases. According to data from OpenAlex, Cameron Voisey has authored 9 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Nuclear and High Energy Physics, 1 paper in Electrical and Electronic Engineering and 0 papers in Infectious Diseases. Recurrent topics in Cameron Voisey's work include Quantum Chromodynamics and Particle Interactions (9 papers), Particle physics theoretical and experimental studies (9 papers) and High-Energy Particle Collisions Research (7 papers). Cameron Voisey is often cited by papers focused on Quantum Chromodynamics and Particle Interactions (9 papers), Particle physics theoretical and experimental studies (9 papers) and High-Energy Particle Collisions Research (7 papers). Cameron Voisey collaborates with scholars based in United Kingdom, Netherlands and Italy. Cameron Voisey's co-authors include Maria Ubiali, Zahari Kassabov, Juan Rojo, Emanuele R. Nocera, Stefano Carrazza, Shayan Iranipour, Stefano Forte, Richard D. Ball, Rosalyn L. Pearson and T. Giani and has published in prestigious journals such as Physics Letters B, Journal of High Energy Physics and The European Physical Journal C.

In The Last Decade

Cameron Voisey

9 papers receiving 453 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

Cameron Voisey
Shayan Iranipour Netherlands
Roy Stegeman Italy
Christopher Schwan Germany
Giacomo Magni Netherlands
Ibrahim Sitiwaldi China
Keping Xie United States
Thomas Cridge United Kingdom
Emma Slade United Kingdom
Maeve Madigan United Kingdom
Federico Buccioni Switzerland
Shayan Iranipour Netherlands
Cameron Voisey
Citations per year, relative to Cameron Voisey Cameron Voisey (= 1×) peers Shayan Iranipour

Countries citing papers authored by Cameron Voisey

Since Specialization
Citations

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

Fields of papers citing papers by Cameron Voisey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cameron Voisey

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

All Works

9 of 9 papers shown
1.
Kassabov, Zahari, Maria Ubiali, & Cameron Voisey. (2023). Parton distributions with scale uncertainties: a Monte Carlo sampling approach. Journal of High Energy Physics. 2023(3). 13 indexed citations
2.
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 →
3.
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
4.
Greljo, Admir, Shayan Iranipour, Zahari Kassabov, et al.. (2021). Parton distributions in the SMEFT from high-energy Drell-Yan tails. Apollo (University of Cambridge). 53 indexed citations
5.
Nocera, Emanuele R., Maria Ubiali, & Cameron Voisey. (2020). Single Top Production in PDF fits. Apollo (University of Cambridge). 8 indexed citations
6.
Accomando, Elena, Thomas Cridge, Juri Fiaschi, et al.. (2020). Production of Z′-boson resonances with large width at the LHC. Physics Letters B. 803. 135293–135293. 14 indexed citations
7.
Khalek, Rabah Abdul, Richard D. Ball, Stefano Carrazza, et al.. (2019). Parton Distributions with Theory Uncertainties: General Formalism and First Phenomenological Studies. Edinburgh Research Explorer (University of Edinburgh). 57 indexed citations
8.
Khalek, Rabah Abdul, Richard D. Ball, Stefano Carrazza, et al.. (2019). A first determination of parton distributions with theoretical uncertainties. Edinburgh Research Explorer (University of Edinburgh). 28 indexed citations
9.
Pearson, Rosalyn L. & Cameron Voisey. (2018). Towards parton distribution functions with theoretical uncertainties. Nuclear and Particle Physics Proceedings. 300-302. 24–29. 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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