J. Huston

49.8k total citations · 6 hit papers
64 papers, 5.0k citations indexed

About

J. Huston is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, J. Huston has authored 64 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Nuclear and High Energy Physics, 3 papers in Artificial Intelligence and 2 papers in Biomedical Engineering. Recurrent topics in J. Huston's work include Particle physics theoretical and experimental studies (60 papers), High-Energy Particle Collisions Research (58 papers) and Quantum Chromodynamics and Particle Interactions (48 papers). J. Huston is often cited by papers focused on Particle physics theoretical and experimental studies (60 papers), High-Energy Particle Collisions Research (58 papers) and Quantum Chromodynamics and Particle Interactions (48 papers). J. Huston collaborates with scholars based in United States, China and United Kingdom. J. Huston's co-authors include Jon Pumplin, Pavel Nadolsky, C.–P. Yuan, Daniel R. Stump, Marco Guzzi, H. L. Lai, Jun Gao, Sayipjamal Dulat, Tie-Jiun Hou and Carl R. Schmidt and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Reviews of Modern Physics.

In The Last Decade

J. Huston

58 papers receiving 4.9k citations

Hit Papers

New parton distribution func... 1997 2026 2006 2016 2016 2010 2008 1997 2021 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Huston United States 24 4.9k 284 86 77 70 64 5.0k
R. S. Thorne United Kingdom 31 5.3k 1.1× 357 1.3× 74 0.9× 74 1.0× 70 1.0× 93 5.4k
W.J. Stirling United Kingdom 39 5.1k 1.0× 373 1.3× 90 1.0× 112 1.5× 39 0.6× 115 5.1k
W. J. Stirling United Kingdom 29 4.6k 0.9× 334 1.2× 75 0.9× 72 0.9× 39 0.6× 101 4.7k
Paolo Nason Italy 44 7.7k 1.6× 410 1.4× 141 1.6× 133 1.7× 90 1.3× 106 7.8k
Maria Ubiali United Kingdom 28 3.7k 0.8× 254 0.9× 76 0.9× 150 1.9× 103 1.5× 59 3.8k
Michael H. Seymour United Kingdom 20 3.8k 0.8× 323 1.1× 72 0.8× 152 2.0× 102 1.5× 52 3.8k
Frank Krauss United Kingdom 31 3.8k 0.8× 341 1.2× 87 1.0× 166 2.2× 143 2.0× 83 3.9k
A. Gehrmann–De Ridder Switzerland 31 2.8k 0.6× 147 0.5× 88 1.0× 67 0.9× 41 0.6× 86 2.9k
Alberto Guffanti United Kingdom 22 3.6k 0.7× 368 1.3× 68 0.8× 136 1.8× 90 1.3× 43 3.7k
Valerio Bertone United Kingdom 27 3.7k 0.8× 271 1.0× 62 0.7× 142 1.8× 89 1.3× 53 3.8k

Countries citing papers authored by J. Huston

Since Specialization
Citations

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

Fields of papers citing papers by J. Huston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Huston

This figure shows the co-authorship network connecting the top 25 collaborators of J. Huston. A scholar is included among the top collaborators of J. Huston 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 J. Huston. J. Huston 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.
Dulat, Sayipjamal, Tie-Jiun Hou, J. Huston, et al.. (2025). Impact of LHC precision measurements of inclusive jet and dijet production on the CTEQ-TEA global PDF fit. Physical review. D. 111(3). 1 indexed citations
2.
Nadolsky, Pavel, Sayipjamal Dulat, Marco Guzzi, et al.. (2024). The upcoming CTEQ-TEA parton distributions in a nutshell. 57–57. 1 indexed citations
3.
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
4.
Huss, Alexander, J. Huston, Stephen Jones, & Mathieu Pellen. (2023). Les Houches 2021—physics at TeV colliders: report on the standard model precision wishlist. Journal of Physics G Nuclear and Particle Physics. 50(4). 43001–43001. 25 indexed citations
5.
Courtoy, Aurore, J. Huston, Pavel Nadolsky, et al.. (2023). Parton distributions need representative sampling. Physical review. D. 107(3). 20 indexed citations
6.
Guzzi, Marco, T. J. Hobbs, Tie-Jiun Hou, et al.. (2022). NNLO constraints on proton PDFs from the SeaQuest and STAR experiments and other developments in the CTEQ-TEA global analysis. SHILAP Revista de lepidopterología. 8 indexed citations
7.
Buckley, A. G., Xuan Chen, Juan Cruz–Martinez, et al.. (2021). A comparative study of Higgs boson production from vector-boson fusion. BOA (University of Milano-Bicocca). 21 indexed citations
8.
Hou, Tie-Jiun, Jun Gao, T. J. Hobbs, et al.. (2021). New CTEQ global analysis of quantum chromodynamics with high-precision data from the LHC. Physical review. D. 103(1). 363 indexed citations breakdown →
9.
Czakon, M., Sayipjamal Dulat, Tie-Jiun Hou, et al.. (2020). An exploratory study of the impact of CMS double-differential top distributions on the gluon parton distribution function. Journal of Physics G Nuclear and Particle Physics. 48(1). 15003–15003. 11 indexed citations
10.
Bellm, Johannes, A. G. Buckley, Xuan Chen, et al.. (2020). Jet cross sections at the LHC and the quest for higher precision. The European Physical Journal C. 80(2). 93–93. 18 indexed citations
11.
Yuan, C.–P., Tie-Jiun Hou, Keping Xie, et al.. (2019). New CTEQ global analysis with high precision data from the LHC. Proceedings Of Science. 1–1. 3 indexed citations
12.
Dulat, Sayipjamal, Tie-Jiun Hou, J. Gao, et al.. (2016). The structure of the proton: The CT14 QCD global analysis. SHILAP Revista de lepidopterología. 120. 7003–7003. 2 indexed citations
13.
Gao, Jun, Marco Guzzi, J. Huston, et al.. (2014). CT10 next-to-next-to-leading order global analysis of QCD. Physical review. D. Particles, fields, gravitation, and cosmology. 89(3). 160 indexed citations
14.
Pumplin, J., et al.. (2005). Parton Distributions and the Strong Coupling Strength alpha_s. arXiv (Cornell University).
15.
Pumplin, J., et al.. (2002). パートン分布関数からの予想の不定性 II ヘッシアン法. Physical Review D. 65(1). 1–14013. 14 indexed citations
16.
Huston, J.. (2001). A Comparison of the Underlying Event in Jet and Minimum Bias Events. International Journal of Modern Physics A. 16(supp01a). 219–221. 1 indexed citations
17.
Sterman, George, John Smith, John C. Collins, et al.. (1995). Handbook of perturbative QCD. Reviews of Modern Physics. 67(1). 157–248. 235 indexed citations
18.
Barnes, V. E., B. Blumenfeld, R. N. Cahn, et al.. (1987). Compositeness and QCD at the SSC. Health & Place. 9(3). 241–51. 2 indexed citations
19.
Collick, B., S. Heppelmann, T. Joyce, et al.. (1984). Primakoff Production of theB+(1235)Meson. Physical Review Letters. 53(25). 2374–2377. 15 indexed citations
20.
Zieliński, M., D. Berg, C. Chandlee, et al.. (1983). Three pion production on nuclei at 200 GeV. The European Physical Journal C. 16(3). 197–204. 17 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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