Marco Guzzi

6.5k total citations · 3 hit papers
56 papers, 2.4k citations indexed

About

Marco Guzzi is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Artificial Intelligence. According to data from OpenAlex, Marco Guzzi has authored 56 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Nuclear and High Energy Physics, 8 papers in Astronomy and Astrophysics and 3 papers in Artificial Intelligence. Recurrent topics in Marco Guzzi's work include Particle physics theoretical and experimental studies (54 papers), High-Energy Particle Collisions Research (43 papers) and Quantum Chromodynamics and Particle Interactions (38 papers). Marco Guzzi is often cited by papers focused on Particle physics theoretical and experimental studies (54 papers), High-Energy Particle Collisions Research (43 papers) and Quantum Chromodynamics and Particle Interactions (38 papers). Marco Guzzi collaborates with scholars based in United States, Italy and China. Marco Guzzi's co-authors include Pavel Nadolsky, C.–P. Yuan, J. Huston, Jon Pumplin, Jun Gao, Daniel R. Stump, Sayipjamal Dulat, Tie-Jiun Hou, Carl R. Schmidt and Li Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nuclear Physics B and Physics Letters B.

In The Last Decade

Marco Guzzi

50 papers receiving 2.3k citations

Hit Papers

New parton distribution functions from a global analys... 2010 2026 2015 2020 2016 2010 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
Marco Guzzi United States 18 2.3k 168 46 45 44 56 2.4k
Carl R. Schmidt United States 26 2.7k 1.1× 174 1.0× 40 0.9× 70 1.6× 47 1.1× 48 2.7k
M. Moretti Italy 17 1.6k 0.7× 237 1.4× 45 1.0× 44 1.0× 55 1.3× 53 1.6k
A. Gehrmann–De Ridder Switzerland 31 2.8k 1.2× 147 0.9× 41 0.9× 88 2.0× 67 1.5× 86 2.9k
Zahari Kassabov United Kingdom 15 1.6k 0.7× 77 0.5× 46 1.0× 41 0.9× 63 1.4× 22 1.7k
Emanuele R. Nocera United Kingdom 20 2.0k 0.9× 92 0.5× 54 1.2× 46 1.0× 58 1.3× 46 2.1k
T. Gleisberg United States 16 1.8k 0.8× 134 0.8× 99 2.2× 54 1.2× 81 1.8× 25 1.9k
Pavel Nadolsky United States 24 3.9k 1.7× 198 1.2× 77 1.7× 61 1.4× 78 1.8× 77 4.0k
Wouter J. Waalewijn United States 27 2.1k 0.9× 105 0.6× 27 0.6× 25 0.6× 60 1.4× 64 2.2k
Alexander Huss Switzerland 24 1.5k 0.6× 124 0.7× 37 0.8× 44 1.0× 67 1.5× 70 1.6k
J.Ph. Guillet France 23 2.0k 0.8× 110 0.7× 33 0.7× 76 1.7× 53 1.2× 71 2.0k

Countries citing papers authored by Marco Guzzi

Since Specialization
Citations

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

Fields of papers citing papers by Marco Guzzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Guzzi

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Guzzi. A scholar is included among the top collaborators of Marco Guzzi 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 Marco Guzzi. Marco Guzzi 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
2.
Guzzi, Marco, Keping Xie, Sayipjamal Dulat, et al.. (2024). Exploring the impact of high-precision top-quark pair production data on the structure of the proton at the LHC. Physical review. D. 109(5). 9 indexed citations
3.
Nadolsky, Pavel, Sayipjamal Dulat, Marco Guzzi, et al.. (2024). The upcoming CTEQ-TEA parton distributions in a nutshell. 57–57. 1 indexed citations
4.
Guzzi, Marco, Pavel Nadolsky, Laura Reina, D. Wackeroth, & Keping Xie. (2024). General mass variable flavor number scheme for Z boson production in association with a heavy quark at hadron colliders. Physical review. D. 110(11). 2 indexed citations
5.
Ablat, Abduleziz, Sayipjamal Dulat, Marco Guzzi, et al.. (2024). New results in the CTEQ-TEA global analysis of parton distributions in the nucleon. The European Physical Journal Plus. 139(12). 4 indexed citations
6.
Kidonakis, Nikolaos, Marco Guzzi, & Alberto Tonero. (2023). Top-quark cross sections and distributions at approximate N3LO. Physical review. D. 108(5). 9 indexed citations
7.
Faraggi, Alon E., et al.. (2023). String Derived Z ′ Model at an Upgraded Superconducting Super Collider. 2023. 1 indexed citations
8.
Faraggi, Alon E., et al.. (2023). Precision studies for string derived $$Z'$$ dynamics at the LHC. The European Physical Journal C. 83(1). 3 indexed citations
9.
Guzzi, Marco, T. J. Hobbs, Keping Xie, et al.. (2023). The persistent nonperturbative charm enigma. Physics Letters B. 843. 137975–137975. 29 indexed citations
10.
Faraggi, Alon E. & Marco Guzzi. (2022). Z<sup>′</sup> s and sterile neutrinos from heterotic string models: exploring Z<sup>′</sup> mass exclusion limits. SHILAP Revista de lepidopterología. 6 indexed citations
11.
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
12.
Guzzi, Marco, Pavel Nadolsky, & Keping Xie. (2022). Impact of heavy-quark production measurements in the CT18 global QCD analysis of PDFs. SHILAP Revista de lepidopterología. 3 indexed citations
13.
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 →
14.
Dasgupta, Mrinal, et al.. (2020). Groomed jet mass as a direct probe of collinear parton dynamics. Research Explorer (The University of Manchester). 11 indexed citations
15.
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
16.
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
17.
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
18.
Guzzi, Marco, et al.. (2013). Top quark production at the LHC: differential cross section and phenomenological perspectives. DESY (CERN, DESY, Fermilab, IHEP, and SLAC). 49–49.
19.
Guzzi, Marco, J. Gao, & Pavel Nadolsky. (2013). Charm quark mass dependence in CTEQ NNLO global analysis. 302–302.
20.
Guzzi, Marco, David Padua, Jay Hoeflinger, & Duncan H. Lawrie. (1988). Cedar Fortran and other vector and parallel Fortran dialects. Conference on High Performance Computing (Supercomputing). 114–121. 3 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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