Carlo Flore

1.3k total citations
15 papers, 132 citations indexed

About

Carlo Flore is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Infectious Diseases. According to data from OpenAlex, Carlo Flore has authored 15 papers receiving a total of 132 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Nuclear and High Energy Physics, 1 paper in Computer Networks and Communications and 0 papers in Infectious Diseases. Recurrent topics in Carlo Flore's work include Quantum Chromodynamics and Particle Interactions (14 papers), Particle physics theoretical and experimental studies (14 papers) and High-Energy Particle Collisions Research (14 papers). Carlo Flore is often cited by papers focused on Quantum Chromodynamics and Particle Interactions (14 papers), Particle physics theoretical and experimental studies (14 papers) and High-Energy Particle Collisions Research (14 papers). Carlo Flore collaborates with scholars based in Italy, France and United States. Carlo Flore's co-authors include U. D’Alesio, F. Murgia, Jean-Philippe Lansberg, Hua-Sheng Shao, Alexei Prokudin, J. O. Gonzalez-Hernandez, M. Boglione, Pieter Taels, Cristian Pisano and C. Hadjidakis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physics Letters B and Journal of High Energy Physics.

In The Last Decade

Carlo Flore

13 papers receiving 130 citations

Peers

Carlo Flore
N. W. Prouse United Kingdom
P. Rodrigues United Kingdom
M. Lisovyi Germany
U. Straumann United Kingdom
Carlo Flore
Citations per year, relative to Carlo Flore Carlo Flore (= 1×) peers H. Hesari

Countries citing papers authored by Carlo Flore

Since Specialization
Citations

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

Fields of papers citing papers by Carlo Flore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlo Flore

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

All Works

15 of 15 papers shown
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2.
Flore, Carlo, et al.. (2025). Automated NLO calculations for asymmetric hadron-hadron collisions in MadGraph5_aMC@NLO. The European Physical Journal A. 61(10).
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Boglione, M., U. D’Alesio, Carlo Flore, et al.. (2024). Simultaneous reweighting of Transverse Momentum Dependent distributions. Physics Letters B. 854. 138712–138712. 5 indexed citations
5.
Flore, Carlo. (2023). NLOAccess: automated online computations for collider physics. The European Physical Journal A. 59(3). 1 indexed citations
6.
Flore, Carlo, et al.. (2022). Revisiting NLO QCD corrections to total inclusive J/ψ and ϒ photoproduction cross sections in lepton-proton collisions. Physics Letters B. 835. 137556–137556. 15 indexed citations
7.
Flore, Carlo, D. P. Kikoła, A. Kusina, et al.. (2022). A tool for automated perturbative cross section computations of asymmetric hadronic collisions at next-to-leading order using the $\texttt{MadGraph5_aMC@NLO}$ framework. Proceedings of 41st International Conference on High Energy physics — PoS(ICHEP2022). 494–494. 1 indexed citations
8.
Flore, Carlo, et al.. (2022). NLO inclusive $J/ψ$ photoproduction at large $P_T$ at HERA and the EIC. SHILAP Revista de lepidopterología. 1 indexed citations
9.
Boglione, M., U. D’Alesio, Carlo Flore, et al.. (2021). Reweighting the Sivers function with jet data from STAR. Physics Letters B. 815. 136135–136135. 6 indexed citations
10.
Flore, Carlo, et al.. (2020). Large-P inclusive photoproduction of J/ψ in electron-proton collisions at HERA and the EIC. Physics Letters B. 811. 135926–135926. 26 indexed citations
11.
D’Alesio, U., Carlo Flore, & Alexei Prokudin. (2020). Role of the Soffer bound in determination of transversity and the tensor charge. Physics Letters B. 803. 135347–135347. 18 indexed citations
12.
D’Alesio, U., Carlo Flore, F. Murgia, Cristian Pisano, & Pieter Taels. (2019). Unraveling the gluon Sivers function in hadronic collisions at RHIC. Physical review. D. 99(3). 30 indexed citations
13.
Pisano, Cristian, U. D’Alesio, Carlo Flore, F. Murgia, & Pieter Taels. (2019). Process dependence of the gluon Sivers function in inclusive $pp$ collisions: theory. UNICA IRIS Institutional Research Information System (University of Cagliari). 48–48. 1 indexed citations
14.
Boglione, M., U. D’Alesio, Carlo Flore, & J. O. Gonzalez-Hernandez. (2018). Assessing signals of TMD physics in SIDIS azimuthal asymmetries and in the extraction of the Sivers function. Journal of High Energy Physics. 2018(7). 19 indexed citations
15.
D’Alesio, U., Carlo Flore, & F. Murgia. (2017). Transverse single-spin asymmetries in phX within a TMD approach: Role of quasireal photon exchange. Physical review. D. 95(9). 8 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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