Matteo Cacciari

10.5k total citations · 1 hit paper
92 papers, 4.3k citations indexed

About

Matteo Cacciari is a scholar working on Nuclear and High Energy Physics, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Matteo Cacciari has authored 92 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Nuclear and High Energy Physics, 20 papers in Electrical and Electronic Engineering and 19 papers in Materials Chemistry. Recurrent topics in Matteo Cacciari's work include Particle physics theoretical and experimental studies (56 papers), High-Energy Particle Collisions Research (51 papers) and Quantum Chromodynamics and Particle Interactions (48 papers). Matteo Cacciari is often cited by papers focused on Particle physics theoretical and experimental studies (56 papers), High-Energy Particle Collisions Research (51 papers) and Quantum Chromodynamics and Particle Interactions (48 papers). Matteo Cacciari collaborates with scholars based in Italy, France and Switzerland. Matteo Cacciari's co-authors include Paolo Nason, Gavin P. Salam, M. Greco, Stefano Frixione, Michelangelo L. Mangano, Giovanni Ridolfi, R. Vogt, Nicolas Houdeau, Andrea Petrelli and G.C. Montanari and has published in prestigious journals such as Physical Review Letters, Nuclear Physics B and Physics Letters B.

In The Last Decade

Matteo Cacciari

86 papers receiving 4.1k citations

Hit Papers

Dispelling the N3 myth for the kt jet-finder 2006 2026 2012 2019 2006 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
Matteo Cacciari Italy 30 3.9k 380 294 265 101 92 4.3k
J.B. Lister Switzerland 25 1.5k 0.4× 519 1.4× 315 1.1× 390 1.5× 53 0.5× 95 1.6k
A. Shimizu Japan 23 1.2k 0.3× 759 2.0× 156 0.5× 279 1.1× 16 0.2× 183 1.5k
H. Fernandes Portugal 20 971 0.3× 305 0.8× 294 1.0× 399 1.5× 23 0.2× 159 1.4k
F. Felici Switzerland 23 1.3k 0.3× 316 0.8× 211 0.7× 552 2.1× 54 0.5× 124 1.7k
G. Kühner Germany 14 836 0.2× 368 1.0× 120 0.4× 255 1.0× 31 0.3× 78 959
G.L. Jahns United States 13 641 0.2× 296 0.8× 117 0.4× 199 0.8× 27 0.3× 26 832
J. L. Peterson United States 19 695 0.2× 157 0.4× 73 0.2× 147 0.6× 30 0.3× 54 1.0k
O. Meneghini United States 21 1.3k 0.3× 500 1.3× 185 0.6× 390 1.5× 22 0.2× 71 1.4k
P.C. de Vries Germany 15 676 0.2× 250 0.7× 46 0.2× 276 1.0× 24 0.2× 22 795
L. Zabeo France 20 1.2k 0.3× 318 0.8× 162 0.6× 473 1.8× 19 0.2× 91 1.3k

Countries citing papers authored by Matteo Cacciari

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Cacciari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Cacciari

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Cacciari. A scholar is included among the top collaborators of Matteo Cacciari 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 Matteo Cacciari. Matteo Cacciari 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.
Cacciari, Matteo, et al.. (2024). Heavy quark fragmentation in e+e− collisions to NNLO+NNLL accuracy in perturbative QCD. Journal of High Energy Physics. 2024(6). 7 indexed citations
3.
Cacciari, Matteo, et al.. (2024). An improved description of charm fragmentation data. The European Physical Journal C. 84(9). 5 indexed citations
4.
Cacciari, Matteo, Luigi Del Debbio, J. R. Espinosa, A. D. Polosa, & M. Testa. (2015). A note on the fate of the Landau–Yang theorem in non-Abelian gauge theories. Physics Letters B. 753. 476–481. 8 indexed citations
5.
Cacciari, Matteo, Frédéric A. Dreyer, Alexander Karlberg, Gavin P. Salam, & Giulia Zanderighi. (2015). Fully Differential Vector-Boson-Fusion Higgs Production at Next-to-Next-to-Leading Order. Physical Review Letters. 115(8). 82002–82002. 158 indexed citations
6.
Cacciari, Matteo, Michelangelo L. Mangano, & Paolo Nason. (2015). Gluon PDF constraints from the ratio of forward heavy-quark production at the LHC at $$\sqrt{S}=7$$ S = 7 and 13 TeV. The European Physical Journal C. 75(12). 610–610. 64 indexed citations
7.
Soyez, Grégory, et al.. (2013). Pileup Subtraction for Jet Shapes. Physical Review Letters. 110(16). 162001–162001. 56 indexed citations
8.
Cacciari, Matteo, Stefano Frixione, Nicolas Houdeau, et al.. (2012). Theoretical predictions for charm and bottom production at the LHC. Journal of High Energy Physics. 2012(10). 232 indexed citations
9.
Cacciari, Matteo, M. Czakon, Michelangelo Mangano, Alexander Mitov, & Paolo Nason. (2012). Top-pair production at hadron colliders with next-to-next-to-leading logarithmic soft-gluon resummation. Physics Letters B. 710(4-5). 612–622. 122 indexed citations
10.
Cacciari, Matteo. (2007). FASTJET: DISPELLING THE N3 MYTH FOR THE kt JET-FINDER. 487–490. 3 indexed citations
11.
Cacciari, Matteo, Paolo Nason, & R. Vogt. (2005). QCD Predictions for Charm and Bottom Quark Production at RHIC. Physical Review Letters. 95(12). 122001–122001. 240 indexed citations
12.
Cacciari, Matteo, et al.. (2002). A robust technique for the estimation of the two-parameter Weibull function for complete data sets. METRON. 64–92. 11 indexed citations
13.
Cacciari, Matteo, A. Contin, Giovanni Mazzanti, & Gian Carlo Montanari. (2002). Identification and separation of two concurrent partial discharge phenomena. 2. 476–479. 10 indexed citations
14.
Cacciari, Matteo & Paolo Nason. (2002). Is There a Significant Excess in Bottom Hadroproduction at the Tevatron?. Physical Review Letters. 89(12). 122003–122003. 67 indexed citations
15.
Cacciari, Matteo, et al.. (2001). QCD radiative corrections to $\gamma^{*}\gamma^{*} \to$ hadrons. Journal of High Energy Physics. 2. 29. 180 indexed citations
16.
Cacciari, Matteo, Stefano Frixione, & Paolo Nason. (2001). The pT spectrum in heavy-flavour photoproduction. Journal of High Energy Physics. 2001(3). 6–6. 207 indexed citations
17.
Cacciari, Matteo, et al.. (1995). An approach to partial-discharge investigation by height-distribution analysis. IEE Proceedings - Science Measurement and Technology. 142(1). 102–108. 21 indexed citations
18.
Cacciari, Matteo, et al.. (1994). Estimation of Mixed-Weibull Distributions Parameters and Standard Quantities for Partial Discharges Analysis. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). 71–78. 5 indexed citations
19.
Bozzo, R., et al.. (1994). Stochastic Procedures for the Investigation of Tree Growth in XLPE Specimens. 269–272. 1 indexed citations
20.
Cacciari, Matteo, Aldo Deandrea, G. Montagna, & O. Nicrosini. (1992). QED Structure Functions: A Systematic Approach. Europhysics Letters (EPL). 17(2). 123–128. 30 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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