Gennaro Corcella

4.1k total citations · 2 hit papers
34 papers, 1.2k citations indexed

About

Gennaro Corcella is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Gennaro Corcella has authored 34 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Nuclear and High Energy Physics, 3 papers in Computer Networks and Communications and 2 papers in Artificial Intelligence. Recurrent topics in Gennaro Corcella's work include Particle physics theoretical and experimental studies (33 papers), High-Energy Particle Collisions Research (27 papers) and Quantum Chromodynamics and Particle Interactions (27 papers). Gennaro Corcella is often cited by papers focused on Particle physics theoretical and experimental studies (33 papers), High-Energy Particle Collisions Research (27 papers) and Quantum Chromodynamics and Particle Interactions (27 papers). Gennaro Corcella collaborates with scholars based in Italy, Switzerland and United States. Gennaro Corcella's co-authors include Michael H. Seymour, Stefano Moretti, B.R. Webber, Peter Richardson, I.G. Knowles, Kosuke Odagiri, Giuseppe Marchesini, A. Hektor, Marco Cirelli and Alexander Mitov and has published in prestigious journals such as Physical Review Letters, Nuclear Physics B and Physics Letters B.

In The Last Decade

Gennaro Corcella

30 papers receiving 1.2k citations

Hit Papers

HERWIG 6: an event generator for hadron emission reaction... 2001 2026 2009 2017 2001 2016 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
Gennaro Corcella Italy 12 1.2k 269 26 26 19 34 1.2k
M. Herquet Belgium 7 1.0k 0.9× 215 0.8× 37 1.4× 40 1.5× 10 0.5× 10 1.0k
Qi-Shu Yan China 20 1.2k 1.0× 335 1.2× 14 0.5× 32 1.2× 18 0.9× 65 1.2k
S. De Visscher Belgium 4 827 0.7× 151 0.6× 29 1.1× 27 1.0× 8 0.4× 5 836
Ken Mimasu United Kingdom 13 936 0.8× 335 1.2× 17 0.7× 47 1.8× 31 1.6× 31 962
Kentarou Mawatari Japan 20 1.0k 0.9× 235 0.9× 30 1.2× 67 2.6× 42 2.2× 54 1.1k
J. Lorenzo Díaz-Cruz Mexico 21 1.3k 1.0× 293 1.1× 21 0.8× 20 0.8× 21 1.1× 79 1.3k
Sandro Uccirati Italy 19 1.1k 0.9× 174 0.6× 22 0.8× 40 1.5× 18 0.9× 42 1.1k
Giuseppe Marchesini Italy 8 819 0.7× 95 0.4× 26 1.0× 20 0.8× 9 0.5× 17 860
Brock Tweedie United States 16 730 0.6× 177 0.7× 16 0.6× 46 1.8× 23 1.2× 19 744
R. Kogler Germany 6 730 0.6× 236 0.9× 13 0.5× 50 1.9× 11 0.6× 15 749

Countries citing papers authored by Gennaro Corcella

Since Specialization
Citations

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

Fields of papers citing papers by Gennaro Corcella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gennaro Corcella

This figure shows the co-authorship network connecting the top 25 collaborators of Gennaro Corcella. A scholar is included among the top collaborators of Gennaro Corcella 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 Gennaro Corcella. Gennaro Corcella 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.
Corcella, Gennaro. (2024). Hunting for Bileptons at Hadron Colliders. Entropy. 26(10). 850–850.
2.
Bagnaschi, Emanuele, Gennaro Corcella, Roberto Franceschini, & Dibyashree Sengupta. (2024). Rise and Fall of Light Top Squarks in the LHC Top-Quark Sample. Physical Review Letters. 133(6). 61801–61801.
3.
Corcella, Gennaro. (2022). Selected Results in Heavy-Quark Fragmentation. Universe. 8(9). 490–490. 1 indexed citations
4.
Corcella, Gennaro. (2016). Interpretation of top-quark mass measurements: a theory overview. 37–37. 3 indexed citations
5.
Forte, Stefano, A. Nisati, Giampiero Passarino, et al.. (2015). The Standard Model from LHC to future colliders. The European Physical Journal C. 75(11). 554–554. 6 indexed citations
6.
Corcella, Gennaro. (2014). Hadronization systematics and top mass reconstruction. Springer Link (Chiba Institute of Technology). 2 indexed citations
7.
Corcella, Gennaro & Simonetta Gentile. (2012). Heavy neutral gauge bosons at the LHC in an extended MSSM. Nuclear Physics B. 866(3). 293–336. 7 indexed citations
8.
Barbieri, R., A. E. Cárcamo Hernández, Gennaro Corcella, Riccardo Torre, & Enrico Trincherini. (2010). Composite vectors at the Large Hadron Collider. Journal of High Energy Physics. 2010(3). 16 indexed citations
9.
Acharya, B. S., F. Cavallari, Gennaro Corcella, R. Di Sipio, & G. Petrucciani. (2008). Monte Carlo generators for top quark physics at the LHC. Research Portal (King's College London). 123(123). 415–420.
10.
Corcella, Gennaro & Lorenzo Magnea. (2005). Soft-gluon resummation effects on parton distributions. Physical review. D. Particles, fields, gravitation, and cosmology. 72(7). 23 indexed citations
11.
Corcella, Gennaro. (2005). Impact of large-x resummation on parton distribution functions. AIP conference proceedings. 792. 303–306. 1 indexed citations
12.
Corcella, Gennaro & André H. Hoang. (2004). Bottom quark mass determination from low-n sum rules. Nuclear Physics B - Proceedings Supplements. 133. 186–189.
13.
Corcella, Gennaro & Alexander Mitov. (2003). Soft-gluon resummation for heavy quark production in charged-current Deep Inelastic Scattering. Nuclear Physics B. 676(1-2). 346–364. 16 indexed citations
14.
Corcella, Gennaro & André H. Hoang. (2003). Uncertainties in the MS bottom quark mass from relativistic sum rules. Physics Letters B. 554(3-4). 133–140. 21 indexed citations
15.
Cacciari, Matteo, Gennaro Corcella, & Alexander Mitov. (2002). Soft-Gluon Resummation for Bottom Fragmentation in Top Quark Decay. Journal of High Energy Physics. 2002(12). 15–15. 26 indexed citations
16.
Corcella, Gennaro, I.G. Knowles, Giuseppe Marchesini, et al.. (2001). HERWIG 6: an event generator for hadron emission reactions with interfering gluons (including supersymmetric processes). Journal of High Energy Physics. 2001(1). 10–10. 654 indexed citations breakdown →
17.
Corcella, Gennaro & Michael H. Seymour. (2000). Vector boson transverse momentum distributions at the Tevatron. Journal of Physics G Nuclear and Particle Physics. 26(5). 643–645. 1 indexed citations
18.
Corcella, Gennaro & Michael H. Seymour. (2000). Initial state radiation in simulations of vector boson production at hadron colliders. Nuclear Physics B. 565(1-2). 227–244. 34 indexed citations
19.
Colangelo, Pietro & Gennaro Corcella. (1998). Investigations on CPT invariance at $B$ -factories. The European Physical Journal C. 1(3). 515–522. 8 indexed citations
20.
Colangelo, Pietro, Gennaro Corcella, & G. Nardulli. (1996). ϒ(4S)B0B¯0γbackground atBfactories. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 54(1). 1212–1214. 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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