F. Buccella

2.2k total citations
122 papers, 1.4k citations indexed

About

F. Buccella is a scholar working on Nuclear and High Energy Physics, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, F. Buccella has authored 122 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Nuclear and High Energy Physics, 9 papers in Statistical and Nonlinear Physics and 5 papers in Artificial Intelligence. Recurrent topics in F. Buccella's work include Particle physics theoretical and experimental studies (104 papers), Quantum Chromodynamics and Particle Interactions (89 papers) and High-Energy Particle Collisions Research (42 papers). F. Buccella is often cited by papers focused on Particle physics theoretical and experimental studies (104 papers), Quantum Chromodynamics and Particle Interactions (89 papers) and High-Energy Particle Collisions Research (42 papers). F. Buccella collaborates with scholars based in Italy, France and Switzerland. F. Buccella's co-authors include Jacques Soffer, C.A. Savoy, C. Bourrely, R. Gatto, M. Lusignoli, Guido Altarelli, Gennaro Miele, A. Pugliese, Pietro Santorelli and H. Ruegg and has published in prestigious journals such as Physical Review Letters, Nuclear Physics B and Physics Letters B.

In The Last Decade

F. Buccella

116 papers receiving 1.4k citations

Peers

F. Buccella
Comparison fields: 5 of 48
  • Nuclear and High Energy Physics 1.3k
  • Astronomy and Astrophysics 110
  • Atomic and Molecular Physics, and Optics 93
  • Statistical and Nonlinear Physics 66
  • Spectroscopy 49
Replace Francisco Ynduráin with:
Francisco Ynduráin Spain
T. D. Spearman Ireland
T. K. Kuo United States
Tran N. Truong France
T. K. Das India
J. Stern France
K. J. Barnes United Kingdom
G. Sartori Italy
Hans J. Pirner Germany
Jacques Soffer France
Francisco Ynduráin Spain View profile →
Citations per field, relative to F. Buccella
F. Buccella · 1×
Citations per year, relative to F. Buccella
F. Buccella · 1×

Countries citing papers authored by F. Buccella

Since Specialization
Citations

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

Fields of papers citing papers by F. Buccella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Buccella

This figure shows the co-authorship network connecting the top 25 collaborators of F. Buccella. A scholar is included among the top collaborators of F. Buccella 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 F. Buccella. F. Buccella 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
# Work Indexed citations
1 0
2 1
3 20
4 10
5 15
6
POLARIZED QUARKS, GLUONS AND SEA IN NUCLEON STRUCTURE FUNCTIONS
13
7 5
8 5
9 18
10 19
11 4
12 3
13 4
14 5
15 24
16 2
17 63
18
ELECTROMAGNETIC MASS DIFFERENCES OF HADRONS. Note No. 231.
0
19 5
20 36

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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2026