G. Maino

1.2k citations
122 papers · 974 · h-index 16

Impact in

Papers in

G. Maino

113 papers receiving 920 citations

Peers

G. Maino
Comparison fields: 5 of 87
  • Nuclear and High Energy Physics 399
  • Algebra and Number Theory 92
  • Applied Mathematics 167
  • Statistical and Nonlinear Physics 176
  • Modeling and Simulation 60
Replace I. J. Zucker with:
I. J. Zucker United Kingdom
Harry A. Mavromatis Saudi Arabia
G S Joyce United Kingdom
Hans Dieter Dahmen Germany
Masafumi Yoshino Japan
Roman N. Lee Russia
Patrick Gérard France
Raj K. Pathria Canada
I. I. Guseinov Türkiye
John P. Killingbeck United Kingdom
G. Maino relative to I. J. Zucker United Kingdom I. J. Zucker's profile →
Citations per field
00.5×2×3×4×4.6×
I. J. Zucker · 1×
Citations per year

Countries citing papers authored by G. Maino

Since Specialization
Citations

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

Fields of papers citing papers by G. Maino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside G. Maino, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G. Maino Line = papers co-authored together G. Maino links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199148
2 199144
3 199641
4 200239
5 199433
6 199232
7 199331
8 199029
9 199128
10 198426
11 200326
12 198923
13 199523
14 198522
15 198018
16 199817
17 199615
18 198114
19 199413
20 199913

About G. Maino

G. Maino is a scholar working on Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Applied Mathematics and Radiation, having authored 122 papers that have together received 974 indexed citations. Recurring topics across this work include Nuclear physics research studies (42 papers), Quantum Chromodynamics and Particle Interactions (30 papers), Atomic and Molecular Physics (18 papers), Mathematical functions and polynomials (15 papers), Laser-Matter Interactions and Applications (12 papers), Quantum chaos and dynamical systems (12 papers), Quantum Mechanics and Non-Hermitian Physics (10 papers) and Nuclear Physics and Applications (9 papers). The work is most often cited by research in Nuclear and High Energy Physics (399 citations), Algebra and Number Theory (92 citations), Applied Mathematics (167 citations), Statistical and Nonlinear Physics (176 citations) and Modeling and Simulation (60 citations). G. Maino has collaborated with scholars based in Italy, United States and Brazil. Frequent co-authors include S. Lorenzutta, A. Torre, Alberto Ventura, G. Dattoli, CESARE CHICCOLI, FRANCESCO IACHELLO, Elisabetta Canetta, Lawrence M. Krauss, E. Menapace and Umberto Lucia. Their work appears in journals such as Physical Review C, Computers & Mathematics with Applications, Computer Physics Communications, Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms and Journal of Mathematical Analysis and Applications.

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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