G. Turchetti

181 papers receiving 1.5k citations

Peers

G. Turchetti
Comparison fields: 5 of 91
  • Statistical and Nonlinear Physics 761
  • Mathematical Physics 314
  • Nuclear and High Energy Physics 347
  • Numerical Analysis 137
  • Modeling and Simulation 86
Replace E. A. Kuznetsov with:
E. A. Kuznetsov Russia
G. M. Zaslavskiĭ Russia
N. N. Bogoli︠u︡bov Russia
E. T. Whittaker
R. Vilela Mendes Portugal
В. В. Козлов Russia
Tassos Bountis Greece
А. И. Нейштадт Russia
Valery Vasil'evich Kozlov Russia
G. L. Lamb United States
G. Turchetti relative to E. A. Kuznetsov Russia E. A. Kuznetsov's profile →
Citations per field
00.5×2.9×
E. A. Kuznetsov · 1×
Citations per year

Countries citing papers authored by G. Turchetti

Since Specialization
Citations

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

Fields of papers citing papers by G. Turchetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside G. Turchetti, 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. Turchetti Line = papers co-authored together G. Turchetti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 186 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200861
2 198860
3 201153
4 197145
5 198843
6 199441
7 198739
8 199036
9 200336
10 197631
11 201229
12 199326
13 198320
14 200420
15 201720
16 201020
17 200519
18 197919
19 201218
20 198918

About G. Turchetti

G. Turchetti is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics, Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 186 papers that have together received 1.5k indexed citations. Recurring topics across this work include Quantum chaos and dynamical systems (66 papers), Mathematical Dynamics and Fractals (39 papers), Chaos control and synchronization (22 papers), Particle Accelerators and Free-Electron Lasers (20 papers), Particle accelerators and beam dynamics (20 papers), Laser-Plasma Interactions and Diagnostics (19 papers), Numerical methods for differential equations (14 papers) and Magnetic confinement fusion research (13 papers). The work is most often cited by research in Statistical and Nonlinear Physics (761 citations), Mathematical Physics (314 citations), Nuclear and High Energy Physics (347 citations), Numerical Analysis (137 citations) and Modeling and Simulation (86 citations). G. Turchetti has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Sandro Vaienti, Armando Bazzani, G. Servizi, D. Bessis, C. Benedetti, P. Londrillo, Davide Faranda, A. Sgattoni, Michael F. Barnsley and V. Grecchi. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of Statistical Physics, Physics Letters A, Physica A Statistical Mechanics and its Applications and Chaos An Interdisciplinary Journal of Nonlinear Science.

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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