Stefano Euzzor

413 citations
34 papers · 330 · h-index 11

Impact in

Papers in

Stefano Euzzor

33 papers receiving 321 citations

Peers

Stefano Euzzor
Comparison fields: 5 of 55
  • Statistical and Nonlinear Physics 238
  • Computer Networks and Communications 200
  • Cognitive Neuroscience 63
  • Acoustics and Ultrasonics 2
  • Modeling and Simulation 10
Replace Jonatán Peña Ramírez with:
Jonatán Peña Ramírez Mexico
Pooja Rani Sharma India
Munehisa Sekikawa Japan
B. Nana Cameroon
Rong Gui China
Otti D’Huys Germany
Binoy Krishna Goswami India
Debabrata Biswas India
Boualem Mensour Canada
Stefano Euzzor relative to Jonatán Peña Ramírez Mexico Jonatán Peña Ramírez's profile →
Citations per field
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Jonatán Peña Ramírez · 1×
Citations per year

Countries citing papers authored by Stefano Euzzor

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Euzzor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201633
2 200828
3 201526
4 201025
5 200822
6 201320
7 202019
8 201118
9 202113
10 200912
11 201211
12 201710
13 20189
14 20198
15 20178
16 20157
17 20167
18 20026
19 20125
20 20215

About Stefano Euzzor

Stefano Euzzor is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Cognitive Neuroscience, Electrical and Electronic Engineering and Artificial Intelligence, having authored 34 papers that have together received 330 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (25 papers), stochastic dynamics and bifurcation (18 papers), Chaos control and synchronization (15 papers), Neural dynamics and brain function (10 papers), Quantum chaos and dynamical systems (7 papers), Advanced Memory and Neural Computing (4 papers), Quantum Information and Cryptography (2 papers) and Mechanical and Optical Resonators (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (238 citations), Computer Networks and Communications (200 citations), Cognitive Neuroscience (63 citations), Acoustics and Ultrasonics (2 citations) and Modeling and Simulation (10 citations). Stefano Euzzor has collaborated with scholars based in Italy, Spain and France. Frequent co-authors include R. Meucci, F. T. Arecchi, Samuel Zambrano, Jason A. C. Gallas, Jean‐Marc Ginoux, Jesús M. Seoane, Miguel A. F. Sanjuán, Angelo Di Garbo, Marzena Ciszak and Inés P. Mariño. Their work appears in journals such as Scientific Reports, International Journal of Bifurcation and Chaos, Communications in Nonlinear Science and Numerical Simulation, New Journal of Physics and Physics Letters A.

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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