Franco Vivaldi

2.4k citations
74 papers · 1.8k · h-index 23

Impact in

Papers in

Franco Vivaldi

69 papers receiving 1.6k citations

Peers

Franco Vivaldi
Comparison fields: 5 of 71
  • Statistical and Nonlinear Physics 1.3k
  • Mathematical Physics 682
  • Geometry and Topology 299
  • Condensed Matter Physics 160
  • Computational Theory and Mathematics 215
Replace Nicholas M. Ercolani with:
Nicholas M. Ercolani United States
Eugène Gutkin United States
Yves Colin de Verdìère France
John A G Roberts Australia
Gregory Berkolaiko United States
W.‐H. Steeb Germany
Pierre Lochak France
Jeroen S. W. Lamb United Kingdom
S P Novikov Russia
Hans Koch United States
Franco Vivaldi relative to Nicholas M. Ercolani United States Nicholas M. Ercolani's profile →
Citations per field
00.5×3.1×
Nicholas M. Ercolani · 1×
Citations per year

Countries citing papers authored by Franco Vivaldi

Since Specialization
Citations

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

Fields of papers citing papers by Franco Vivaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982196
2 1984181
3 1981175
4 198399
5 198788
6 198664
7 198452
8 199446
9 198745
10 198238
11 198738
12 200334
13 199733
14 200232
15 199931
16 198431
17 200330
18 199029
19 198526
20 200625

About Franco Vivaldi

Franco Vivaldi is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics, Computational Theory and Mathematics, Geometry and Topology and Computer Networks and Communications, having authored 74 papers that have together received 1.8k indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (40 papers), Quantum chaos and dynamical systems (36 papers), Chaos control and synchronization (11 papers), Cellular Automata and Applications (10 papers), advanced mathematical theories (8 papers), Nonlinear Dynamics and Pattern Formation (8 papers), Superconducting Materials and Applications (6 papers) and Topological and Geometric Data Analysis (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.3k citations), Mathematical Physics (682 citations), Geometry and Topology (299 citations), Condensed Matter Physics (160 citations) and Computational Theory and Mathematics (215 citations). Franco Vivaldi has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Giulio Casati, Joseph Ford, I C Percival, J. H. Lowenstein, Harvey Segur, Tassos Bountis, Italo Guarneri, William M. Visscher, John A G Roberts and D. K. Arrowsmith. Their work appears in journals such as Nonlinearity, Physica D Nonlinear Phenomena, Physical Review Letters, Chaos An Interdisciplinary Journal of Nonlinear Science and Dynamical Systems.

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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