Stefano Boccaletti

460 citations
17 papers · 332 indexed · h-index 8
Topics
Nonlinear Dynamics and Pattern Formation (8 papers)Complex Network Analysis Techniques (4 papers)Ecosystem dynamics and resilience (3 papers)
Partner nations
ItalySpainChina

In The Last Decade

Stefano Boccaletti

15 papers receiving 326 citations

Peers

Stefano Boccaletti
Comparison fields: 5 of 51
  • Statistical and Nonlinear Physics 211
  • Computer Networks and Communications 200
  • Global and Planetary Change 62
  • Cognitive Neuroscience 58
  • Biomedical Engineering 36
Replace Linru Nie with:
Linru Nie China
Alexander C. Kalloniatis Australia
Barbara Gentz Germany
Steve Guillouzic Canada
Arnob Ray India
Suso Kraut Germany
Sergio E. Mangioni Argentina
Angelo La Cognata Italy
A. V. Krichigin Russia
Christian Kurrer United States
Stefano Boccaletti relative to Linru Nie China Linru Nie's profile →
Citations per field
00.5×4.5×
Linru Nie · 1×
Citations per year

Countries citing papers authored by Stefano Boccaletti

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Boccaletti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Boccaletti

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Boccaletti. A scholar is included among the top collaborators of Stefano Boccaletti 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 Stefano Boccaletti. Stefano Boccaletti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 0
2 0
3 4
4 1
5 1
6 5
7 8
8 87
9 8
10 7
11 2
12 129
13 9
14 49
15 16
16 4
17 2

About Stefano Boccaletti

Stefano Boccaletti is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Modeling and Simulation, having authored 17 papers that have together received 332 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (8 papers), Complex Network Analysis Techniques (4 papers) and Ecosystem dynamics and resilience (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (211 citations), Computer Networks and Communications (200 citations) and Cognitive Neuroscience (58 citations). Stefano Boccaletti has collaborated with scholars based in Italy, Spain and China. Frequent co-authors include A. Fiasconaro, Bernardo Spagnolo, A. Navas, Simona Olmi, Alessandro Torcini, H. Mancini, Diego Maza, F. T. Arecchi, Luigi Piccardi and M. Boccaletti. Their work appears in journals such as Physical Review Letters, Geophysical Research Letters and Chaos Solitons & Fractals.

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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