Michele Bonnin

125 total papers · 700 total citations
73 papers, 456 citations indexed

About

Michele Bonnin is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Electrical and Electronic Engineering. According to data from OpenAlex, Michele Bonnin has authored 73 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Networks and Communications, 30 papers in Statistical and Nonlinear Physics and 26 papers in Electrical and Electronic Engineering. Recurrent topics in Michele Bonnin's work include Nonlinear Dynamics and Pattern Formation (34 papers), stochastic dynamics and bifurcation (18 papers) and Innovative Energy Harvesting Technologies (13 papers). Michele Bonnin is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (34 papers), stochastic dynamics and bifurcation (18 papers) and Innovative Energy Harvesting Technologies (13 papers). Michele Bonnin collaborates with scholars based in Italy, United States and France. Michele Bonnin's co-authors include Fernando Corinto, Marco Gilli, Fabrizio Bonani, Fabio L. Traversa, Pier Paolo Civalleri, F. Dulieu, Jennifer A. Noble, P. Theulé, Grégoire Danger and Fabrice Duvernay and has published in prestigious journals such as Astronomy and Astrophysics, Neural Networks and Physica D Nonlinear Phenomena.

In The Last Decade

Michele Bonnin

64 papers receiving 441 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Michele Bonnin	159	143	132	107	86	73	456
T. J. Nelson	275 1.7×	74 0.5×	32 0.2×	170 1.6×	93 1.1×	54	543
Yaser Mike Banad	234 1.5×	103 0.7×	65 0.5×	60 0.6×	61 0.7×	65	440
M. de Magistris	198 1.2×	75 0.5×	52 0.4×	50 0.5×	35 0.4×	62	410
Lu Dai	110 0.7×	22 0.2×	63 0.5×	92 0.9×	86 1.0×	52	410
Galen T. Craven	82 0.5×	52 0.4×	259 2.0×	203 1.9×	44 0.5×	37	551
G. Bianchi	202 1.3×	43 0.3×	21 0.2×	18 0.2×	77 0.9×	48	479
Tokihiko Kobata	120 0.8×	131 0.9×	10 0.1×	76 0.7×	201 2.3×	75	505
D. I. Trubet︠s︡kov	116 0.7×	105 0.7×	126 1.0×	200 1.9×	44 0.5×	50	417
Daniel Ioan	252 1.6×	38 0.3×	46 0.3×	43 0.4×	74 0.9×	64	543
Hannes Toepfer	256 1.6×	14 0.1×	18 0.1×	238 2.2×	75 0.9×	85	525

Countries citing papers authored by Michele Bonnin

Since Specialization

Citations

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

Fields of papers citing papers by Michele Bonnin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Bonnin

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

All Works

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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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