Mauro Benedetti

44 total papers · 419 total citations
21 papers, 306 citations indexed

About

Mauro Benedetti is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Mauro Benedetti has authored 21 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 12 papers in Computer Networks and Communications and 12 papers in Statistical and Nonlinear Physics. Recurrent topics in Mauro Benedetti's work include Chaos control and synchronization (12 papers), Nonlinear Dynamics and Pattern Formation (10 papers) and Optical Network Technologies (8 papers). Mauro Benedetti is often cited by papers focused on Chaos control and synchronization (12 papers), Nonlinear Dynamics and Pattern Formation (10 papers) and Optical Network Technologies (8 papers). Mauro Benedetti collaborates with scholars based in Italy, Spain and Germany. Mauro Benedetti's co-authors include Valerio Annovazzi-Lodi, Sabina Merlo, Michele Norgia, Cláudio R. Mirasso, Pere Colet, Giuseppe Barillaro, Michael Hamacher, Valeria Vercesi, A. Diligenti and Toni Pérez and has published in prestigious journals such as Applied Physics Letters, Optics Letters and IEEE Journal of Quantum Electronics.

In The Last Decade

Mauro Benedetti

21 papers receiving 292 citations

Author Peers

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

Author						Papers	Cites
Mauro Benedetti	181	172	160	67	63	21	306
Hugo L. D. de S. Cavalcante	167 0.9×	54 0.3×	143 0.9×	27 0.4×	59 0.9×	28	328
Salem F. Hegazy	58 0.3×	160 0.9×	30 0.2×	89 1.3×	53 0.8×	30	343
Byungchil Kim	88 0.5×	181 1.1×	108 0.7×	42 0.6×	70 1.1×	10	338
Volker Ahlers	170 0.9×	62 0.4×	212 1.3×	15 0.2×	24 0.4×	24	342
Qiming Li	80 0.4×	46 0.3×	22 0.1×	120 1.8×	160 2.5×	29	347
Xiaomin Guo	82 0.5×	104 0.6×	78 0.5×	75 1.1×	146 2.3×	35	339
Shuqing Lin	84 0.5×	196 1.1×	70 0.4×	20 0.3×	187 3.0×	23	326
Andrés Aragoneses	110 0.6×	87 0.5×	95 0.6×	10 0.1×	41 0.7×	33	310
I. Pierce	78 0.4×	113 0.7×	95 0.6×	15 0.2×	44 0.7×	40	243
Jimmi Hervé Talla Mbé	117 0.6×	208 1.2×	149 0.9×	40 0.6×	139 2.2×	39	364

Countries citing papers authored by Mauro Benedetti

Since Specialization

Citations

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

Fields of papers citing papers by Mauro Benedetti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mauro Benedetti

This figure shows the co-authorship network connecting the top 25 collaborators of Mauro Benedetti. A scholar is included among the top collaborators of Mauro Benedetti 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 Mauro Benedetti. Mauro Benedetti 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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