Mauro Leoncini

135 total papers · 1.4k total citations
91 papers, 837 citations indexed

About

Mauro Leoncini is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Mauro Leoncini has authored 91 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Electrical and Electronic Engineering, 18 papers in Computer Networks and Communications and 18 papers in Computational Theory and Mathematics. Recurrent topics in Mauro Leoncini's work include Advanced DC-DC Converters (19 papers), Matrix Theory and Algorithms (9 papers) and Mobile Ad Hoc Networks (8 papers). Mauro Leoncini is often cited by papers focused on Advanced DC-DC Converters (19 papers), Matrix Theory and Algorithms (9 papers) and Mobile Ad Hoc Networks (8 papers). Mauro Leoncini collaborates with scholars based in Italy, United States and Israel. Mauro Leoncini's co-authors include Paolo Santi, Giovanni Resta, Douglas M. Blough, Salvatore Levantino, Massimo Ghioni, Bruno Codenotti, Giacomo Langfelder, G. Biffi Gentili, Manuela Montangero and Andrea Bonfanti and has published in prestigious journals such as Journal of Hazardous Materials, IEEE Transactions on Industrial Electronics and IEEE Transactions on Power Electronics.

In The Last Decade

Mauro Leoncini

82 papers receiving 782 citations

Author Peers

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

Author Last Decade Papers Cites
Mauro Leoncini 425 330 126 79 44 91 837
Lei Liu 285 0.7× 382 1.2× 41 0.3× 54 0.7× 28 0.6× 75 955
Yu Qin 189 0.4× 360 1.1× 114 0.9× 74 0.9× 18 0.4× 115 706
Huan Ma 119 0.3× 726 2.2× 66 0.5× 43 0.5× 57 1.3× 87 950
Airlie Chapman 618 1.5× 241 0.7× 34 0.3× 77 1.0× 40 0.9× 68 1.0k
Paolo Pagano 283 0.7× 288 0.9× 80 0.6× 39 0.5× 82 1.9× 73 782
D.E. Dodds 126 0.3× 470 1.4× 147 1.2× 86 1.1× 58 1.3× 65 704
Peng Bai 216 0.5× 227 0.7× 76 0.6× 21 0.3× 30 0.7× 109 1.1k
Zhuo Wang 127 0.3× 647 2.0× 219 1.7× 30 0.4× 103 2.3× 77 895
Zhijun Tang 183 0.4× 428 1.3× 128 1.0× 26 0.3× 199 4.5× 91 1.0k
Mohamed R. M. Rizk 319 0.8× 451 1.4× 68 0.5× 23 0.3× 23 0.5× 131 859

Countries citing papers authored by Mauro Leoncini

Since Specialization
Citations

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

Fields of papers citing papers by Mauro Leoncini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mauro Leoncini

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