Mario Silvagni

51 total papers · 683 total citations
29 papers, 460 citations indexed

About

Mario Silvagni is a scholar working on Control and Systems Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Mario Silvagni has authored 29 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Control and Systems Engineering, 9 papers in Mechanical Engineering and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Mario Silvagni's work include Magnetic Bearings and Levitation Dynamics (18 papers), Tribology and Lubrication Engineering (7 papers) and Vibration Control and Rheological Fluids (5 papers). Mario Silvagni is often cited by papers focused on Magnetic Bearings and Levitation Dynamics (18 papers), Tribology and Lubrication Engineering (7 papers) and Vibration Control and Rheological Fluids (5 papers). Mario Silvagni collaborates with scholars based in Italy, Germany and Canada. Mario Silvagni's co-authors include Andrea Tonoli, Marcello Chiaberge, Enrico Zenerino, Giancarlo Genta, Angelo Bonfitto, Nicola Amati, Amir Khajepour, Ahmad Mozaffari, S. Carabelli and R Antonini and has published in prestigious journals such as Journal of Applied Mechanics, Energies and Journal of Dynamic Systems Measurement and Control.

In The Last Decade

Mario Silvagni

26 papers receiving 432 citations

Hit Papers

Multipurpose UAV for sear... 2016 2026 2019 2022 2016 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Mario Silvagni 194 143 113 97 77 29 460
Sanjiv Sharma 253 1.3× 135 0.9× 138 1.2× 51 0.5× 52 0.7× 32 550
Sedat Dogru 137 0.7× 78 0.5× 170 1.5× 71 0.7× 98 1.3× 32 424
Giuseppe Del Core 261 1.3× 109 0.8× 89 0.8× 72 0.7× 57 0.7× 38 495
Chun-Chi Lai 117 0.6× 109 0.8× 155 1.4× 111 1.1× 60 0.8× 32 481
Xiaolei Hou 139 0.7× 113 0.8× 123 1.1× 48 0.5× 120 1.6× 50 423
Cuong C. Quach 179 0.9× 118 0.8× 55 0.5× 109 1.1× 41 0.5× 28 471
Stanley Baek 251 1.3× 80 0.6× 124 1.1× 119 1.2× 43 0.6× 23 487
Fengchi Sun 180 0.9× 127 0.9× 265 2.3× 83 0.9× 33 0.4× 49 426
Wenjie Li 144 0.7× 143 1.0× 77 0.7× 79 0.8× 57 0.7× 18 419
Josip Kasać 76 0.4× 238 1.7× 58 0.5× 109 1.1× 148 1.9× 68 533

Countries citing papers authored by Mario Silvagni

Since Specialization
Citations

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

Fields of papers citing papers by Mario Silvagni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Silvagni

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