Roberto Diversi

125 total papers · 1.0k total citations
80 papers, 747 citations indexed

About

Roberto Diversi is a scholar working on Control and Systems Engineering, Civil and Structural Engineering and Signal Processing. According to data from OpenAlex, Roberto Diversi has authored 80 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Control and Systems Engineering, 15 papers in Civil and Structural Engineering and 14 papers in Signal Processing. Recurrent topics in Roberto Diversi's work include Control Systems and Identification (48 papers), Fault Detection and Control Systems (29 papers) and Structural Health Monitoring Techniques (15 papers). Roberto Diversi is often cited by papers focused on Control Systems and Identification (48 papers), Fault Detection and Control Systems (29 papers) and Structural Health Monitoring Techniques (15 papers). Roberto Diversi collaborates with scholars based in Italy, France and Switzerland. Roberto Diversi's co-authors include Roberto Guidorzi, Umberto Soverini, Andrea Tilli, Andrea Bartolini, Éric Grivel, Luca Benini, Loris Vincenzi, Francesco Beneventi, Claudio Mazzotti and Torsten Söderström and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Industrial Electronics.

In The Last Decade

Roberto Diversi

79 papers receiving 725 citations

Author Peers

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

Author Last Decade Papers Cites
Roberto Diversi 478 202 130 116 111 80 747
Håvard Vold 360 0.8× 239 1.2× 45 0.3× 20 0.2× 125 1.1× 38 750
Biqiang Mu 472 1.0× 187 0.9× 32 0.2× 15 0.1× 88 0.8× 57 729
Sergei V. Gusev 527 1.1× 58 0.3× 49 0.4× 29 0.3× 71 0.6× 42 741
H.A. Barker 442 0.9× 185 0.9× 65 0.5× 9 0.1× 63 0.6× 55 620
Junxia Ma 557 1.2× 148 0.7× 105 0.8× 7 0.1× 109 1.0× 61 883
Ai Hui Tan 582 1.2× 227 1.1× 37 0.3× 8 0.1× 86 0.8× 95 807
Soon‐Yi Wu 140 0.3× 59 0.3× 33 0.3× 69 0.6× 183 1.6× 69 841
Martin Enqvist 556 1.2× 212 1.0× 19 0.1× 9 0.1× 65 0.6× 60 727
ING-RONG HORNG 425 0.9× 42 0.2× 15 0.1× 43 0.4× 43 0.4× 52 652
Branko Kovačević 376 0.8× 85 0.4× 108 0.8× 6 0.1× 107 1.0× 82 851

Countries citing papers authored by Roberto Diversi

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Diversi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Diversi

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