Fabio Previdi

1.9k citations
164 papers · 1.5k · h-index 21

Impact in

Papers in

Fabio Previdi

143 papers receiving 1.4k citations

Peers

Fabio Previdi
Comparison fields: 5 of 116
  • Control and Systems Engineering 758
  • Automotive Engineering 159
  • Civil and Structural Engineering 250
  • Mechanical Engineering 329
  • Rehabilitation 51
Replace Xingjian Wang with:
Xingjian Wang China
Joris Gillis Belgium
Yan Shi China
M. J. Mahjoob Iran
Maxime Gautier France
Tatsuo Narikiyo Japan
Wisama Khalil France
Goele Pipeleers Belgium
József Kövecses Canada
G. Chong United Kingdom
Fabio Previdi relative to Xingjian Wang China Xingjian Wang's profile →
Citations per field
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Xingjian Wang · 1×
Citations per year

Countries citing papers authored by Fabio Previdi

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Previdi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fabio Previdi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fabio Previdi Line = papers co-authored together Fabio Previdi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 164 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004120
2 2008101
3 200483
4 200451
5 200347
6 200442
7 200241
8 201740
9 201037
10 200336
11 200434
12 200534
13 202133
14 200528
15 201924
16 199924
17 201722
18 200522
19 200321
20 201620

About Fabio Previdi

Fabio Previdi is a scholar working on Control and Systems Engineering, Mechanical Engineering, Civil and Structural Engineering, Biomedical Engineering and Artificial Intelligence, having authored 164 papers that have together received 1.5k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (44 papers), Control Systems and Identification (44 papers), Advanced Control Systems Optimization (20 papers), Hydraulic and Pneumatic Systems (20 papers), Machine Fault Diagnosis Techniques (15 papers), Muscle activation and electromyography studies (15 papers), Structural Health Monitoring Techniques (13 papers) and Neural Networks and Applications (10 papers). The work is most often cited by research in Control and Systems Engineering (758 citations), Automotive Engineering (159 citations), Civil and Structural Engineering (250 citations), Mechanical Engineering (329 citations) and Rehabilitation (51 citations). Fabio Previdi has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include Sergio M. Savaresi, Mirko Mazzoleni, Marco Lovera, Thomas Schauer, S. Bittanti, Simone Formentin, Cristiano Spelta, Emanuele Carpanzano, Thomas Parisini and Kate Hunt. Their work appears in journals such as Control Engineering Practice, Mechatronics, IFAC-PapersOnLine, IEEE Access and International Journal of Control.

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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