Fabio Previdi

1.9k total citations
164 papers, 1.5k citations indexed

About

Fabio Previdi is a scholar working on Control and Systems Engineering, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Fabio Previdi has authored 164 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Control and Systems Engineering, 35 papers in Mechanical Engineering and 32 papers in Civil and Structural Engineering. Recurrent topics in Fabio Previdi's work include Control Systems and Identification (44 papers), Fault Detection and Control Systems (44 papers) and Advanced Control Systems Optimization (20 papers). Fabio Previdi is often cited by papers focused on Control Systems and Identification (44 papers), Fault Detection and Control Systems (44 papers) and Advanced Control Systems Optimization (20 papers). Fabio Previdi collaborates with scholars based in Italy, Germany and United Kingdom. Fabio Previdi's co-authors include Sergio M. Savaresi, Mirko Mazzoleni, Marco Lovera, S. Bittanti, Thomas Schauer, Simone Formentin, Cristiano Spelta, Emanuele Carpanzano, Thomas Parisini and Kate Hunt and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and IEEE Transactions on Industrial Electronics.

In The Last Decade

Fabio Previdi

143 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fabio Previdi Italy 21 758 329 295 250 159 164 1.5k
Xingjian Wang China 26 1.1k 1.5× 951 2.9× 256 0.9× 81 0.3× 77 0.5× 137 2.1k
Yan Shi China 22 225 0.3× 482 1.5× 224 0.8× 55 0.2× 162 1.0× 119 1.3k
Takayuki Matsuno Japan 19 663 0.9× 190 0.6× 516 1.7× 25 0.1× 67 0.4× 144 1.2k
M. J. Mahjoob Iran 22 425 0.6× 314 1.0× 385 1.3× 287 1.1× 252 1.6× 106 1.6k
Amir H.D. Markazi Iran 20 567 0.7× 144 0.4× 103 0.3× 88 0.4× 38 0.2× 58 1.1k
Tatsuo Narikiyo Japan 19 1.5k 2.0× 224 0.7× 506 1.7× 40 0.2× 71 0.4× 167 2.2k
S. Di Gennaro Italy 24 1.7k 2.2× 384 1.2× 52 0.2× 182 0.7× 315 2.0× 197 2.5k
Juan Manuel Ramírez-Cortés Mexico 17 454 0.6× 270 0.8× 70 0.2× 87 0.3× 9 0.1× 90 1.1k
Jian Guo China 23 264 0.3× 410 1.2× 1.0k 3.4× 32 0.1× 53 0.3× 169 2.0k
Pengcheng Liu China 18 309 0.4× 152 0.5× 186 0.6× 43 0.2× 43 0.3× 82 878

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-authorship network of co-authors of Fabio Previdi

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Previdi. A scholar is included among the top collaborators of Fabio Previdi 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 Fabio Previdi. Fabio Previdi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Previdi, Fabio, et al.. (2025). Artificial Intelligence tool for prediction of ECM mimics hydrogel formulations via click chemistry. Biomaterials Advances. 175. 214323–214323. 9 indexed citations
2.
Previtali, Davide, et al.. (2024). Grey-box modelling and identification of the industrial oven of a shrink tunnel. IFAC-PapersOnLine. 58(15). 55–60.
3.
Previtali, Davide, et al.. (2024). Model-based design of the temperature controller of a shrink tunnel. IFAC-PapersOnLine. 58(14). 49–54.
4.
5.
Mazzoleni, Mirko, et al.. (2024). A New Physics-Informed Condition Indicator for Cost-Effective Direct Current Solenoid Valves Using Significant Points of the Excitation Current. Journal of Dynamic Systems Measurement and Control. 146(3). 1 indexed citations
6.
Sendra, Amalia Luque, Mirko Mazzoleni, Ana de las Heras, et al.. (2024). The Role of Kano Model in Revealing the Most Significant Physicochemical Properties of Wines. IEEE Access. 12. 169733–169747.
7.
Mazzoleni, Mirko, et al.. (2023). FRAN-X: An improved diagnostic transfer learning approach with application to ball bearings fault diagnosis. IFAC-PapersOnLine. 56(2). 7716–7721. 1 indexed citations
8.
Mazzoleni, Mirko, et al.. (2023). Robust data-driven design of a jamming detection filter for airborne electromechanical actuators. European Journal of Control. 75. 100926–100926. 3 indexed citations
9.
Sendra, Amalia Luque, Mirko Mazzoleni, Francisco Zamora‐Polo, et al.. (2023). Determining the Importance of Physicochemical Properties in the Perceived Quality of Wines. IEEE Access. 11. 115430–115449. 4 indexed citations
10.
Mazzoleni, Mirko, et al.. (2022). A kernel-based control approach for multi-period assets allocation based on lower partial moments. Engineering Applications of Artificial Intelligence. 110. 104659–104659. 1 indexed citations
11.
Vitali, Andrea, et al.. (2022). An agent-based model to assess large-scale COVID-19 vaccination campaigns for the Italian territory: The case study of Lombardy region. Computer Methods and Programs in Biomedicine. 224. 107029–107029. 12 indexed citations
12.
Mazzoleni, Mirko, Gianpietro Di Rito, & Fabio Previdi. (2021). Electro-Mechanical Actuators for the More Electric Aircraft. Advances in industrial control. 33 indexed citations
13.
Mazzoleni, Mirko, et al.. (2021). Inertial load classification of low-cost electro-mechanical systems under dataset shift with fast end of line testing. Engineering Applications of Artificial Intelligence. 105. 104446–104446. 7 indexed citations
14.
Mazzoleni, Mirko, et al.. (2021). Kernel-based identification of asymptotically stable continuous-time linear dynamical systems. International Journal of Control. 95(6). 1668–1681. 17 indexed citations
15.
Previdi, Fabio, et al.. (2021). A SIAT3HE model of the COVID-19 pandemic in Bergamo, Italy. IFAC-PapersOnLine. 54(15). 263–268. 1 indexed citations
16.
Mazzoleni, Mirko, et al.. (2020). A Note on the Numerical Solutions of Kernel-Based Learning Problems. IEEE Transactions on Automatic Control. 66(2). 940–947. 11 indexed citations
17.
Mazzoleni, Mirko, et al.. (2020). Data on the first endurance activity of a Brushless DC motor for aerospace applications. SHILAP Revista de lepidopterología. 29. 105153–105153. 4 indexed citations
18.
Mazzoleni, Mirko, et al.. (2019). A comparison of manifold regularization approaches for kernel-based system identification. IFAC-PapersOnLine. 52(29). 180–185. 4 indexed citations
19.
20.
Batani, D., Franco Cotelli, Fabio Previdi, et al.. (1998). Characterisation of Saccharomyces cerevisiae yeast cells. Physica Medica. 14(4). 151–157. 4 indexed citations

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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