Fabio Pasqualetti

9.4k total citations · 4 hit papers
134 papers, 6.0k citations indexed

About

Fabio Pasqualetti is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Fabio Pasqualetti has authored 134 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Computer Networks and Communications, 53 papers in Control and Systems Engineering and 25 papers in Statistical and Nonlinear Physics. Recurrent topics in Fabio Pasqualetti's work include Smart Grid Security and Resilience (34 papers), Nonlinear Dynamics and Pattern Formation (22 papers) and Neural dynamics and brain function (22 papers). Fabio Pasqualetti is often cited by papers focused on Smart Grid Security and Resilience (34 papers), Nonlinear Dynamics and Pattern Formation (22 papers) and Neural dynamics and brain function (22 papers). Fabio Pasqualetti collaborates with scholars based in United States, Italy and Netherlands. Fabio Pasqualetti's co-authors include Francesco Bullo, Florian Dörfler, Antonio Bicchi, Sandro Zampieri, Danielle S. Bassett, Vijay Gupta, Cheng-Zong Bai, Hamed Mohsenian‐Rad, Sajjad Amini and Shi Gu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Fabio Pasqualetti

129 papers receiving 5.8k citations

Hit Papers

Attack Detection and Iden... 2011 2026 2016 2021 2013 2015 2011 2014 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Fabio Pasqualetti 3.2k 2.9k 1.0k 987 959 134 6.0k
Peter J. Ramadge 1.8k 0.6× 2.1k 0.7× 1.1k 1.0× 1.2k 1.2× 452 0.5× 124 9.7k
Iven Mareels 5.8k 1.8× 1.3k 0.5× 617 0.6× 427 0.4× 1.8k 1.9× 388 9.4k
Gaoxi Xiao 1.7k 0.5× 1.4k 0.5× 394 0.4× 512 0.5× 2.1k 2.2× 249 4.7k
Alejandro Ribeiro 1.2k 0.4× 5.6k 1.9× 444 0.4× 4.1k 4.2× 3.0k 3.2× 385 9.9k
Sandra Hirche 3.4k 1.0× 1.8k 0.6× 1.0k 1.0× 696 0.7× 587 0.6× 378 6.4k
Hong Qiao 1.8k 0.6× 847 0.3× 431 0.4× 1.3k 1.3× 563 0.6× 309 5.9k
Jinhua She 8.7k 2.7× 4.0k 1.4× 226 0.2× 1.2k 1.2× 1.5k 1.6× 555 12.3k
Xiaofeng Liao 940 0.3× 5.2k 1.8× 417 0.4× 4.0k 4.0× 1.4k 1.5× 321 11.0k
Jonathon A. Chambers 618 0.2× 1.2k 0.4× 1.1k 1.0× 1.3k 1.3× 2.1k 2.2× 317 6.6k
Péter Bárányi 2.4k 0.7× 466 0.2× 229 0.2× 1.8k 1.8× 351 0.4× 258 5.1k

Countries citing papers authored by Fabio Pasqualetti

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Pasqualetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Pasqualetti

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Pasqualetti. A scholar is included among the top collaborators of Fabio Pasqualetti 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 Pasqualetti. Fabio Pasqualetti 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.
Pasqualetti, Fabio, et al.. (2024). Data-Driven Feedback Linearization Using the Koopman Generator. IEEE Transactions on Automatic Control. 69(12). 8844–8851. 7 indexed citations
2.
Oymak, Samet, et al.. (2024). A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions. Proceedings of the AAAI Conference on Artificial Intelligence. 38(11). 11866–11873.
3.
Persis, Claudio De, et al.. (2023). Data-Driven Feedback Linearization with Complete Dictionaries. University of Groningen research database (University of Groningen / Centre for Information Technology). 3037–3042. 5 indexed citations
4.
Qin, Yuzhen, Yingcong Li, Fabio Pasqualetti, Maryam Fazel, & Samet Oymak. (2023). Stochastic Contextual Bandits with Long Horizon Rewards. Proceedings of the AAAI Conference on Artificial Intelligence. 37(8). 9525–9533. 4 indexed citations
5.
Baggio, Giacomo, et al.. (2023). Distributed Data-Driven Control of Network Systems. SHILAP Revista de lepidopterología. 2. 93–107. 4 indexed citations
6.
Nobili, Alberto, Yuzhen Qin, Carlo Alberto Avizzano, Danielle S. Bassett, & Fabio Pasqualetti. (2023). Vibrational Stabilization of Complex Network Systems. arXiv (Cornell University). 1980–1985. 3 indexed citations
7.
Ashourvan, Arian, Jennifer Stiso, Kathryn A. Davis, et al.. (2021). Time-evolving controllability of effective connectivity networks during seizure progression. Proceedings of the National Academy of Sciences. 118(5). 46 indexed citations
8.
Stiso, Jennifer, Marie‐Constance Corsi, Jean M. Vettel, et al.. (2020). Learning in brain-computer interface control evidenced by joint decomposition of brain and behavior. Journal of Neural Engineering. 17(4). 46018–46018. 10 indexed citations
9.
Qin, Yuzhen, Ming Cao, Brian D. O. Anderson, Danielle S. Bassett, & Fabio Pasqualetti. (2020). Mediated Remote Synchronization of Kuramoto-Sakaguchi Oscillators: The Number of Mediators Matters. IEEE Control Systems Letters. 5(3). 767–772. 9 indexed citations
10.
Baggio, Giacomo, et al.. (2020). Conditions for Feedback Linearization of Network Systems. IEEE Control Systems Letters. 4(3). 578–583. 7 indexed citations
11.
Qin, Yuzhen, Ming Cao, Brian D. O. Anderson, Danielle S. Bassett, & Fabio Pasqualetti. (2020). Mediated Remote Synchronization: the Number of Mediators Matters. arXiv (Cornell University). 1 indexed citations
12.
Baggio, Giacomo & Fabio Pasqualetti. (2020). Learning Minimum-Energy Controls from Heterogeneous Data. Padua Research Archive (University of Padova). 7 indexed citations
13.
Pasqualetti, Fabio, et al.. (2020). Fragility Limits Performance in Complex Networks. Scientific Reports. 10(1). 1774–1774. 15 indexed citations
14.
Baggio, Giacomo, et al.. (2019). Data-Driven Minimum-Energy Controls for Linear Systems. IEEE Control Systems Letters. 3(3). 589–594. 54 indexed citations
15.
Pasqualetti, Fabio, et al.. (2019). A Fundamental Performance Limitation for Adversarial Classification. IEEE Control Systems Letters. 4(1). 169–174. 5 indexed citations
16.
Baggio, Giacomo, et al.. (2018). Stability Conditions for Cluster Synchronization in Networks of Kuramoto Oscillators.. arXiv (Cornell University). 1 indexed citations
17.
Innocenti, Mario, et al.. (2017). Synchronization Patterns in Networks of Kuramoto Oscillators: A Geometric Approach for Analysis and Control. Padua Research Archive (University of Padova). 16 indexed citations
18.
Nozari, Erfan, Fabio Pasqualetti, & Jorge Cortés. (2016). Time-Varying Actuator Scheduling in Complex Networks.. arXiv (Cornell University). 4 indexed citations
19.
Zhao, Yingbo, Fabio Pasqualetti, & Jorge Cortés. (2016). Scheduling of control nodes for improved network controllability. 1859–1864. 14 indexed citations
20.
Pasqualetti, Fabio, Sandro Zampieri, & Francesco Bullo. (2013). Controllability Metrics and Algorithms for Complex Networks.. arXiv (Cornell University). 5 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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