Thomas Parisini

9.2k total citations · 3 hit papers
353 papers, 6.7k citations indexed

About

Thomas Parisini is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Thomas Parisini has authored 353 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 286 papers in Control and Systems Engineering, 74 papers in Artificial Intelligence and 71 papers in Computer Networks and Communications. Recurrent topics in Thomas Parisini's work include Fault Detection and Control Systems (148 papers), Advanced Control Systems Optimization (110 papers) and Control Systems and Identification (108 papers). Thomas Parisini is often cited by papers focused on Fault Detection and Control Systems (148 papers), Advanced Control Systems Optimization (110 papers) and Control Systems and Identification (108 papers). Thomas Parisini collaborates with scholars based in Italy, United Kingdom and Cyprus. Thomas Parisini's co-authors include Marios M. Polycarpou, R. Zoppoli, Gilberto Pin, Francesca Boem, Xiaodong Zhang, Xiaodong Zhang, Riccardo Ferrari, Xiaowei Zhang, Christodoulos Keliris and Giancarlo Ferrari‐Trecate and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Automatic Control and Automatica.

In The Last Decade

Thomas Parisini

321 papers receiving 6.5k citations

Hit Papers

A robust detection and isolation scheme for abrupt and in... 2002 2026 2010 2018 2002 2004 2010 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Parisini Italy 40 5.2k 1.4k 1.0k 944 475 353 6.7k
Riccardo Scattolini Italy 41 6.4k 1.2× 969 0.7× 518 0.5× 1.2k 1.3× 367 0.8× 253 7.5k
Quanmin Zhu United Kingdom 41 3.6k 0.7× 560 0.4× 1.0k 1.0× 596 0.6× 476 1.0× 304 4.8k
Victor Sreeram Australia 32 2.4k 0.5× 826 0.6× 878 0.9× 2.1k 2.2× 564 1.2× 284 5.1k
Fei Liu China 50 6.0k 1.1× 2.6k 1.9× 1.6k 1.6× 883 0.9× 419 0.9× 465 8.4k
Xiaojie Su China 42 6.2k 1.2× 3.0k 2.2× 1.0k 1.0× 907 1.0× 329 0.7× 178 7.6k
Giancarlo Ferrari‐Trecate Italy 36 4.9k 0.9× 2.0k 1.5× 611 0.6× 1.7k 1.8× 185 0.4× 181 6.6k
K. Khorasani Canada 54 6.5k 1.2× 2.2k 1.6× 1.4k 1.4× 1.0k 1.1× 1.1k 2.3× 433 9.5k
Michael Basin Mexico 44 5.8k 1.1× 2.2k 1.6× 1.1k 1.0× 511 0.5× 307 0.6× 334 6.9k
Sing Kiong Nguang New Zealand 52 6.5k 1.2× 3.3k 2.4× 1.1k 1.1× 1.1k 1.1× 340 0.7× 334 8.7k
Colin N. Jones Switzerland 40 5.0k 1.0× 537 0.4× 511 0.5× 2.0k 2.1× 491 1.0× 262 7.6k

Countries citing papers authored by Thomas Parisini

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Parisini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Parisini

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Parisini. A scholar is included among the top collaborators of Thomas Parisini 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 Thomas Parisini. Thomas Parisini 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.
Liu, Changxin, et al.. (2025). Constrained Optimization With Decision-Dependent Distributions. IEEE Transactions on Automatic Control. 70(8). 5176–5189.
2.
Parisini, Thomas, et al.. (2025). Deviation Between Team-Optimal Solution and Nash Equilibrium in Flow Assignment Problems. VBN Forskningsportal (Aalborg Universitet). 6851–6856. 2 indexed citations
3.
Bin, Michelangelo, Ivano Notarnicola, & Thomas Parisini. (2024). Semiglobal exponential stability of the discrete-time Arrow-Hurwicz-Uzawa primal-dual algorithm for constrained optimization. Mathematical Programming. 208(1-2). 629–660.
4.
Bin, Michelangelo, et al.. (2024). A Generalized Passivity Theory Over Abstract Time Domains. IEEE Transactions on Automatic Control. 70(1). 2–17. 6 indexed citations
6.
Parisini, Thomas & Alessandro Astolfi. (2024). David Quinn Mayne, 1930–2024 [Obituary]. IEEE Control Systems. 44(5). 142–C3.
7.
Formentin, Simone, et al.. (2024). Automated Data-Driven Tuning of Learning-Based Model Predictive Control (SelfMPC): A Maximum-Likelihood Approach. Aisberg (University of Bergamo). 104–109.
8.
Bin, Michelangelo, et al.. (2023). Kernel-Based Identification of Incrementally Input-to-State Stable Nonlinear Systems. IFAC-PapersOnLine. 56(2). 5127–5132.
9.
Zhang, Kangkang, Christodoulos Keliris, Thomas Parisini, Bin Jiang, & Marios M. Polycarpou. (2023). Passive Attack Detection for a Class of Stealthy Intermittent Integrity Attacks. IEEE/CAA Journal of Automatica Sinica. 10(4). 898–915. 12 indexed citations
10.
Teng, Fei, et al.. (2022). Cyber–physical risk assessment for false data injection attacks considering moving target defences. International Journal of Information Security. 22(3). 579–589. 8 indexed citations
11.
Parisini, Thomas, et al.. (2021). IEEE Control Systems Society. IEEE Transactions on Automatic Control. 66(5). C3–C3.
12.
Bin, Michelangelo, Peter Y. K. Cheung, Emanuele Crisostomi, et al.. (2021). Post-lockdown abatement of COVID-19 by fast periodic switching. PLoS Computational Biology. 17(1). e1008604–e1008604. 37 indexed citations
13.
Anagnostou, Georgios, Francesca Boem, Stefanie Kuenzel, Bikash C. Pal, & Thomas Parisini. (2018). Observer-Based Anomaly Detection of Synchronous Generators for Power Systems Monitoring. IEEE Transactions on Power Systems. 33(4). 4228–4237. 42 indexed citations
14.
Pin, Gilberto, et al.. (2018). Non-asymptotic numerical differentiation: a kernel-based approach. International Journal of Control. 91(9). 2090–2099. 6 indexed citations
15.
Pin, Gilberto, et al.. (2018). Deadbeat Source Localization From Range-Only Measurements: A Robust Kernel-Based Approach. IEEE Transactions on Control Systems Technology. 27(3). 923–933. 13 indexed citations
16.
Fedele, Giuseppe, Luigi D’Alfonso, Gilberto Pin, & Thomas Parisini. (2017). Volterra’s kernels-based finite-time parameters estimation of the Chua system. Applied Mathematics and Computation. 318. 121–130. 4 indexed citations
17.
Ascencio, Pedro, Alessandro Astolfi, & Thomas Parisini. (2017). Backstepping PDE Design: A Convex Optimization Approach. IEEE Transactions on Automatic Control. 63(7). 1943–1958. 16 indexed citations
18.
Culverhouse, Phil, Ryan J. Ellis, R. Williams, et al.. (2002). Dinoflagellate categorization by artificial neural network.. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). 43. 39–46. 7 indexed citations
19.
Baglietto, Marco, Thomas Parisini, & R. Zoppoli. (1998). Neural networks for the solution of information-distributed optimal control problems.. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). 79–84. 1 indexed citations
20.
Parisini, Thomas & R. Zoppoli. (1993). Team theory and neural networks for dynamic routing in traffic and communication networks. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). 8 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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