Michael Cantoni

1.9k total citations
130 papers, 1.3k citations indexed

About

Michael Cantoni is a scholar working on Control and Systems Engineering, Civil and Structural Engineering and Numerical Analysis. According to data from OpenAlex, Michael Cantoni has authored 130 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Control and Systems Engineering, 24 papers in Civil and Structural Engineering and 15 papers in Numerical Analysis. Recurrent topics in Michael Cantoni's work include Stability and Control of Uncertain Systems (61 papers), Control Systems and Identification (37 papers) and Advanced Control Systems Optimization (35 papers). Michael Cantoni is often cited by papers focused on Stability and Control of Uncertain Systems (61 papers), Control Systems and Identification (37 papers) and Advanced Control Systems Optimization (35 papers). Michael Cantoni collaborates with scholars based in Australia, United Kingdom and Sweden. Michael Cantoni's co-authors include Erik Weyer, Iven Mareels, Su Ki Ooi, Yuping Li, Pierluigi Mancarella, Yuping Li, Matthew J. Ryan, Han Wang, Lorenzo Ntogramatzidis and Girish N. Nair and has published in prestigious journals such as IEEE Transactions on Automatic Control, Proceedings of the IEEE and Automatica.

In The Last Decade

Michael Cantoni

120 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Cantoni Australia 18 791 337 222 181 117 130 1.3k
Erik Weyer Australia 25 1.0k 1.3× 982 2.9× 102 0.5× 432 2.4× 275 2.4× 152 2.1k
R. Rivas-Pérez Cuba 16 625 0.8× 195 0.6× 357 1.6× 109 0.6× 29 0.2× 67 1.2k
Xunyuan Yin Canada 22 991 1.3× 85 0.3× 161 0.7× 53 0.3× 21 0.2× 102 1.4k
Mohammad Khajehzadeh Iran 27 248 0.3× 512 1.5× 498 2.2× 14 0.1× 42 0.4× 80 1.5k
Diego Patiño Colombia 16 368 0.5× 46 0.1× 518 2.3× 33 0.2× 26 0.2× 98 989
Shu Li China 19 850 1.1× 83 0.2× 121 0.5× 10 0.1× 37 0.3× 72 1.3k
Fernando A. C. C. Fontes Portugal 14 453 0.6× 18 0.1× 85 0.4× 25 0.1× 51 0.4× 82 759
Vilma A. Oliveira Brazil 16 633 0.8× 28 0.1× 150 0.7× 9 0.0× 9 0.1× 100 845
Soo Hee Han South Korea 11 413 0.5× 68 0.2× 177 0.8× 7 0.0× 16 0.1× 26 718

Countries citing papers authored by Michael Cantoni

Since Specialization
Citations

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

Fields of papers citing papers by Michael Cantoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Cantoni

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Cantoni. A scholar is included among the top collaborators of Michael Cantoni 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 Michael Cantoni. Michael Cantoni 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.
Khong, Sei Zhen, Michael Cantoni, Shinji Hara, & Chung‐Yao Kao. (2024). Robust Feedback Instability Analysis in the ${\mathscr {L}}_{2}$-Gap. IEEE Transactions on Automatic Control. 69(11). 7816–7823.
2.
Cantoni, Michael, et al.. (2024). Structured Stability Analysis of Networked Systems with Uncertain Links. 1222–1227.
3.
Wang, Han, et al.. (2021). Co-Optimizing Virtual Power Plant Services Under Uncertainty: A Robust Scheduling and Receding Horizon Dispatch Approach. IEEE Transactions on Power Systems. 36(5). 3960–3972. 92 indexed citations
4.
Wang, Han, et al.. (2020). Optimization of multi-energy virtual power plants for providing multiple market and local network services. Electric Power Systems Research. 189. 106775–106775. 61 indexed citations
5.
Cantoni, Michael, et al.. (2018). Stability of aperiodic sampled-data feedback for systems with inputs that update asynchronously. 1 indexed citations
6.
Cantoni, Michael, et al.. (2018). Stability of Aperiodic Sampled-Data Feedback for Systems with Inputs that Update Asynchronously. 7118–7123. 1 indexed citations
7.
Farokhi, Farhad & Michael Cantoni. (2015). Distributed negotiation for scheduling smart appliances. 111. 1 indexed citations
8.
Farokhi, Farhad, Iman Shames, & Michael Cantoni. (2015). Optimal Contract Design for Information Acquisition and Sensing.. arXiv (Cornell University). 1 indexed citations
9.
Kao, Chung‐Yao & Michael Cantoni. (2015). Robust performance analysis of aperiodic sampled-data feedback control systems. 1421–1426. 6 indexed citations
10.
Khong, Sei Zhen & Michael Cantoni. (2014). Gap metrics for time-varying linear systems in a continuous-time setting. Systems & Control Letters. 70. 118–126. 9 indexed citations
11.
Farhadi, Alireza, Michael Cantoni, & Peter M. Dower. (2013). Computation time analysis of a distributed optimization algorithm applied to automated irrigation networks. 2193–2199. 3 indexed citations
12.
Cantoni, Michael, et al.. (2012). A 2-D Roesser model for automated irrigation channels and tools for practical stability and performance analysis. 48–53. 2 indexed citations
13.
Kearney, Michael & Michael Cantoni. (2012). MPC-based reference management for automated irrigation channels. Queensland's institutional digital repository (The University of Queensland). 349–354. 9 indexed citations
14.
Farhadi, Alireza, Michael Cantoni, & Peter M. Dower. (2012). Performance and information pattern trade-offs in a consensus based distributed optimization method. 373–380. 1 indexed citations
15.
Kearney, Michael, Michael Cantoni, & Peter M. Dower. (2011). Non-iterative distributed MPC for large-scale irrigation channels. Queensland's institutional digital repository (The University of Queensland). 217–223. 2 indexed citations
16.
Kearney, Michael, Peter M. Dower, & Michael Cantoni. (2011). Model predictive control for flood mitigation: A Wivenhoe Dam case study. Queensland's institutional digital repository (The University of Queensland). 290–296. 6 indexed citations
17.
Cantoni, Michael, et al.. (2011). Validating an approach to distributed controller synthesis for irrigation channels via simulation with a PDE model. 475–480. 2 indexed citations
18.
Cantoni, Michael & Henrik Sandberg. (2009). Computing the L2 gain for linear periodic continuous-time systems. Automatica. 45(3). 783–789. 7 indexed citations
19.
Cantoni, Michael, Erik Weyer, Yuping Li, et al.. (2007). Control of large-scale irrigation networks : With sensors, actuators, information processing and communications, open-water channels regulated by gates can be modeled and managed by optimal closed-loop control. Proceedings of the IEEE. 95(1). 75–91. 1 indexed citations
20.
Cantoni, Michael, et al.. (2004). Design of a centralized controller for an irrigation channel using H loop-shaping. Minerva Access (University of Melbourne). 13 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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