Lalo Magni

10.6k total citations
181 papers, 7.1k citations indexed

About

Lalo Magni is a scholar working on Control and Systems Engineering, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Lalo Magni has authored 181 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Control and Systems Engineering, 56 papers in Endocrinology, Diabetes and Metabolism and 45 papers in Surgery. Recurrent topics in Lalo Magni's work include Advanced Control Systems Optimization (97 papers), Fault Detection and Control Systems (67 papers) and Diabetes Management and Research (56 papers). Lalo Magni is often cited by papers focused on Advanced Control Systems Optimization (97 papers), Fault Detection and Control Systems (67 papers) and Diabetes Management and Research (56 papers). Lalo Magni collaborates with scholars based in Italy, United States and Germany. Lalo Magni's co-authors include Riccardo Scattolini, Giuseppe De Nicolao, Davide M. Raimondo, Claudio Cobelli, Chiara Dalla Man, Boris Kovatchev, Chiara Toffanin, Antonella Ferrara, Gian Paolo Incremona and Mirko Messori and has published in prestigious journals such as Diabetes Care, IEEE Transactions on Automatic Control and Diabetes.

In The Last Decade

Lalo Magni

178 papers receiving 6.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lalo Magni Italy 44 3.9k 2.5k 2.1k 1.5k 676 181 7.1k
B. Wayne Bequette United States 39 2.6k 0.7× 2.3k 0.9× 1.9k 0.9× 1.3k 0.9× 219 0.3× 175 5.7k
Dale E. Seborg United States 50 5.5k 1.4× 1.2k 0.5× 890 0.4× 648 0.4× 286 0.4× 240 7.5k
John Bagterp Jørgensen Denmark 32 1.7k 0.5× 723 0.3× 557 0.3× 413 0.3× 884 1.3× 268 3.6k
Niels Kjølstad Poulsen Denmark 36 2.8k 0.7× 494 0.2× 387 0.2× 332 0.2× 1.5k 2.2× 245 5.6k
Luigi del Re Austria 29 1.9k 0.5× 591 0.2× 375 0.2× 279 0.2× 400 0.6× 284 3.6k
Tyrone Fernando Australia 40 2.6k 0.7× 449 0.2× 290 0.1× 156 0.1× 2.6k 3.8× 259 5.1k
Josep Vehı́ Spain 29 434 0.1× 1.6k 0.6× 854 0.4× 710 0.5× 93 0.1× 159 2.8k
Ricardo Sánchez‐Peña Argentina 25 1.0k 0.3× 338 0.1× 315 0.1× 224 0.1× 569 0.8× 108 2.4k
Daniel U. Campos‐Delgado Mexico 23 882 0.2× 282 0.1× 281 0.1× 127 0.1× 951 1.4× 177 2.2k
Dawei Shi China 29 2.2k 0.6× 153 0.1× 159 0.1× 100 0.1× 462 0.7× 182 3.4k

Countries citing papers authored by Lalo Magni

Since Specialization
Citations

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

Fields of papers citing papers by Lalo Magni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lalo Magni

This figure shows the co-authorship network connecting the top 25 collaborators of Lalo Magni. A scholar is included among the top collaborators of Lalo Magni 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 Lalo Magni. Lalo Magni 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.
Magni, Lalo, et al.. (2024). Recurrent Equilibrium Network models for Nonlinear Model Predictive Control. IFAC-PapersOnLine. 58(18). 226–231. 1 indexed citations
2.
Magni, Lalo, et al.. (2023). Robust constrained nonlinear Model Predictive Control with Gated Recurrent Unit model. Automatica. 161. 111472–111472. 10 indexed citations
3.
Toffanin, Chiara, et al.. (2023). Personalized LSTM-based alarm systems for hypoglycemia prevention. 1016–1021. 2 indexed citations
4.
Toffanin, Chiara, Lalo Magni, & Claudio Cobelli. (2021). Artificial Pancreas: In Silico Study Shows No Need of Meal Announcement and Improved Time in Range of Glucose With Intraperitoneal vs. Subcutaneous Insulin Delivery. IEEE Transactions on Medical Robotics and Bionics. 3(2). 306–314. 19 indexed citations
5.
Messori, Mirko, Jort Kropff, Simone Del Favero, et al.. (2017). Individually Adaptive Artificial Pancreas in Subjects with Type 1 Diabetes: A One-Month Proof-of-Concept Trial in Free-Living Conditions. Diabetes Technology & Therapeutics. 19(10). 560–571. 43 indexed citations
6.
Torchio, Marcello, Carlos Ocampo‐Martínez, Lalo Magni, et al.. (2016). Fast Model Predictive Control for hydrogen outflow regulation in Ethanol Steam Reformers. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 5044–5049. 5 indexed citations
7.
Farina, Marcello, Luca Giulioni, Lalo Magni, & Riccardo Scattolini. (2015). An approach to output-feedback MPC of stochastic linear discrete-time systems. Automatica. 55. 140–149. 89 indexed citations
8.
Favero, Simone Del, Daniela Bruttomesso, Federico Di Palma, et al.. (2014). First Use of Model Predictive Control in Outpatient Wearable Artificial Pancreas. Diabetes Care. 37(5). 1212–1215. 76 indexed citations
9.
Sannino, Roberto, et al.. (2013). Embedded implementation of modular closed-loop control of diabetes and in silico validation. 59. 512–517. 1 indexed citations
10.
Magni, Lalo, Davide M. Raimondo, & Frank Allgöwer. (2009). Nonlinear model predictive control : towards new challenging applications. Springer eBooks. 164 indexed citations
11.
Cobelli, Claudio, Chiara Dalla Man, Giovanni Sparacino, et al.. (2009). Diabetes: Models, Signals, and Control. IEEE Reviews in Biomedical Engineering. 2. 54–96. 370 indexed citations
12.
Franco, Elisa, et al.. (2008). Cooperative Constrained Control of Distributed Agents With Nonlinear Dynamics and Delayed Information Exchange: A Stabilizing Receding-Horizon Approach. IEEE Transactions on Automatic Control. 53(1). 324–338. 132 indexed citations
13.
Magni, Lalo, et al.. (2004). A multi-model structure for model predictive control. Annual Reviews in Control. 28. 47–52. 1 indexed citations
14.
Magni, Lalo & Riccardo Scattolini. (2002). State-feedback MPC with piecewise constant control for continuous-time systems. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 4625–4630. 9 indexed citations
15.
Magni, Lalo, Henk Nijmeijer, & Arjan van der Schaft. (2001). A receding–horizon approach to the nonlinear H∞ control problem. Automatica. 37(3). 429–435. 67 indexed citations
16.
Grognard, Frédéric, et al.. (2001). Robust global state feedback stabilization of cement mills. Open Repository and Bibliography (University of Liège). 1 indexed citations
17.
Magni, Lalo, Giuseppe De Nicolao, Lorenzo Magnani, & Riccardo Scattolini. (2001). A stabilizing model-based predictive control algorithm for nonlinear systems. Automatica. 37(9). 1351–1362. 268 indexed citations
18.
Magni, Lalo, Giuseppe De Nicolao, & Riccardo Scattolini. (1999). Some Issues in the Design of Predictive Controllers. International Journal of Applied Mathematics and Computer Science. 9(1). 9–24. 3 indexed citations
19.
Nicolao, Giuseppe De, Lalo Magni, & Riccardo Scattolini. (1999). Robustness of receding horizon control for nonlinear discrete-time systems.. Lecture notes in control and information sciences. 408–421. 3 indexed citations
20.
Nicolao, Giuseppe De, Lalo Magni, & Riccardo Scattolini. (1996). On the robustness of receding-horizon control with terminal constraints. IEEE Transactions on Automatic Control. 41(3). 451–453. 61 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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