Carlo Novara

3.2k total citations
166 papers, 2.1k citations indexed

About

Carlo Novara is a scholar working on Control and Systems Engineering, Aerospace Engineering and Civil and Structural Engineering. According to data from OpenAlex, Carlo Novara has authored 166 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Control and Systems Engineering, 26 papers in Aerospace Engineering and 22 papers in Civil and Structural Engineering. Recurrent topics in Carlo Novara's work include Control Systems and Identification (84 papers), Fault Detection and Control Systems (59 papers) and Advanced Control Systems Optimization (41 papers). Carlo Novara is often cited by papers focused on Control Systems and Identification (84 papers), Fault Detection and Control Systems (59 papers) and Advanced Control Systems Optimization (41 papers). Carlo Novara collaborates with scholars based in Italy, United States and Netherlands. Carlo Novara's co-authors include M. Milanese, Mario Milanese, Giuseppe C. Calafiore, Corrado Possieri, M. Canale, Lorenzo Fagiano, Luigi Colangelo, Kameshwar Poolla, Kenneth Hsu and Fredy Ruíz and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and Applied Energy.

In The Last Decade

Carlo Novara

150 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carlo Novara Italy 24 1.2k 328 321 257 251 166 2.1k
Paolo Bolzern Italy 26 2.1k 1.7× 290 0.9× 134 0.4× 149 0.6× 126 0.5× 133 2.8k
Haijun Peng China 31 1.1k 0.9× 216 0.7× 605 1.9× 691 2.7× 79 0.3× 175 2.8k
Nan‐jing Huang China 34 371 0.3× 159 0.5× 824 2.6× 97 0.4× 290 1.2× 363 4.9k
Shaopu Yang China 34 1.6k 1.3× 499 1.5× 1.6k 5.1× 1.8k 6.9× 485 1.9× 202 4.0k
A.Y.T. Leung Hong Kong 29 838 0.7× 103 0.3× 1.1k 3.5× 432 1.7× 203 0.8× 137 2.6k
Carl F. Lorenzo United States 22 1.2k 1.0× 52 0.2× 166 0.5× 107 0.4× 1.5k 6.2× 94 2.5k
R.F. Escobar-Jiménez Mexico 30 814 0.7× 194 0.6× 123 0.4× 308 1.2× 1.4k 5.7× 111 2.7k
Pankaj Wahi India 22 306 0.2× 172 0.5× 345 1.1× 629 2.4× 73 0.3× 124 1.7k
Vahid Johari Majd Iran 22 947 0.8× 60 0.2× 127 0.4× 171 0.7× 147 0.6× 116 1.9k
Beibei Xu China 28 782 0.6× 54 0.2× 433 1.3× 409 1.6× 98 0.4× 91 2.2k

Countries citing papers authored by Carlo Novara

Since Specialization
Citations

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

Fields of papers citing papers by Carlo Novara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlo Novara

This figure shows the co-authorship network connecting the top 25 collaborators of Carlo Novara. A scholar is included among the top collaborators of Carlo Novara 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 Carlo Novara. Carlo Novara 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.
Canuto, Enrico, Daniele Mazza, & Carlo Novara. (2024). A Second-order Dynamic Model of the Mean Global Carbon Cycle. IFAC-PapersOnLine. 58(2). 86–91. 2 indexed citations
2.
Novara, Carlo, et al.. (2024). Set Membership identification for NMPC complexity reduction. IFAC-PapersOnLine. 58(15). 217–222.
3.
Novara, Carlo, et al.. (2024). Autonomous Lunar rendezvous trajectory planning and control using nonlinear MPC and Pontryagin’s principle. CINECA IRIS Institutial research information system (University of Pisa). 30. 100282–100282. 1 indexed citations
4.
Mammarella, Martina, et al.. (2024). One-shot backpropagation for multi-step prediction in physics-based system identification. IFAC-PapersOnLine. 58(15). 271–276. 3 indexed citations
5.
Grzymisch, J., et al.. (2024). Drag-Free and Attitude Control System for the LISA Space Mission: An H Constrained Decoupling Approach. IEEE Transactions on Control Systems Technology. 32(6). 2149–2163. 1 indexed citations
7.
Novara, Carlo, Daniele Mazza, & Enrico Canuto. (2023). Land/ocean absorption dynamics and airborne projection of carbon dioxide under finite fossil-fuel reserves. IFAC-PapersOnLine. 56(2). 8302–8307. 1 indexed citations
8.
Novara, Carlo, et al.. (2022). A penalty function approach to constrained Pontryagin-based Nonlinear Model Predictive Control. 2022 IEEE 61st Conference on Decision and Control (CDC). 3705–3710. 6 indexed citations
9.
Calafiore, Giuseppe C., Carlo Novara, & Corrado Possieri. (2020). A Modified SIR Model for the COVID-19 Contagion in Italy. Cineca Institutional Research Information System (Tor Vergata University). 101 indexed citations
10.
Laleg‐Kirati, Taous‐Meriem, et al.. (2019). Sparse Reconstruction of Glucose Fluxes Using Continuous Glucose Monitors. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 17(5). 1797–1809. 4 indexed citations
11.
Novara, Carlo, Ivana Rabbone, & Davide Tinti. (2019). Data-Driven Disturbance Estimation and Control With Application to Blood Glucose Regulation. IEEE Transactions on Control Systems Technology. 28(1). 48–62. 6 indexed citations
12.
Novara, Carlo & Simone Formentin. (2017). Data-Driven Inversion-Based Control of Nonlinear Systems With Guaranteed Closed-Loop Stability. IEEE Transactions on Automatic Control. 63(4). 1147–1154. 15 indexed citations
13.
Huang, Congzhi, Enrico Canuto, & Carlo Novara. (2017). The four-tank control problem: Comparison of two disturbance rejection control solutions. ISA Transactions. 71(Pt 2). 252–271. 16 indexed citations
14.
Novara, Carlo, Simone Formentin, Sergio M. Savaresi, & Mario Milanese. (2016). Data-driven design of two degree-of-freedom nonlinear controllers: The D2-IBC approach. Automatica. 72. 19–27. 32 indexed citations
15.
Novara, Carlo. (2015). Direct Design of Discrete-Time LPV Feedback Controllers. IEEE Transactions on Automatic Control. 60(10). 2819–2824. 1 indexed citations
16.
Formentin, Simone, Carlo Novara, Sergio M. Savaresi, & Mario Milanese. (2015). Active Braking Control System Design: The D<inline-formula><tex-math>$^{\bf 2}$</tex-math> </inline-formula>-IBC Approach. IEEE/ASME Transactions on Mechatronics. 20(4). 1573–1584. 19 indexed citations
17.
Novara, Carlo. (2014). Direct design of LPV feedback controllers: technical details, proofs and a numerical example.. arXiv (Cornell University). 1 indexed citations
18.
Novara, Carlo, Lorenzo Fagiano, & M. Milanese. (2012). DFK control design for nonlinear systems. 31. 2140–2145. 2 indexed citations
19.
Novara, Carlo. (2012). Sparse Identification of Nonlinear Functions and Parametric Set Membership Optimality Analysis. IEEE Transactions on Automatic Control. 57(12). 3236–3241. 26 indexed citations
20.
Canale, M., Carlo Novara, & M. Milanese. (2010). NSM constrained approximation of Lipschitz functions from data. Systems & Control Letters. 59(7). 396–403. 2 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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