Carlo Novara
- Control and Systems Engineering top 0.5%
- Automotive Engineering top 2%
- Civil and Structural Engineering top 5%
- Mechanical Engineering top 10%
- Modeling and Simulation top 1%
- Co-authors
- M. MilaneseMario MilaneseGiuseppe C. CalafioreCorrado PossieriM. CanaleLorenzo FagianoLuigi ColangeloKameshwar Poolla
- Topics
- Control Systems and Identification (84 papers)Fault Detection and Control Systems (59 papers)Advanced Control Systems Optimization (41 papers)
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Carlo Novara
150 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 103
- Control and Systems Engineering 1.2k
- Automotive Engineering 328
- Civil and Structural Engineering 321
- Mechanical Engineering 257
- Modeling and Simulation 251
Countries citing papers authored by Carlo Novara
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 6 | |
| 12 | 101 | |
| 13 | 5 | |
| 14 | 6 | |
| 15 | 4 | |
| 16 | 16 | |
| 17 | 2 | |
| 18 | Direct design of LPV feedback controllers: technical details, proofs and a numerical example. | 1 |
| 19 | 4 | |
| 20 | 26 |
About Carlo Novara
Carlo Novara is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty and Automotive Engineering, having authored 166 papers that have together received 2.1k indexed citations. Recurring topics across this work include Control Systems and Identification (84 papers), Fault Detection and Control Systems (59 papers) and Advanced Control Systems Optimization (41 papers). The work is most often cited by research in Modeling and Simulation (251 citations), Control and Systems Engineering (1.2k citations) and Automotive Engineering (328 citations). Carlo Novara has collaborated with scholars based in Italy, United States and Netherlands. Frequent 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. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and Applied Energy.
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.