Lorenzo Marconi
- Control and Systems Engineering top 0.1%
- Aerospace Engineering top 0.5%
- Computer Networks and Communications top 1%
- Computer Vision and Pattern Recognition top 1%
- Mechanical Engineering top 5%
- Co-authors
- Roberto NaldiAlberto IsidoriAndrea SerraniDaniele AstolfiLaurent PralyAndrew R. TeelLuca GentiliClaudio Bonivento
- Topics
- Adaptive Control of Nonlinear Systems (133 papers)Advanced Control Systems Optimization (91 papers)Iterative Learning Control Systems (52 papers)
- Cited by
- Control and Systems EngineeringAerospace EngineeringComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Automatic ControlAutomatica
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Lorenzo Marconi
251 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Control and Systems Engineering 4.6k
- Aerospace Engineering 1.4k
- Computer Networks and Communications 967
- Computer Vision and Pattern Recognition 896
- Mechanical Engineering 470
Countries citing papers authored by Lorenzo Marconi
This map shows the geographic impact of Lorenzo Marconi'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 Lorenzo Marconi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenzo Marconi more than expected).
Fields of papers citing papers by Lorenzo Marconi
This network shows the impact of papers produced by Lorenzo Marconi. 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 Lorenzo Marconi. The network helps show where Lorenzo Marconi may publish in the future.
Co-authorship network of co-authors of Lorenzo Marconi
This figure shows the co-authorship network connecting the top 25 collaborators of Lorenzo Marconi. A scholar is included among the top collaborators of Lorenzo Marconi 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 Lorenzo Marconi. Lorenzo Marconi 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 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 17 | |
| 9 | 3 | |
| 10 | 23 | |
| 11 | 23 | |
| 12 | Adaptive Post-Processing Internal Models Design for MIMO Minimum-Phase Nonlinear Systems. | 1 |
| 13 | 34 | |
| 14 | 1 | |
| 15 | 19 | |
| 16 | 9 | |
| 17 | 171 | |
| 18 | 6 | |
| 19 | 15 | |
| 20 | 9 |
About Lorenzo Marconi
Lorenzo Marconi is a scholar working on Control and Systems Engineering, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 261 papers that have together received 5.8k indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (133 papers), Advanced Control Systems Optimization (91 papers) and Iterative Learning Control Systems (52 papers). The work is most often cited by research in Control and Systems Engineering (4.6k citations), Aerospace Engineering (1.4k citations) and Computer Vision and Pattern Recognition (896 citations). Lorenzo Marconi has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Roberto Naldi, Alberto Isidori, Andrea Serrani, Alberto Isidori, Daniele Astolfi, Laurent Praly, Andrew R. Teel, Luca Gentili, Claudio Bonivento and Michelangelo Bin. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Automatica.
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.