Alessandro Pilloni
- Control and Systems Engineering top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 5%
- Automotive Engineering top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Elio UsaiAlessandro PisanoMauro FranceschelliYury OrlovAndrea GasparriChristopher EdwardsAlessandro GiuaRubén Puche‐Panadero
- Topics
- Distributed Control Multi-Agent Systems (13 papers)Neural Networks Stability and Synchronization (9 papers)Adaptive Control of Nonlinear Systems (8 papers)
- Cited by
- Control and Systems EngineeringComputer Networks and CommunicationsElectrical and Electronic Engineering
In The Last Decade
Alessandro Pilloni
33 papers receiving 562 citations
Peers
Comparison fields: 5 of 42
- Control and Systems Engineering 372
- Electrical and Electronic Engineering 289
- Computer Networks and Communications 193
- Automotive Engineering 57
- Computational Theory and Mathematics 48
Countries citing papers authored by Alessandro Pilloni
This map shows the geographic impact of Alessandro Pilloni'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 Alessandro Pilloni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Pilloni more than expected).
Fields of papers citing papers by Alessandro Pilloni
This network shows the impact of papers produced by Alessandro Pilloni. 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 Alessandro Pilloni. The network helps show where Alessandro Pilloni may publish in the future.
Co-authorship network of co-authors of Alessandro Pilloni
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Pilloni. A scholar is included among the top collaborators of Alessandro Pilloni 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 Alessandro Pilloni. Alessandro Pilloni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 29 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 22 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 9 | |
| 12 | 39 | |
| 13 | 109 | |
| 14 | 6 | |
| 15 | 10 | |
| 16 | 1 | |
| 17 | 82 | |
| 18 | 21 | |
| 19 | 18 | |
| 20 | 8 |
About Alessandro Pilloni
Alessandro Pilloni is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Modeling and Simulation, having authored 34 papers that have together received 575 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (13 papers), Neural Networks Stability and Synchronization (9 papers) and Adaptive Control of Nonlinear Systems (8 papers). The work is most often cited by research in Control and Systems Engineering (372 citations), Computer Networks and Communications (193 citations) and Electrical and Electronic Engineering (289 citations). Alessandro Pilloni has collaborated with scholars based in Italy, Mexico and Austria. Frequent co-authors include Elio Usai, Alessandro Pisano, Mauro Franceschelli, Yury Orlov, Andrea Gasparri, Christopher Edwards, Alessandro Giua, Rubén Puche‐Panadero, Stefan Koch and Carla Seatzu. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics and IEEE Transactions on Control Systems Technology.
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.