Nicola Bezzo
- Control and Systems Engineering top 2%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Co-authors
- Insup LeeGeorge J. PappasOleg SokolskyJames WeimerMiroslav PajićRafael FierroPaulo TabuadaPatricio J. Cruz
- Topics
- Robotic Path Planning Algorithms (29 papers)Distributed Control Multi-Agent Systems (20 papers)Smart Grid Security and Resilience (17 papers)
- Cited by
- Control and Systems EngineeringComputer Networks and CommunicationsHardware and Architecture
- Partner nations
- United StatesItalySweden
In The Last Decade
Nicola Bezzo
68 papers receiving 745 citations
Peers
Comparison fields: 5 of 71
- Control and Systems Engineering 386
- Computer Networks and Communications 284
- Artificial Intelligence 208
- Computer Vision and Pattern Recognition 156
- Aerospace Engineering 150
Countries citing papers authored by Nicola Bezzo
This map shows the geographic impact of Nicola Bezzo'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 Nicola Bezzo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicola Bezzo more than expected).
Fields of papers citing papers by Nicola Bezzo
This network shows the impact of papers produced by Nicola Bezzo. 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 Nicola Bezzo. The network helps show where Nicola Bezzo may publish in the future.
Co-authorship network of co-authors of Nicola Bezzo
This figure shows the co-authorship network connecting the top 25 collaborators of Nicola Bezzo. A scholar is included among the top collaborators of Nicola Bezzo 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 Nicola Bezzo. Nicola Bezzo 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 10 | |
| 11 | 7 | |
| 12 | 11 | |
| 13 | 4 | |
| 14 | 4 | |
| 15 | 0 | |
| 16 | 3 | |
| 17 | Human Capital Development - Resilient Cyber Physical Systems | 3 |
| 18 | 45 | |
| 19 | 3 | |
| 20 | 3 |
About Nicola Bezzo
Nicola Bezzo is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Software, having authored 76 papers that have together received 773 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (29 papers), Distributed Control Multi-Agent Systems (20 papers) and Smart Grid Security and Resilience (17 papers). The work is most often cited by research in Control and Systems Engineering (386 citations), Computer Networks and Communications (284 citations) and Hardware and Architecture (52 citations). Nicola Bezzo has collaborated with scholars based in United States, Italy and Sweden. Frequent co-authors include Insup Lee, George J. Pappas, Oleg Sokolsky, James Weimer, Miroslav Pajić, Rafael Fierro, Paulo Tabuada, Patricio J. Cruz, Tony X. Lin and Shijie Gao. Their work appears in journals such as Computer, Physica D Nonlinear Phenomena and IEEE Transactions on Robotics.
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.