Nicola Bezzo

1.2k total citations
76 papers, 773 citations indexed

About

Nicola Bezzo is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Nicola Bezzo has authored 76 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 32 papers in Control and Systems Engineering and 30 papers in Computer Networks and Communications. Recurrent topics in Nicola Bezzo's work include Robotic Path Planning Algorithms (29 papers), Distributed Control Multi-Agent Systems (20 papers) and Smart Grid Security and Resilience (17 papers). Nicola Bezzo is often cited by papers focused on Robotic Path Planning Algorithms (29 papers), Distributed Control Multi-Agent Systems (20 papers) and Smart Grid Security and Resilience (17 papers). Nicola Bezzo collaborates with scholars based in United States, Italy and Sweden. Nicola Bezzo's 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 and has published in prestigious journals such as Computer, Physica D Nonlinear Phenomena and IEEE Transactions on Robotics.

In The Last Decade

Nicola Bezzo

68 papers receiving 745 citations

Peers

Nicola Bezzo
Liang Hu United Kingdom
James Kurien United States
Matthew J. Rutherford United States
Ju Jiang China
Nicola Bezzo
Citations per year, relative to Nicola Bezzo Nicola Bezzo (= 1×) peers Jacopo Panerati

Countries citing papers authored by Nicola Bezzo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Papadopoulos, Alessandro V., et al.. (2024). Robust Online Epistemic Replanning of Multi-Robot Missions. 13229–13236.
5.
Bezzo, Nicola, et al.. (2023). Epistemic Planning for Heterogeneous Robotic Systems. 691–698. 1 indexed citations
7.
Bezzo, Nicola, et al.. (2023). Epistemic planning for multi-robot systems in communication-restricted environments. Frontiers in Robotics and AI. 10. 1149439–1149439. 3 indexed citations
8.
Kantaros, Yiannis, et al.. (2022). Learning Enabled Fast Planning and Control in Dynamic Environments with Intermittent Information. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 10290–10296. 1 indexed citations
9.
Bezzo, Nicola, et al.. (2022). A Robust and Fast Occlusion-based Frontier Method for Autonomous Navigation in Unknown Cluttered Environments. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2 indexed citations
10.
Bezzo, Nicola, et al.. (2021). A Meta-Learning-based Trajectory Tracking Framework for UAVs under Degraded Conditions. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 6884–6890. 10 indexed citations
11.
Bezzo, Nicola, et al.. (2021). Detection of Hidden Attacks on Cyber-Physical Systems from Serial Magnitude and Sign Randomness Inconsistencies. arXiv (Cornell University). 7 indexed citations
12.
Franco, Carmelo Di, et al.. (2020). A Data-driven Framework for Proactive Intention-Aware Motion Planning of a Robot in a Human Environment. 5738–5744. 11 indexed citations
13.
Morgan, E., et al.. (2019). Development of an Autonomous Agricultural Vehicle to Measure Soil Respiration. 1–6. 4 indexed citations
14.
Bezzo, Nicola, et al.. (2019). Fast Run-time Monitoring, Replanning, and Recovery for Safe Autonomous System Operations. 1661–1667. 4 indexed citations
16.
Lewin, Gregory C., et al.. (2018). Unsupervised surface classification to enhance the control performance of a UGV. 12. 225–230. 3 indexed citations
17.
Horowitz, Barry, et al.. (2017). Human Capital Development - Resilient Cyber Physical Systems. 3 indexed citations
18.
Bezzo, Nicola, Kartik Mohta, Cameron Nowzari, et al.. (2016). Online planning for energy-efficient and disturbance-aware UAV operations. 5027–5033. 45 indexed citations
19.
Lu, Feng, Andrew King, Sanjian Chen, et al.. (2014). A Safety Argument Strategy for PCA Closed-Loop Systems: A Preliminary Proposal. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 36. 94–99. 3 indexed citations
20.
Bezzo, Nicola, Francesco Sorrentino, & Rafael Fierro. (2013). Decentralized estimation of topology changes in wireless robotic networks. 18. 5899–5904. 3 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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