Venanzio Cichella
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- Robotic Path Planning Algorithms 35
- Aerospace Engineering top 2%
- Guidance and Control Systems 15
- Robotics and Sensor-Based Localization 11
- UAV Applications and Optimization 9
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- Adaptive Control of Nonlinear Systems 10
- Control and Dynamics of Mobile Robots 7
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- Distributed Control Multi-Agent Systems 24
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety 5
- Co-authors
- Naira HovakimyanIsaac KaminerEnric XargayVladimir DobrokhodovA. PascoalRonald ChoeA. Pedro AguiarCaterina Lamuta
- Cited by
- Computer Vision and Pattern RecognitionAerospace EngineeringControl and Systems Engineering
- Journals
- IEEE Transactions on Automatic Control (2 papers)Sensors (1 paper)Journal of the Franklin Institute (1 paper)
- Partner nations
- United StatesPortugalItaly
In The Last Decade
Venanzio Cichella
65 papers receiving 798 citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 401
- Aerospace Engineering 469
- Control and Systems Engineering 275
- Computer Networks and Communications 264
- Automotive Engineering 72
Countries citing papers authored by Venanzio Cichella
This map shows the geographic impact of Venanzio Cichella'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 Venanzio Cichella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Venanzio Cichella more than expected).
Fields of papers citing papers by Venanzio Cichella
This network shows the impact of papers produced by Venanzio Cichella. 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 Venanzio Cichella. The network helps show where Venanzio Cichella may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Venanzio Cichella, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 3 | |
| 11 | 2023 | 9 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 8 | |
| 14 | 2023 | 8 | |
| 15 | 2023 | 3 | |
| 16 | 2023 | 11 | |
| 17 | 2018 | 7 | |
| 18 | 2015 | 6 | |
| 19 | 2012 | 25 | |
| 20 | 2011 | 44 |
About Venanzio Cichella
Venanzio Cichella is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Networks and Communications, having authored 69 papers that have together received 821 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (35 papers), Distributed Control Multi-Agent Systems (24 papers), Guidance and Control Systems (15 papers), Robotics and Sensor-Based Localization (11 papers), Adaptive Control of Nonlinear Systems (10 papers), UAV Applications and Optimization (9 papers), Control and Dynamics of Mobile Robots (7 papers) and Autonomous Vehicle Technology and Safety (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (401 citations), Aerospace Engineering (469 citations) and Control and Systems Engineering (275 citations). Venanzio Cichella has collaborated with scholars based in United States, Portugal and Italy. Frequent co-authors include Naira Hovakimyan, Isaac Kaminer, Enric Xargay, Vladimir Dobrokhodov, A. Pascoal, Ronald Choe, A. Pedro Aguiar, Caterina Lamuta, Anna Trujillo and Reza Ghabcheloo. Their work appears in journals such as IEEE Transactions on Automatic Control, Sensors and Journal of the Franklin Institute.
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.