Filippo Bonaccorso
- Mechanical Engineering
- Electrical and Electronic Engineering
- Plant Science
- Control and Systems Engineering
- Biomedical Engineering
- Co-authors
- Giovanni MuscatoLuciano CantelliDomenico LongoCarmelo Donato MelitaGiacomo ScelbaFabio Giulii CapponiGiulio De DonatoG. Scarcella
- Topics
- Robotics and Sensor-Based Localization (3 papers)Modular Robots and Swarm Intelligence (2 papers)Additive Manufacturing Materials and Processes (2 papers)
- Journals
- IEEE Transactions on Industrial ElectronicsSensorsIEEE Transactions on Industry Applications
- Partner nations
- Italy
In The Last Decade
Filippo Bonaccorso
16 papers receiving 288 citations
Peers
Comparison fields: 5 of 65
- Mechanical Engineering 97
- Electrical and Electronic Engineering 90
- Plant Science 65
- Control and Systems Engineering 49
- Biomedical Engineering 41
Countries citing papers authored by Filippo Bonaccorso
This map shows the geographic impact of Filippo Bonaccorso'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 Filippo Bonaccorso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Filippo Bonaccorso more than expected).
Fields of papers citing papers by Filippo Bonaccorso
This network shows the impact of papers produced by Filippo Bonaccorso. 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 Filippo Bonaccorso. The network helps show where Filippo Bonaccorso may publish in the future.
Co-authorship network of co-authors of Filippo Bonaccorso
This figure shows the co-authorship network connecting the top 25 collaborators of Filippo Bonaccorso. A scholar is included among the top collaborators of Filippo Bonaccorso 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 Filippo Bonaccorso. Filippo Bonaccorso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 73 | |
| 2 | 69 | |
| 3 | 19 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | The U-Go Robot | 2 |
| 7 | Laser range data scan-matching algorithm for mobile robot indoor self-localization | 1 |
| 8 | 37 | |
| 9 | 60 | |
| 10 | 11 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | A feedback control system for a rapid production process based on robotic welding deposition | 1 |
| 14 | 2 | |
| 15 | 5 | |
| 16 | 4 | |
| 17 | 13 |
About Filippo Bonaccorso
Filippo Bonaccorso is a scholar working on Aerospace Engineering, Industrial and Manufacturing Engineering and Pharmacy, having authored 17 papers that have together received 310 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (3 papers), Modular Robots and Swarm Intelligence (2 papers) and Additive Manufacturing Materials and Processes (2 papers). The work is most often cited by research in Automotive Engineering (39 citations), Mechanical Engineering (97 citations) and Control and Systems Engineering (49 citations). Filippo Bonaccorso has collaborated with scholars based in Italy. Frequent co-authors include Giovanni Muscato, Luciano Cantelli, Domenico Longo, Carmelo Donato Melita, Giacomo Scelba, Fabio Giulii Capponi, Giulio De Donato, G. Scarcella, Paolo Dario and C. G. Bruno. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Sensors and IEEE Transactions on Industry Applications.
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.