Nicola Ceccarelli
- Aerospace Engineering top 5%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 10%
- Artificial Intelligence
- Co-authors
- Andrea GarulliAntonio GiannitrapaniMauro Di MarcoFabrizio ScortecciMeir PachterPhillip ChandlerAlan L. JenningsRaúl Ordóñez
- Topics
- Robotics and Sensor-Based Localization (6 papers)Control and Dynamics of Mobile Robots (5 papers)Distributed Control Multi-Agent Systems (5 papers)
- Cited by
- Aerospace EngineeringComputer Vision and Pattern RecognitionComputer Networks and Communications
- Journals
- AutomaticaIEEE Transactions on Aerospace and Electronic SystemsJournal of Guidance Control and Dynamics
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Nicola Ceccarelli
16 papers receiving 476 citations
Peers
Comparison fields: 5 of 49
- Aerospace Engineering 299
- Computer Networks and Communications 177
- Computer Vision and Pattern Recognition 174
- Control and Systems Engineering 126
- Artificial Intelligence 89
Countries citing papers authored by Nicola Ceccarelli
This map shows the geographic impact of Nicola Ceccarelli'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 Ceccarelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicola Ceccarelli more than expected).
Fields of papers citing papers by Nicola Ceccarelli
This network shows the impact of papers produced by Nicola Ceccarelli. 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 Ceccarelli. The network helps show where Nicola Ceccarelli may publish in the future.
Co-authorship network of co-authors of Nicola Ceccarelli
This figure shows the co-authorship network connecting the top 25 collaborators of Nicola Ceccarelli. A scholar is included among the top collaborators of Nicola Ceccarelli 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 Ceccarelli. Nicola Ceccarelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 87 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 137 | |
| 6 | 21 | |
| 7 | 13 | |
| 8 | 29 | |
| 9 | 29 | |
| 10 | 7 | |
| 11 | 64 | |
| 12 | 2 | |
| 13 | 15 | |
| 14 | 12 | |
| 15 | 15 | |
| 16 | 11 |
About Nicola Ceccarelli
Nicola Ceccarelli is a scholar working on Aerospace Engineering, Geology and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 489 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (6 papers), Control and Dynamics of Mobile Robots (5 papers) and Distributed Control Multi-Agent Systems (5 papers). The work is most often cited by research in Aerospace Engineering (299 citations), Computer Vision and Pattern Recognition (174 citations) and Computer Networks and Communications (177 citations). Nicola Ceccarelli has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Andrea Garulli, Antonio Giannitrapani, Mauro Di Marco, Fabrizio Scortecci, Meir Pachter, Phillip Chandler, Alan L. Jennings, Raúl Ordóñez, John J. Enright and Steven J. Rasmussen. Their work appears in journals such as Automatica, IEEE Transactions on Aerospace and Electronic Systems and Journal of Guidance Control and Dynamics.
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.