Giuseppe Silano
- Aerospace Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Plant Science
- Control and Systems Engineering top 10%
- Co-authors
- Luigi IannelliLuigi GlielmoDavide LiuzzaMartin SaskaFrancesco PicarielloLuca De VitoPasquale DaponteDaniel Bonilla Licea
- Topics
- Robotic Path Planning Algorithms (15 papers)Robotics and Sensor-Based Localization (12 papers)UAV Applications and Optimization (7 papers)
- Cited by
- Aerospace EngineeringComputer Vision and Pattern RecognitionComputer Networks and Communications
- Partner nations
- CzechiaItalyNetherlands
In The Last Decade
Giuseppe Silano
21 papers receiving 366 citations
Peers
Comparison fields: 5 of 63
- Aerospace Engineering 194
- Computer Vision and Pattern Recognition 153
- Computer Networks and Communications 84
- Plant Science 70
- Control and Systems Engineering 65
Countries citing papers authored by Giuseppe Silano
This map shows the geographic impact of Giuseppe Silano'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 Giuseppe Silano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuseppe Silano more than expected).
Fields of papers citing papers by Giuseppe Silano
This network shows the impact of papers produced by Giuseppe Silano. 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 Giuseppe Silano. The network helps show where Giuseppe Silano may publish in the future.
Co-authorship network of co-authors of Giuseppe Silano
This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Silano. A scholar is included among the top collaborators of Giuseppe Silano 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 Giuseppe Silano. Giuseppe Silano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 24 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 11 | |
| 12 | 59 | |
| 13 | 11 | |
| 14 | 15 | |
| 15 | 5 | |
| 16 | 41 | |
| 17 | 10 | |
| 18 | 107 | |
| 19 | 20 | |
| 20 | 3 |
About Giuseppe Silano
Giuseppe Silano is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering, having authored 24 papers that have together received 377 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (15 papers), Robotics and Sensor-Based Localization (12 papers) and UAV Applications and Optimization (7 papers). The work is most often cited by research in Aerospace Engineering (194 citations), Computer Vision and Pattern Recognition (153 citations) and Computer Networks and Communications (84 citations). Giuseppe Silano has collaborated with scholars based in Czechia, Italy and Netherlands. Frequent co-authors include Luigi Iannelli, Luigi Glielmo, Davide Liuzza, Martin Saska, Francesco Picariello, Luca De Vito, Pasquale Daponte, Daniel Bonilla Licea, Robert Pěnička and Valerio Mariani. Their work appears in journals such as IEEE Access, Robotics and Autonomous Systems and IEEE Robotics and Automation Letters.
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.