Giuseppe Loianno
- Aerospace Engineering top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Control and Systems Engineering top 1%
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering top 10%
- Co-authors
- Vijay KumarJustin ThomasMartin SaskaKostas DaniilidisKoushil SreenathDaniel HeřtRoberto TronCamillo J. Taylor
- Topics
- Robotics and Sensor-Based Localization (61 papers)Robotic Path Planning Algorithms (50 papers)Advanced Vision and Imaging (20 papers)
- Cited by
- Computer Vision and Pattern RecognitionAerospace EngineeringControl and Systems Engineering
- Journals
- IEEE AccessIEEE Transactions on Wireless CommunicationsThe International Journal of Robotics Research
- Partner nations
- United StatesItalyCzechia
In The Last Decade
Giuseppe Loianno
104 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 91
- Aerospace Engineering 1.9k
- Computer Vision and Pattern Recognition 1.7k
- Control and Systems Engineering 855
- Computer Networks and Communications 687
- Electrical and Electronic Engineering 404
Countries citing papers authored by Giuseppe Loianno
This map shows the geographic impact of Giuseppe Loianno'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 Loianno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuseppe Loianno more than expected).
Fields of papers citing papers by Giuseppe Loianno
This network shows the impact of papers produced by Giuseppe Loianno. 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 Loianno. The network helps show where Giuseppe Loianno may publish in the future.
Co-authorship network of co-authors of Giuseppe Loianno
This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Loianno. A scholar is included among the top collaborators of Giuseppe Loianno 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 Loianno. Giuseppe Loianno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 16 | |
| 12 | 66 | |
| 13 | 53 | |
| 14 | 10 | |
| 15 | 21 | |
| 16 | 114 | |
| 17 | 103 | |
| 18 | 77 | |
| 19 | 69 | |
| 20 | 34 |
About Giuseppe Loianno
Giuseppe Loianno is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering, having authored 114 papers that have together received 3.1k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (61 papers), Robotic Path Planning Algorithms (50 papers) and Advanced Vision and Imaging (20 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.7k citations), Aerospace Engineering (1.9k citations) and Control and Systems Engineering (855 citations). Giuseppe Loianno has collaborated with scholars based in United States, Italy and Czechia. Frequent co-authors include Vijay Kumar, Justin Thomas, Martin Saska, Kostas Daniilidis, Koushil Sreenath, Daniel Heřt, Roberto Tron, Camillo J. Taylor, Jan Chudoba and Vojtěch Spurný. Their work appears in journals such as IEEE Access, IEEE Transactions on Wireless Communications and The International Journal of Robotics Research.
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.