Luigi Palmieri
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 5%
- Automotive Engineering top 5%
- Aerospace Engineering top 10%
- Artificial Intelligence
- Co-authors
- Kai O. ArrasSven KoenigAchim J. LilienthalMartin MagnussonTomasz Piotr KucnerGaurav S. SukhatmeEric HeidenJ. Marius Zöllner
- Topics
- Robotic Path Planning Algorithms (19 papers)Robotics and Sensor-Based Localization (9 papers)Autonomous Vehicle Technology and Safety (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionAutomotive EngineeringControl and Systems Engineering
- Journals
- The International Journal of Robotics ResearchIEEE Transactions on RoboticsIEEE Robotics and Automation Letters
- Partner nations
- GermanySwedenUnited States
In The Last Decade
Luigi Palmieri
29 papers receiving 463 citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 352
- Control and Systems Engineering 159
- Automotive Engineering 158
- Aerospace Engineering 149
- Artificial Intelligence 73
Countries citing papers authored by Luigi Palmieri
This map shows the geographic impact of Luigi Palmieri'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 Luigi Palmieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luigi Palmieri more than expected).
Fields of papers citing papers by Luigi Palmieri
This network shows the impact of papers produced by Luigi Palmieri. 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 Luigi Palmieri. The network helps show where Luigi Palmieri may publish in the future.
Co-authorship network of co-authors of Luigi Palmieri
This figure shows the co-authorship network connecting the top 25 collaborators of Luigi Palmieri. A scholar is included among the top collaborators of Luigi Palmieri 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 Luigi Palmieri. Luigi Palmieri 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 | 0 | |
| 3 | 6 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 13 | |
| 8 | 8 | |
| 9 | 6 | |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 9 | |
| 13 | 36 | |
| 14 | 15 | |
| 15 | 20 | |
| 16 | 30 | |
| 17 | 11 | |
| 18 | 40 | |
| 19 | 3 | |
| 20 | A study of information privacy and data sanitization problems: student paper | 1 |
About Luigi Palmieri
Luigi Palmieri is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering, having authored 31 papers that have together received 470 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (19 papers), Robotics and Sensor-Based Localization (9 papers) and Autonomous Vehicle Technology and Safety (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (352 citations), Automotive Engineering (158 citations) and Control and Systems Engineering (159 citations). Luigi Palmieri has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include Kai O. Arras, Sven Koenig, Achim J. Lilienthal, Martin Magnusson, Tomasz Piotr Kucner, Gaurav S. Sukhatme, Eric Heiden, J. Marius Zöllner, Dennis Nienhüser and Thomas Schamm. Their work appears in journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics 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.