Paolo Salaris
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Aerospace Engineering top 10%
- Human-Computer Interaction top 5%
- Co-authors
- Antonio BicchiLucia PallottinoMatteo BianchiDaniele FontanelliManolo GarabiniPaolo Robuffo GiordanoMarco CognettiRiccardo Spica
- Topics
- Robotic Path Planning Algorithms (17 papers)Robotics and Sensor-Based Localization (14 papers)Advanced Vision and Imaging (8 papers)
- Cited by
- Control and Systems EngineeringHuman-Computer InteractionComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Automatic ControlIEEE AccessThe International Journal of Robotics Research
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Paolo Salaris
38 papers receiving 498 citations
Peers
Comparison fields: 5 of 50
- Control and Systems Engineering 271
- Computer Vision and Pattern Recognition 217
- Biomedical Engineering 199
- Aerospace Engineering 120
- Human-Computer Interaction 62
Countries citing papers authored by Paolo Salaris
This map shows the geographic impact of Paolo Salaris'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 Paolo Salaris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Salaris more than expected).
Fields of papers citing papers by Paolo Salaris
This network shows the impact of papers produced by Paolo Salaris. 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 Paolo Salaris. The network helps show where Paolo Salaris may publish in the future.
Co-authorship network of co-authors of Paolo Salaris
This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Salaris. A scholar is included among the top collaborators of Paolo Salaris 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 Paolo Salaris. Paolo Salaris 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 | 3 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 10 | |
| 9 | 11 | |
| 10 | 9 | |
| 11 | 8 | |
| 12 | 9 | |
| 13 | 30 | |
| 14 | 39 | |
| 15 | 8 | |
| 16 | 13 | |
| 17 | 12 | |
| 18 | 5 | |
| 19 | 9 | |
| 20 | 8 |
About Paolo Salaris
Paolo Salaris is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 41 papers that have together received 512 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (17 papers), Robotics and Sensor-Based Localization (14 papers) and Advanced Vision and Imaging (8 papers). The work is most often cited by research in Control and Systems Engineering (271 citations), Human-Computer Interaction (62 citations) and Computer Vision and Pattern Recognition (217 citations). Paolo Salaris has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Antonio Bicchi, Lucia Pallottino, Matteo Bianchi, Daniele Fontanelli, Manolo Garabini, Paolo Robuffo Giordano, Marco Cognetti, Riccardo Spica, Andrea Cristofaro and Jean‐Paul Laumond. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Access 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.