Matteo Palieri
Impact in
- Geology top 5%
- 3D Surveying and Cultural Heritage
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization
Papers in
-
- Robotics and Sensor-Based Localization 7
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- Indoor and Outdoor Localization Technologies 5
- Co-authors
- Ali–akbar Agha–mohammadi (7 shared papers)Luca Carlone (5 shared papers)Kamak Ebadi (5 shared papers)Benjamin Morrell (5 shared papers)Yun Chang (3 shared papers)Andrzej Reinke (2 shared papers)Abhishek Thakur (3 shared papers)Eric Heiden (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (3 papers)DSpace@MIT (Massachusetts Institute of Technology) (1 paper)
- Partner nations
- United StatesItalyBangladesh
In The Last Decade
Matteo Palieri
6 papers receiving 322 citations
Peers
Comparison fields: 5 of 39
- Geology 90
- Aerospace Engineering 269
- Computer Vision and Pattern Recognition 173
- Environmental Engineering 42
- Instrumentation 9
Countries citing papers authored by Matteo Palieri
This map shows the geographic impact of Matteo Palieri'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 Matteo Palieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Palieri more than expected).
Fields of papers citing papers by Matteo Palieri
This network shows the impact of papers produced by Matteo Palieri. 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 Matteo Palieri. The network helps show where Matteo Palieri may publish in the future.
Co-authors
The 25 scholars most cited alongside Matteo Palieri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 126 | |
| 2 | 2022 | 105 | |
| 3 | 2022 | 81 | |
| 4 | LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time | 2021 | 14 |
| 5 | 2024 | 5 | |
| 6 | 2021 | 2 | |
| 7 | 2020 | 0 | |
| 8 | 2025 | 0 | |
| 9 | 2024 | 0 |
About Matteo Palieri
Matteo Palieri is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering, Geology, Computer Networks and Communications and Control and Systems Engineering, having authored 9 papers that have together received 333 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (7 papers), Indoor and Outdoor Localization Technologies (5 papers), 3D Surveying and Cultural Heritage (2 papers), AI-based Problem Solving and Planning (1 paper), IoT and Edge/Fog Computing (1 paper), Software-Defined Networks and 5G (1 paper), Robotic Path Planning Algorithms (1 paper) and Remote Sensing and LiDAR Applications (1 paper). The work is most often cited by research in Geology (90 citations), Aerospace Engineering (269 citations), Computer Vision and Pattern Recognition (173 citations), Environmental Engineering (42 citations) and Instrumentation (9 citations). Matteo Palieri has collaborated with scholars based in United States, Italy and Bangladesh. Frequent co-authors include Ali–akbar Agha–mohammadi, Luca Carlone, Kamak Ebadi, Benjamin Morrell, Yun Chang, Andrzej Reinke, Abhishek Thakur, Eric Heiden, Sally L. Wood and Nobuhiro Funabiki. Their work appears in journals such as IEEE Robotics and Automation Letters and DSpace@MIT (Massachusetts Institute of Technology).
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.