Matteo Carocci
- Computer Vision and Pattern Recognition top 2%
- Mechanical Engineering top 10%
- Media Technology top 2%
- Geology top 5%
- Computational Mechanics top 10%
- Co-authors
- Giovanna SansoniRoberto RodellaLeonardo De ChiffreEnrico SavioFranco DocchioRiccardo LeonardiAlberto Signoroni
- Topics
- Optical measurement and interference techniques (7 papers)Advanced Measurement and Metrology Techniques (5 papers)Surface Roughness and Optical Measurements (3 papers)
- Journals
- The International Journal of Advanced Manufacturing TechnologyIEEE Transactions on Instrumentation and MeasurementOptics and Photonics News
- Partner nations
- ItalyUnited States
In The Last Decade
Matteo Carocci
9 papers receiving 545 citations
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 512
- Mechanical Engineering 231
- Media Technology 167
- Geology 158
- Computational Mechanics 100
Countries citing papers authored by Matteo Carocci
This map shows the geographic impact of Matteo Carocci'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 Carocci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Carocci more than expected).
Fields of papers citing papers by Matteo Carocci
This network shows the impact of papers produced by Matteo Carocci. 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 Carocci. The network helps show where Matteo Carocci may publish in the future.
Co-authorship network of co-authors of Matteo Carocci
This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Carocci. A scholar is included among the top collaborators of Matteo Carocci 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 Matteo Carocci. Matteo Carocci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A multiscale feature extraction approach for 3D range images | 1 |
| 2 | 103 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 105 | |
| 6 | 345 | |
| 7 | 12 | |
| 8 | 8 | |
| 9 | 5 |
About Matteo Carocci
Matteo Carocci is a scholar working on Computer Vision and Pattern Recognition, Geology and Instrumentation, having authored 9 papers that have together received 583 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (7 papers), Advanced Measurement and Metrology Techniques (5 papers) and Surface Roughness and Optical Measurements (3 papers). The work is most often cited by research in Geology (158 citations), Computer Vision and Pattern Recognition (512 citations) and Media Technology (167 citations). Matteo Carocci has collaborated with scholars based in Italy and United States. Frequent co-authors include Giovanna Sansoni, Roberto Rodella, Leonardo De Chiffre, Enrico Savio, Franco Docchio, Riccardo Leonardi and Alberto Signoroni. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, IEEE Transactions on Instrumentation and Measurement and Optics and Photonics News.
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.