Antonio Chimienti
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Biomedical Engineering
- Neurology
- Rehabilitation top 10%
- Co-authors
- Claudia FerrarisFabio BellifeminePierpaolo BaccichetDanilo PauGiuseppe PettitiVerônica CimolinNicola CauAlessandro Mauro
- Topics
- Advanced Data Compression Techniques (22 papers)Video Coding and Compression Technologies (20 papers)Advanced Vision and Imaging (7 papers)
- Cited by
- Signal ProcessingComputer Vision and Pattern RecognitionPhysical Therapy, Sports Therapy and Rehabilitation
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Antonio Chimienti
36 papers receiving 387 citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 238
- Signal Processing 157
- Biomedical Engineering 57
- Neurology 55
- Rehabilitation 48
Countries citing papers authored by Antonio Chimienti
This map shows the geographic impact of Antonio Chimienti'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 Antonio Chimienti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Chimienti more than expected).
Fields of papers citing papers by Antonio Chimienti
This network shows the impact of papers produced by Antonio Chimienti. 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 Antonio Chimienti. The network helps show where Antonio Chimienti may publish in the future.
Co-authorship network of co-authors of Antonio Chimienti
This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Chimienti. A scholar is included among the top collaborators of Antonio Chimienti 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 Antonio Chimienti. Antonio Chimienti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | Accuracy improvement in structured light system calibration using plane based residual error compensation | 3 |
| 5 | 16 | |
| 6 | 3 | |
| 7 | 29 | |
| 8 | Surface reconstruction from sparse data by a multiscale volumetric approach | 0 |
| 9 | 33 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 24 | |
| 13 | Power optimization for H.263/MPEG-4 VLSI video coding | 1 |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 12 | |
| 17 | 4 | |
| 18 | 47 | |
| 19 | AN APPLICATION OF BROADCAST TV FOR BROAD-BAND DIGITAL NETWORKS | 3 |
| 20 | 2 |
About Antonio Chimienti
Antonio Chimienti is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 37 papers that have together received 405 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (22 papers), Video Coding and Compression Technologies (20 papers) and Advanced Vision and Imaging (7 papers). The work is most often cited by research in Signal Processing (157 citations), Computer Vision and Pattern Recognition (238 citations) and Physical Therapy, Sports Therapy and Rehabilitation (39 citations). Antonio Chimienti has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Claudia Ferraris, Fabio Bellifemine, Pierpaolo Baccichet, Danilo Pau, Giuseppe Pettiti, Verônica Cimolin, Nicola Cau, Alessandro Mauro, Corrado Azzaro and Lorenzo Priano. Their work appears in journals such as IEEE Transactions on Image Processing, Sensors and CIRP Annals.
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.