Maurizio Lucenteforte
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 10%
- Artificial Intelligence
- Geography, Planning and Development top 10%
- Media Technology top 10%
- Co-authors
- Marco GrangettoMuhammad Shahid FaridLiliana ArdissonoNoemi MauroAntonio ChimientiAngioletta VogheraDavide CavagninoDanilo Pau
- Topics
- Video Coding and Compression Technologies (14 papers)Advanced Vision and Imaging (11 papers)Advanced Data Compression Techniques (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingGeography, Planning and Development
- Partner nations
- ItalyPakistanUzbekistan
In The Last Decade
Maurizio Lucenteforte
38 papers receiving 264 citations
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 221
- Signal Processing 99
- Artificial Intelligence 37
- Geography, Planning and Development 30
- Media Technology 29
Countries citing papers authored by Maurizio Lucenteforte
This map shows the geographic impact of Maurizio Lucenteforte'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 Maurizio Lucenteforte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maurizio Lucenteforte more than expected).
Fields of papers citing papers by Maurizio Lucenteforte
This network shows the impact of papers produced by Maurizio Lucenteforte. 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 Maurizio Lucenteforte. The network helps show where Maurizio Lucenteforte may publish in the future.
Co-authorship network of co-authors of Maurizio Lucenteforte
This figure shows the co-authorship network connecting the top 25 collaborators of Maurizio Lucenteforte. A scholar is included among the top collaborators of Maurizio Lucenteforte 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 Maurizio Lucenteforte. Maurizio Lucenteforte 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 | 1 | |
| 3 | 16 | |
| 4 | 0 | |
| 5 | 20 | |
| 6 | 15 | |
| 7 | Production of spatial representations through collaborative mapping. An experiment | 7 |
| 8 | 11 | |
| 9 | GroupCollaborate2: Interactive Community Mapping | 1 |
| 10 | 13 | |
| 11 | 10 | |
| 12 | 24 | |
| 13 | 1 | |
| 14 | 26 | |
| 15 | 6 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 3 | |
| 19 | 5 | |
| 20 | 12 |
About Maurizio Lucenteforte
Maurizio Lucenteforte is a scholar working on Signal Processing, Geography, Planning and Development and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 283 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (14 papers), Advanced Vision and Imaging (11 papers) and Advanced Data Compression Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (221 citations), Signal Processing (99 citations) and Geography, Planning and Development (30 citations). Maurizio Lucenteforte has collaborated with scholars based in Italy, Pakistan and Uzbekistan. Frequent co-authors include Marco Grangetto, Muhammad Shahid Farid, Liliana Ardissono, Noemi Mauro, Antonio Chimienti, Angioletta Voghera, Davide Cavagnino, Danilo Pau, Roberto Sannino and Erina Ferro. Their work appears in journals such as IEEE Transactions on Image Processing, Information Fusion and Signal Processing.
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.