Luca Versari
Impact in
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- Advanced Data Compression Techniques
- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
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- Video Coding and Compression Technologies
Papers in
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- Algorithms and Data Compression 4
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- Advanced Data Compression Techniques 3
- Graph Theory and Algorithms 3
- Co-authors
- Roberto Grossi (8 shared papers)Alessio Conte (7 shared papers)Andrea Marino (6 shared papers)Iulia M. Comșa (4 shared papers)Thomas Fischbacher (3 shared papers)Krzysztof Potempa (2 shared papers)Jon Sneyers (2 shared papers)Zoltán Szabadka (1 shared paper)
- Journals
- Discrete Applied Mathematics (1 paper)SIAM Journal on Discrete Mathematics (1 paper)Algorithmica (1 paper)Theoretical Computer Science (1 paper)IEEE Access (1 paper)
- Partner nations
- ItalySwitzerlandJapan
In The Last Decade
Luca Versari
16 papers receiving 179 citations
Peers
Comparison fields: 5 of 29
- Computer Vision and Pattern Recognition 89
- Signal Processing 34
- Computational Theory and Mathematics 31
- Computer Graphics and Computer-Aided Design 6
- Artificial Intelligence 54
Countries citing papers authored by Luca Versari
This map shows the geographic impact of Luca Versari'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 Luca Versari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Versari more than expected).
Fields of papers citing papers by Luca Versari
This network shows the impact of papers produced by Luca Versari. 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 Luca Versari. The network helps show where Luca Versari may publish in the future.
Co-authors
The 25 scholars most cited alongside Luca Versari, 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 | 2019 | 70 | |
| 2 | 2020 | 15 | |
| 3 | 2019 | 14 | |
| 4 | 2021 | 12 | |
| 5 | 2020 | 12 | |
| 6 | 2019 | 10 | |
| 7 | 2020 | 8 | |
| 8 | 2016 | 8 | |
| 9 | 2017 | 8 | |
| 10 | 2022 | 6 | |
| 11 | 2017 | 5 | |
| 12 | 2018 | 5 | |
| 13 | 2020 | 4 | |
| 14 | 2018 | 3 | |
| 15 | 2021 | 2 | |
| 16 | 2019 | 1 | |
| 17 | 2025 | 0 |
About Luca Versari
Luca Versari is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Computational Theory and Mathematics and Molecular Biology, having authored 17 papers that have together received 183 indexed citations. Recurring topics across this work include Algorithms and Data Compression (4 papers), Advanced Graph Theory Research (4 papers), Advanced Data Compression Techniques (3 papers), Graph Theory and Algorithms (3 papers), Complexity and Algorithms in Graphs (3 papers), Video Coding and Compression Technologies (2 papers), Advanced Memory and Neural Computing (2 papers) and Teaching and Learning Programming (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (89 citations), Signal Processing (34 citations), Computational Theory and Mathematics (31 citations), Computer Graphics and Computer-Aided Design (6 citations) and Artificial Intelligence (54 citations). Luca Versari has collaborated with scholars based in Italy, Switzerland and Japan. Frequent co-authors include Roberto Grossi, Alessio Conte, Andrea Marino, Iulia M. Comșa, Thomas Fischbacher, Krzysztof Potempa, Jon Sneyers, Zoltán Szabadka, Sebastián Gómez and Daniele De Sensi. Their work appears in journals such as Discrete Applied Mathematics, SIAM Journal on Discrete Mathematics, Algorithmica, Theoretical Computer Science and IEEE Access.
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.