Luca Grilli
Impact in
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- Computational Geometry and Mesh Generation
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- Data Visualization and Analytics
- Digital Image Processing Techniques
Papers in
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- Computational Geometry and Mesh Generation 10
- Computer Graphics and Visualization Techniques 2
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- Digital Image Processing Techniques 4
- Data Visualization and Analytics 4
- Image and Video Quality Assessment 2
- Co-authors
- Giuseppe LiottaWalter DidimoEmilio Di GiacomoFabrizio FratiPatrizio AngeliniFabrizio MontecchianiSabine CornelsenMichael A. Bekos
In The Last Decade
Luca Grilli
16 papers receiving 148 citations
Peers
Comparison fields: 5 of 43
- Computer Graphics and Computer-Aided Design 56
- Computer Vision and Pattern Recognition 75
- Signal Processing 31
- Computational Theory and Mathematics 38
- Statistical and Nonlinear Physics 26
Countries citing papers authored by Luca Grilli
This map shows the geographic impact of Luca Grilli'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 Grilli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Grilli more than expected).
Fields of papers citing papers by Luca Grilli
This network shows the impact of papers produced by Luca Grilli. 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 Grilli. The network helps show where Luca Grilli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Luca Grilli, 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 | 2024 | 2 | |
| 2 | 2022 | 0 | |
| 3 | 2022 | 4 | |
| 4 | 2020 | 33 | |
| 5 | 2019 | 11 | |
| 6 | 2018 | 9 | |
| 7 | 2018 | 1 | |
| 8 | 2017 | 1 | |
| 9 | 2016 | 9 | |
| 10 | 2015 | 2 | |
| 11 | 2014 | 4 | |
| 12 | 2013 | 4 | |
| 13 | 2012 | 6 | |
| 14 | 2010 | 25 | |
| 15 | 2008 | 4 | |
| 16 | 2008 | 2 | |
| 17 | 2007 | 51 |
About Luca Grilli
Luca Grilli is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Signal Processing, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 17 papers that have together received 168 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (10 papers), Digital Image Processing Techniques (4 papers), Data Visualization and Analytics (4 papers), Advanced Graph Theory Research (4 papers), Complex Network Analysis Techniques (3 papers), Image and Video Quality Assessment (2 papers), 3D Modeling in Geospatial Applications (2 papers) and Computer Graphics and Visualization Techniques (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (56 citations), Computer Vision and Pattern Recognition (75 citations), Signal Processing (31 citations), Computational Theory and Mathematics (38 citations) and Statistical and Nonlinear Physics (26 citations). Luca Grilli has collaborated with scholars based in Italy, Germany and Australia. Frequent co-authors include Giuseppe Liotta, Walter Didimo, Emilio Di Giacomo, Fabrizio Frati, Patrizio Angelini, Fabrizio Montecchiani, Sabine Cornelsen, Michael A. Bekos, Michael Kaufmann and Seok-Hee Hong. Their work appears in journals such as Computational Geometry, Journal of Graph Algorithms and Applications, IEEE Access, Information Sciences and Theoretical Computer Science.
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.