Fabio Pellacini
Impact in
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- Computer Graphics and Visualization Techniques
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- Advanced Vision and Imaging
- Image Enhancement Techniques
- Advanced Image and Video Retrieval Techniques
Papers in
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- Computer Graphics and Visualization Techniques 87
- Computational Geometry and Mesh Generation 10
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- Advanced Vision and Imaging 31
- Image Enhancement Techniques 12
- Data Visualization and Analytics 7
- Co-authors
- Donald P. GreenbergXiaobo AnJames A. FerwerdaMiloš HašanKavita BalaXin TongJason LawrenceYue Dong
- Journals
- ACM Transactions on Graphics (43 papers)Computer Graphics Forum (11 papers)IEEE Transactions on Visualization and Computer Graphics (2 papers)Computers & Graphics (2 papers)The Visual Computer (1 paper)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Fabio Pellacini
101 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 112
- Computer Graphics and Computer-Aided Design 1.8k
- Computer Vision and Pattern Recognition 1.9k
- Computational Mechanics 948
- Geology 168
- Human-Computer Interaction 157
Countries citing papers authored by Fabio Pellacini
This map shows the geographic impact of Fabio Pellacini'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 Fabio Pellacini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Pellacini more than expected).
Fields of papers citing papers by Fabio Pellacini
This network shows the impact of papers produced by Fabio Pellacini. 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 Fabio Pellacini. The network helps show where Fabio Pellacini may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fabio Pellacini, 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 | 2023 | 2 | |
| 2 | 2018 | 4 | |
| 3 | 2015 | 19 | |
| 4 | 2015 | 12 | |
| 5 | 2014 | 4 | |
| 6 | Tracking in three dimensions via recursive multi-path branching | 2013 | 2 |
| 7 | 2012 | 5 | |
| 8 | 2010 | 13 | |
| 9 | 2010 | 5 | |
| 10 | 2010 | 16 | |
| 11 | 2009 | 7 | |
| 12 | 2009 | 71 | |
| 13 | 2009 | 8 | |
| 14 | 2008 | 19 | |
| 15 | Visualizing Paths in Context | 2008 | 1 |
| 16 | 2005 | 4 | |
| 17 | 2002 | 43 | |
| 18 | 2001 | 19 | |
| 19 | 2001 | 97 | |
| 20 | 2000 | 201 |
About Fabio Pellacini
Fabio Pellacini is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Mechanics, Human-Computer Interaction and Geology, having authored 105 papers that have together received 2.9k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (87 papers), 3D Shape Modeling and Analysis (55 papers), Advanced Vision and Imaging (31 papers), Color Science and Applications (21 papers), Image Enhancement Techniques (12 papers), Computational Geometry and Mesh Generation (10 papers), Human Motion and Animation (9 papers) and Data Visualization and Analytics (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.8k citations), Computer Vision and Pattern Recognition (1.9k citations), Computational Mechanics (948 citations), Geology (168 citations) and Human-Computer Interaction (157 citations). Fabio Pellacini has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Donald P. Greenberg, Xiaobo An, James A. Ferwerda, Miloš Hašan, Kavita Bala, Xin Tong, Jason Lawrence, Yue Dong, Marco Fratarcangeli and Baining Guo. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, IEEE Transactions on Visualization and Computer Graphics, Computers & Graphics and The Visual Computer.
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.