Fabio Pellacini

About

Fabio Pellacini is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fabio Pellacini has authored 73 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Computer Graphics and Computer-Aided Design, 43 papers in Computational Mechanics and 42 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fabio Pellacini’s work include Computer Graphics and Visualization Techniques (63 papers), 3D Shape Modeling and Analysis (41 papers) and Advanced Vision and Imaging (21 papers). Fabio Pellacini is often cited by papers focused on Computer Graphics and Visualization Techniques (63 papers), 3D Shape Modeling and Analysis (41 papers) and Advanced Vision and Imaging (21 papers). Fabio Pellacini collaborates with scholars based in United States, Italy and United Kingdom. Fabio Pellacini's co-authors include Xiaobo An, Xin Tong, Donald P. Greenberg, Kavita Bala, Miloš Hašan, James A. Ferwerda, Yue Dong, Jason Lawrence, Marco Fratarcangeli and Baining Guo and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Co-authorship network of co-authors of Fabio Pellacini i

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Fields of papers citing papers by Fabio Pellacini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Fabio Pellacini

Since Specialization

Citations

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).

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.

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