Francesca Uccheddu

1.3k total citations
46 papers, 711 citations indexed

About

Francesca Uccheddu is a scholar working on Computer Vision and Pattern Recognition, Surgery and Biomedical Engineering. According to data from OpenAlex, Francesca Uccheddu has authored 46 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 18 papers in Surgery and 15 papers in Biomedical Engineering. Recurrent topics in Francesca Uccheddu's work include Anatomy and Medical Technology (13 papers), 3D Surveying and Cultural Heritage (7 papers) and Surgical Simulation and Training (7 papers). Francesca Uccheddu is often cited by papers focused on Anatomy and Medical Technology (13 papers), 3D Surveying and Cultural Heritage (7 papers) and Surgical Simulation and Training (7 papers). Francesca Uccheddu collaborates with scholars based in Italy, United States and Egypt. Francesca Uccheddu's co-authors include Rocco Furferi, Yary Volpe, Lapo Governi, Monica Carfagni, Mauro Barni, Michaela Servi, Massimiliano Corsini, Kathleen S. McGreevy, Flavio Facchini and Elisa Mussi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and The Annals of Thoracic Surgery.

In The Last Decade

Francesca Uccheddu

42 papers receiving 636 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Francesca Uccheddu Italy 14 294 196 176 75 70 46 711
Bernhard Reitinger Austria 15 391 1.3× 176 0.9× 88 0.5× 81 1.1× 76 1.1× 61 800
Monica Carfagni Italy 16 212 0.7× 242 1.2× 108 0.6× 29 0.4× 124 1.8× 98 1.0k
Gentaro Hirota United States 10 527 1.8× 115 0.6× 134 0.8× 148 2.0× 69 1.0× 12 737
Minho Chang South Korea 15 126 0.4× 51 0.3× 170 1.0× 24 0.3× 49 0.7× 50 666
Franco Persiani Italy 15 152 0.5× 161 0.8× 244 1.4× 8 0.1× 42 0.6× 37 768
A. Fischer Israel 14 135 0.5× 131 0.7× 59 0.3× 127 1.7× 38 0.5× 59 744
Jiing‐Yih Lai Taiwan 16 198 0.7× 184 0.9× 78 0.4× 96 1.3× 47 0.7× 90 913
Zhaoshuo Li United States 11 344 1.2× 146 0.7× 108 0.6× 76 1.0× 64 0.9× 23 596
Anath Fischer Israel 17 252 0.9× 104 0.5× 54 0.3× 122 1.6× 228 3.3× 45 932
Zhongke Wu China 18 622 2.1× 124 0.6× 33 0.2× 127 1.7× 81 1.2× 157 1.1k

Countries citing papers authored by Francesca Uccheddu

Since Specialization
Citations

This map shows the geographic impact of Francesca Uccheddu'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 Francesca Uccheddu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Uccheddu more than expected).

Fields of papers citing papers by Francesca Uccheddu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francesca Uccheddu. 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 Francesca Uccheddu. The network helps show where Francesca Uccheddu may publish in the future.

Co-authorship network of co-authors of Francesca Uccheddu

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Uccheddu. A scholar is included among the top collaborators of Francesca Uccheddu 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 Francesca Uccheddu. Francesca Uccheddu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Rosso, Stefano, Hamada Elsayed, Enrico Bernardo, et al.. (2023). Modeling Materials Coextrusion in Polymers Additive Manufacturing. Materials. 16(2). 820–820. 9 indexed citations
4.
Santoro, Luisa, et al.. (2023). Enhancing diagnosis of Hirschsprung’s disease using deep learning from histological sections of post pull-through specimens: preliminary results. Pediatric Surgery International. 40(1). 12–12. 9 indexed citations
5.
Pirri, Carmelo, et al.. (2023). Deep Learning-Based Medical Images Segmentation of Musculoskeletal Anatomical Structures: A Survey of Bottlenecks and Strategies. Bioengineering. 10(2). 137–137. 15 indexed citations
6.
Lazzeri, Simone, Raffaele Barbato, Francesca Uccheddu, et al.. (2022). 3D-Printed Patient-Specific Casts for the Distal Radius in Children: Outcome and Pre-Market Survey. Materials. 15(8). 2863–2863. 9 indexed citations
7.
Savio, Gianpaolo, et al.. (2022). Evaluation of the Fatigue Strength of a CAD-CAM Nanoceramic Resin Crown on Titanium and Zirconia-Titanium Abutments. Applied Sciences. 12(3). 1365–1365. 1 indexed citations
8.
Argenti, Fabrizio, et al.. (2020). Volumetric interpolation of tomographic sequences for accurate 3D reconstruction of anatomical parts. Computer Methods and Programs in Biomedicine. 194. 105525–105525. 11 indexed citations
9.
Servi, Michaela, Francesco Buonamici, Rocco Furferi, et al.. (2019). Pectus Carinatum: a non-invasive and objective measurement of severity. Medical & Biological Engineering & Computing. 57(8). 1727–1735. 2 indexed citations
10.
Facchini, Flavio, Yary Volpe, Francesca Uccheddu, et al.. (2018). Customized Cutting Template to Assist Sternotomy in Pectus Arcuatum. The Annals of Thoracic Surgery. 107(4). 1253–1258. 13 indexed citations
11.
Buonamici, Francesco, Rocco Furferi, Lapo Governi, et al.. (2018). A CAD-based Procedure for Designing 3D Printable Arm-Wrist-Hand Cast. 1–5. 3 indexed citations
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Uccheddu, Francesca, Marco Ghionzoli, Yary Volpe, et al.. (2018). A Novel Objective Approach to the External Measurement of Pectus Excavatum Severity by Means of an Optical Device. The Annals of Thoracic Surgery. 106(1). 221–227. 17 indexed citations
14.
Carfagni, Monica, Flavio Facchini, Rocco Furferi, et al.. (2018). Towards a CAD-based automatic procedure for patient specific cutting guides to assist sternal osteotomies in pectus arcuatum surgical correction. Journal of Computational Design and Engineering. 6(1). 118–127. 12 indexed citations
15.
Volpe, Yary, Rocco Furferi, Lapo Governi, et al.. (2018). Surgery of complex craniofacial defects: A single-step AM-based methodology. Computer Methods and Programs in Biomedicine. 165. 225–233. 24 indexed citations
16.
Carfagni, Monica, Flavio Facchini, Rocco Furferi, et al.. (2017). A semi-automatic computer-aided method for personalized Vacuum Bell design. Computer-Aided Design and Applications. 15(2). 247–255. 5 indexed citations
17.
Furferi, Rocco, Lapo Governi, Francesca Uccheddu, & Yary Volpe. (2017). Computer-aided design tool for GT ventilation system ductworks. Computer-Aided Design and Applications. 15(2). 170–179. 2 indexed citations
18.
Uccheddu, Francesca, et al.. (2011). A greedy multiresolution method for quasi automatic texture mapping. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8085. 80850M–80850M. 1 indexed citations
19.
Uccheddu, Francesca, Alessia De Rosa, Alessandro Piva, & Mauro Barni. (2010). Detection of resampled images: Performance analysis and practical challenges. Use Siena air (University of Siena). 1675–1679. 3 indexed citations
20.
Uccheddu, Francesca, Andrea Del Mastio, Fabio Remondino, Anna Pelagotti, & V. Cappellini. (2009). Texture mapping of flat-like 3D models. Florence Research (University of Florence). 36. 1–6. 3 indexed citations

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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