Umberto Castellani

3.0k total citations
91 papers, 1.5k citations indexed

About

Umberto Castellani is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Umberto Castellani has authored 91 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Computer Vision and Pattern Recognition, 31 papers in Computational Mechanics and 16 papers in Aerospace Engineering. Recurrent topics in Umberto Castellani's work include 3D Shape Modeling and Analysis (30 papers), Image Retrieval and Classification Techniques (23 papers) and Robotics and Sensor-Based Localization (16 papers). Umberto Castellani is often cited by papers focused on 3D Shape Modeling and Analysis (30 papers), Image Retrieval and Classification Techniques (23 papers) and Robotics and Sensor-Based Localization (16 papers). Umberto Castellani collaborates with scholars based in Italy, France and United States. Umberto Castellani's co-authors include Vittorio Murino, Marco Cristani, Simone Melzi, Michael M. Bronstein, Andrea Fusiello, Marcella Bellani, Paolo Brambilla, Giorgio Roffo, Alessandro Vinciarelli and Alessandro Perina and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage and ACM Transactions on Graphics.

In The Last Decade

Umberto Castellani

82 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Umberto Castellani Italy 22 939 514 286 219 207 91 1.5k
Haili Chui United States 10 1.5k 1.6× 404 0.8× 765 2.7× 111 0.5× 103 0.5× 12 2.0k
Amar Mitiche Canada 29 1.8k 1.9× 180 0.4× 387 1.4× 366 1.7× 150 0.7× 137 2.5k
Sung Yong Shin South Korea 27 2.1k 2.3× 553 1.1× 141 0.5× 124 0.6× 84 0.4× 73 2.9k
Hwann-Tzong Chen Taiwan 22 2.2k 2.3× 326 0.6× 238 0.8× 366 1.7× 100 0.5× 57 2.5k
Mohamed Daoudi France 28 2.2k 2.3× 614 1.2× 139 0.5× 305 1.4× 106 0.5× 125 2.7k
Dimitrios Zarpalas Greece 24 1.1k 1.2× 194 0.4× 434 1.5× 134 0.6× 26 0.1× 85 1.6k
Niklas Peinecke Germany 13 491 0.5× 425 0.8× 284 1.0× 54 0.2× 45 0.2× 73 1.1k
Fayao Liu Singapore 17 2.1k 2.2× 118 0.2× 399 1.4× 571 2.6× 39 0.2× 52 2.6k
Gianfranco Doretto United States 20 1.9k 2.0× 140 0.3× 132 0.5× 689 3.1× 70 0.3× 63 2.5k
Shiaofen Fang United States 19 400 0.4× 327 0.6× 51 0.2× 94 0.4× 63 0.3× 91 1.1k

Countries citing papers authored by Umberto Castellani

Since Specialization
Citations

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

Fields of papers citing papers by Umberto Castellani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Umberto Castellani

This figure shows the co-authorship network connecting the top 25 collaborators of Umberto Castellani. A scholar is included among the top collaborators of Umberto Castellani 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 Umberto Castellani. Umberto Castellani 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
1.
Giachetti, Andrea, et al.. (2026). Foreword to the Special Section on Smart Tools and Applications in Graphics (STAG 2024). Computers & Graphics. 135. 104533–104533.
2.
Masi, Federico De, et al.. (2025). Point cloud segmentation for 3D Clothed Human Layering. Computers & Graphics. 132. 104393–104393. 1 indexed citations
3.
Melzi, Simone, et al.. (2023). GIM3D plus: A labeled 3D dataset to design data-driven solutions for dressed humans. Graphical Models. 129. 101187–101187. 4 indexed citations
4.
Marin, Riccardo, et al.. (2021). A functional skeleton transfer. BOA (University of Milano-Bicocca).
5.
Piccinelli, Marco, Andrea Gagliardo, Umberto Castellani, & Riccardo Muradore. (2021). Trajectory planning using Mixed Reality: an experimental validation. 982–987. 4 indexed citations
6.
Marin, Riccardo, Simone Melzi, Emanuele Rodolà, & Umberto Castellani. (2020). FARM: Functional Automatic Registration Method for 3D Human Bodies. BOA (University of Milano-Bicocca). 35 indexed citations
7.
Roffo, Giorgio, Simone Melzi, Umberto Castellani, Alessandro Vinciarelli, & Marco Cristani. (2020). Infinite Feature Selection: A Graph-based Feature Filtering Approach. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(12). 4396–4410. 136 indexed citations
8.
Melzi, Simone, Maks Ovsjanikov, Giorgio Roffo, Marco Cristani, & Umberto Castellani. (2018). Discrete Time Evolution Process Descriptor for Shape Analysis and Matching. ACM Transactions on Graphics. 37(1). 1–18. 14 indexed citations
9.
Peruzzo, Denis, Filippo Arrigoni, Fabio Triulzi, et al.. (2016). A framework for the automatic detection and characterization of brain malformations: Validation on the corpus callosum. Medical Image Analysis. 32. 233–242. 5 indexed citations
10.
Ulaş, Aydın, et al.. (2014). A Multiple Kernel Learning Approach to Multi-Modal Pedestrian Classification. 2 indexed citations
11.
Castellani, Umberto, et al.. (2012). Automatic Multi-view Surface Matching. Eurographics. 25–28. 2 indexed citations
12.
Ulaş, Aydın, Robert P. W. Duin, Umberto Castellani, et al.. (2011). Dissimilarity‐based detection of schizophrenia. International Journal of Imaging Systems and Technology. 21(2). 179–192. 16 indexed citations
13.
Perina, Alessandro, Marco Cristani, Umberto Castellani, Vittorio Murino, & Nebojša Jojić. (2009). Free energy score space. Neural Information Processing Systems. 22. 1428–1436. 14 indexed citations
14.
Perina, Alessandro, Marco Cristani, Umberto Castellani, Vittorio Murino, & Nebojša Jojić. (2009). A hybrid generative/discriminative classification framework based on free-energy terms. Zenodo (CERN European Organization for Nuclear Research). 2058–2065. 19 indexed citations
15.
Castellani, Umberto, et al.. (2009). Semantic Shape Context for the Registration of Multiple Partial 3D Views. 102.1–102.11. 7 indexed citations
16.
Castellani, Umberto, Vincent Gay‐Bellile, & Adrien Bartoli. (2008). Robust deformation capture from temporal range data for surface rendering. Computer Animation and Virtual Worlds. 19(5). 591–603. 1 indexed citations
17.
Cristani, Marco, Umberto Castellani, & Vittorio Murino. (2006). Adaptive Feature Integration for Segmentation of 3D Data by Unsupervised Density Estimation. 21–24. 2 indexed citations
18.
Castellani, Umberto, Andrea Fusiello, Valerio Marino, Laura Papaleo, & Enrico Puppo. (2005). Efficient on-line mosalcing from 3d acoustical images. CINECA IRIS Institutial Research Information System (University of Genoa). 2. 670–677. 9 indexed citations
19.
Castellani, Umberto, et al.. (2004). Robust 3D segmentation for underwater acoustic images. 813–819. 4 indexed citations
20.
Castellani, Umberto, Vittorio Murino, & Li Tao. (2004). Efficient scene modeling for underwater ROV driving. 45. 47–52. 1 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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