Andrea Torsello

3.7k total citations
114 papers, 2.2k citations indexed

About

Andrea Torsello is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Andrea Torsello has authored 114 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Computer Vision and Pattern Recognition, 29 papers in Artificial Intelligence and 18 papers in Aerospace Engineering. Recurrent topics in Andrea Torsello's work include Advanced Vision and Imaging (23 papers), Advanced Image and Video Retrieval Techniques (19 papers) and Robotics and Sensor-Based Localization (18 papers). Andrea Torsello is often cited by papers focused on Advanced Vision and Imaging (23 papers), Advanced Image and Video Retrieval Techniques (19 papers) and Robotics and Sensor-Based Localization (18 papers). Andrea Torsello collaborates with scholars based in Italy, United Kingdom and Germany. Andrea Torsello's co-authors include Andrea Albarelli, Emanuele Rodolà, Filippo Bergamasco, Edwin R. Hancock, Marcello Pelillo, Luca Cosmo, Luca Rossi, Samuel Rota Bulò, Daniel Cremers and Alvise Benetazzo and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Andrea Torsello

109 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrea Torsello Italy	28	1.2k	460	403	391	265	114	2.2k
Β.N. Chatterji India	22	2.4k 2.0×	392 0.9×	361 0.9×	155 0.4×	52 0.2×	104	3.4k
Kim L. Boyer United States	28	2.0k 1.6×	482 1.0×	396 1.0×	160 0.4×	200 0.8×	113	2.9k
Gaofeng Meng China	27	2.6k 2.2×	157 0.3×	779 1.9×	332 0.8×	171 0.6×	89	3.7k
Yue Wu China	35	1.6k 1.3×	881 1.9×	781 1.9×	362 0.9×	304 1.1×	211	4.1k
L.D. Hostetler United States	10	1.2k 1.0×	424 0.9×	882 2.2×	94 0.2×	53 0.2×	16	2.6k
Joseph M. Francos Israel	16	703 0.6×	281 0.6×	222 0.6×	104 0.3×	35 0.1×	101	1.3k
Robert M. Haralick United States	26	1.5k 1.3×	374 0.8×	661 1.6×	128 0.3×	70 0.3×	109	2.9k
Chun Yuan China	26	1.4k 1.2×	163 0.4×	684 1.7×	264 0.7×	61 0.2×	201	2.6k
Bruce J. Schachter United States	10	476 0.4×	180 0.4×	118 0.3×	221 0.6×	80 0.3×	23	1.4k

Countries citing papers authored by Andrea Torsello

Since Specialization

Citations

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

Fields of papers citing papers by Andrea Torsello

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Torsello

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

All Works

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20 of 20 papers shown

Cosmo, Luca, et al.. (2023). GNN-LoFI: A novel graph neural network through localized feature-based histogram intersection. Pattern Recognition. 148. 110210–110210. 2 indexed citations

Bergamasco, Filippo, et al.. (2022). Deep Demosaicing for Polarimetric Filter Array Cameras. IEEE Transactions on Image Processing. 31. 2017–2026. 22 indexed citations

Krzyżak, Adam, et al.. (2022). Structural, Syntactic, and Statistical Pattern Recognition. Lecture notes in computer science. 8 indexed citations

Torsello, Andrea, et al.. (2022). GAMS: Graph Augmentation with Module Swapping. ARCA (Università Ca' Foscari Venezia). 249–255. 1 indexed citations

Bergamasco, Filippo, Andrea Torsello, Francesco Barbariol, et al.. (2021). A Physics-Driven CNN Model for Real-Time Sea Waves 3D Reconstruction. Remote Sensing. 13(18). 3780–3780. 16 indexed citations

Bergamasco, Filippo, et al.. (2020). Cylinders extraction in non-oriented point clouds as a clustering problem. Pattern Recognition. 107. 107443–107443. 17 indexed citations

Traviglia, Arianna & Andrea Torsello. (2017). Landscape Pattern Detection in Archaeological Remote Sensing. Geosciences. 7(4). 128–128. 52 indexed citations

Cosmo, Luca, Emanuele Rodolà, Michael M. Bronstein, et al.. (2016). Partial Matching of Deformable Shapes. IRIS Research product catalog (Sapienza University of Rome). 21 indexed citations

Comin, César H., Thomas Peron, Filipi N. Silva, et al.. (2015). Thermodynamic characterization of networks using graph polynomials. Physical Review E. 92(3). 32810–32810. 19 indexed citations

10.

Rossi, Luca, Andrea Torsello, & Edwin R. Hancock. (2015). Measuring graph similarity through continuous-time quantum walks and the quantum Jensen-Shannon divergence. Physical Review E. 91(2). 22815–22815. 27 indexed citations

11.

Rossi, Luca & Andrea Torsello. (2012). An Adaptive Hierarchical Approach to the Extraction of High Resolution Medial Surfaces. ARCA (Università Ca' Foscari Venezia). 371–378. 4 indexed citations

12.

Bergamasco, Filippo, Andrea Albarelli, Emanuele Rodolà, & Andrea Torsello. (2011). RUNE-Tag: A high accuracy fiducial marker with strong occlusion resilience. IRIS Research product catalog (Sapienza University of Rome). 113–120. 79 indexed citations

13.

Bergamasco, Filippo, Andrea Albarelli, & Andrea Torsello. (2011). Image-Space Marker Detection and Recognition Using Projective Invariants. ARCA (Università Ca' Foscari Venezia). 381–388. 11 indexed citations

14.

Albarelli, Andrea, Emanuele Rodolà, & Andrea Torsello. (2010). Robust Game-Theoretic Inlier Selection for Bundle Adjustment. ARCA (Università Ca' Foscari Venezia). 1–8. 3 indexed citations

15.

Albarelli, Andrea, Emanuele Rodolà, Laura Cavallarin, & Andrea Torsello. (2010). Robust Figure Extraction on Textured Background: A Game-Theoretic Approach. IRIS Research product catalog (Sapienza University of Rome). 1. 360–363. 3 indexed citations

16.

Torsello, Andrea, Francisco Escolano, & Luc Brun. (2009). Graph-based representations in pattern recognition : 7th IAPR-TC-15 International Workshop, GbRPR 2009, Venice, Italy, May 26-28, 2009 : proceedings. Springer eBooks. 4 indexed citations

17.

Albarelli, Andrea, et al.. (2008). Using Dominant Sets for Object Tracking with Freely Moving Camera. SPIRE - Sciences Po Institutional REpository. 4 indexed citations

18.

Pelillo, Marcello & Andrea Torsello. (2006). Payoff-Monotonic Game Dynamics and the Maximum Clique Problem. Neural Computation. 18(5). 1215–1258. 17 indexed citations

19.

Torsello, Andrea & Edwin R. Hancock. (2004). A skeletal measure of 2D shape similarity. Computer Vision and Image Understanding. 95(1). 1–29. 42 indexed citations

20.

Torsello, Andrea & Edwin R. Hancock. (2003). Computing approximate tree edit distance using relaxation labeling. Pattern Recognition Letters. 24(8). 1089–1097. 36 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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