Stefano Alletto

36 total papers · 732 total citations
18 papers, 449 citations indexed

About

Stefano Alletto is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Stefano Alletto has authored 18 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 3 papers in Electrical and Electronic Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Stefano Alletto's work include Video Surveillance and Tracking Methods (10 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Human Pose and Action Recognition (5 papers). Stefano Alletto is often cited by papers focused on Video Surveillance and Tracking Methods (10 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Human Pose and Action Recognition (5 papers). Stefano Alletto collaborates with scholars based in Italy, United States and Israel. Stefano Alletto's co-authors include Rita Cucchiara, Giuseppe Serra, Simone Calderara, Vincenzo Mighali, Luigi Patrono, Luca Mainetti, Francesco Solera, Andrea Palazzi, Luca Rigazio and Yasunori Ishii and has published in prestigious journals such as Sensors, Pattern Recognition and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Stefano Alletto

18 papers receiving 426 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Stefano Alletto 246 115 110 68 50 18 449
Hongyu Li 304 1.2× 182 1.6× 88 0.8× 26 0.4× 72 1.4× 13 508
Jiang Lu 139 0.6× 81 0.7× 124 1.1× 33 0.5× 61 1.2× 34 458
Gorkem Kar 94 0.4× 104 0.9× 106 1.0× 48 0.7× 93 1.9× 16 468
István Barakonyi 290 1.2× 56 0.5× 142 1.3× 161 2.4× 29 0.6× 22 439
Samuli Hemminki 135 0.5× 42 0.4× 97 0.9× 60 0.9× 38 0.8× 11 471
Landu Jiang 68 0.3× 56 0.5× 109 1.0× 45 0.7× 34 0.7× 25 436
Vanja Garaj 129 0.5× 38 0.3× 143 1.3× 96 1.4× 53 1.1× 36 445
Celso De La Cruz 195 0.8× 100 0.9× 64 0.6× 105 1.5× 35 0.7× 27 478
Yu Zheng 321 1.3× 85 0.7× 54 0.5× 41 0.6× 117 2.3× 17 466
Tobias Große-Puppendahl 167 0.7× 63 0.5× 132 1.2× 270 4.0× 31 0.6× 27 549

Countries citing papers authored by Stefano Alletto

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Alletto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Alletto

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

All Works

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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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