Mario Vento

8.7k total citations · 3 hit papers
185 papers, 5.1k citations indexed

About

Mario Vento is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Mario Vento has authored 185 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Computer Vision and Pattern Recognition, 64 papers in Artificial Intelligence and 50 papers in Signal Processing. Recurrent topics in Mario Vento's work include Video Surveillance and Tracking Methods (48 papers), Advanced Image and Video Retrieval Techniques (29 papers) and Music and Audio Processing (26 papers). Mario Vento is often cited by papers focused on Video Surveillance and Tracking Methods (48 papers), Advanced Image and Video Retrieval Techniques (29 papers) and Music and Audio Processing (26 papers). Mario Vento collaborates with scholars based in Italy, Netherlands and France. Mario Vento's co-authors include Pasquale Foggia, Alessia Saggese, Gennaro Percannella, Carlo Sansone, Nicola Strisciuglio, Donatello Conte, Nicolai Petkov, George Azzopardi, Antonio Greco and Francesco Tortorella and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Mario Vento

173 papers receiving 4.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

THIRTY YEARS OF GRAPH MATCHING IN PATTERN RECOGNITION

2004 763 citations Donatello Conte, Pasquale Foggia et al. profile →
Trainable COSFIRE filters for vessel delineation with application to retinal images

2014 533 citations George Azzopardi, Nicola Strisciuglio et al. profile →
Real-Time Fire Detection for Video-Surveillance Applications Using a Combination of Experts Based on Color, Shape, and Motion

2015 313 citations Pasquale Foggia, Alessia Saggese et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mario Vento Italy	33	3.2k	1.7k	989	746	459	185	5.1k
Yiu‐ming Cheung Hong Kong	43	3.5k 1.1×	2.7k 1.6×	816 0.8×	405 0.5×	269 0.6×	362	6.8k
Amit Kumar Singh India	46	4.4k 1.4×	1.2k 0.7×	512 0.5×	553 0.7×	154 0.3×	267	7.2k
Shaozi Li China	37	6.1k 1.9×	2.6k 1.5×	278 0.3×	541 0.7×	96 0.2×	224	8.5k
Li Zhang China	45	2.4k 0.8×	2.4k 1.4×	454 0.5×	359 0.5×	59 0.1×	389	7.1k
Lin Zhang China	43	5.1k 1.6×	396 0.2×	1.4k 1.4×	707 0.9×	381 0.8×	309	7.7k
Shenghua Gao China	41	4.4k 1.4×	3.4k 2.0×	426 0.4×	318 0.4×	118 0.3×	111	6.7k
Anderson Rocha Brazil	36	3.0k 0.9×	1.2k 0.7×	1.2k 1.2×	411 0.6×	241 0.5×	206	4.8k
Fabio A. González Colombia	35	1.4k 0.5×	2.8k 1.7×	341 0.3×	1.4k 1.9×	175 0.4×	195	5.0k
Bingbing Ni China	43	5.5k 1.7×	2.9k 1.7×	362 0.4×	732 1.0×	43 0.1×	210	7.6k
Jane You Hong Kong	46	4.8k 1.5×	2.3k 1.4×	2.6k 2.6×	710 1.0×	357 0.8×	243	7.7k

Countries citing papers authored by Mario Vento

Since Specialization

Citations

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

Fields of papers citing papers by Mario Vento

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Vento

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Carletti, Vincenzo, Pasquale Foggia, Francesco Rosa, & Mario Vento. (2025). Detecting malicious IoT network communication through Graph Neural Networks in real-world conditions. Pattern Recognition Letters. 189. 92–98. 1 indexed citations

Azzopardi, George, Antonio Greco, & Mario Vento. (2025). FaiResGAN: Fair and robust blind face restoration with biometrics preservation. Image and Vision Computing. 160. 105575–105575.

Carletti, Vincenzo, et al.. (2024). Robust speech command recognition in challenging industrial environments. Computer Communications. 228. 107938–107938. 2 indexed citations

Marrone, Stefano, Giuseppe Cringoli, Laura Rinaldi, et al.. (2024). Automating parasite egg detection: insights from the first AI-KFM challenge. Frontiers in Artificial Intelligence. 7. 1325219–1325219. 3 indexed citations

Carletti, Vincenzo, Pasquale Foggia, Antonio Greco, Alessia Saggese, & Mario Vento. (2024). Facial Soft-biometrics Obfuscation through Adversarial Attacks. ACM Transactions on Multimedia Computing Communications and Applications. 20(11). 1–21. 3 indexed citations

Vento, Mario, Pasquale Foggia, Donatello Conte, & Vincenzo Carletti. (2023). Proceedings of the 13th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition. SPIRE - Sciences Po Institutional REpository.

Foggia, Pasquale, et al.. (2023). A Social Robot Architecture for Personalized Real-Time Human–Robot Interaction. IEEE Internet of Things Journal. 10(24). 22427–22439. 11 indexed citations

Gragnaniello, Diego, et al.. (2023). Benchmarking 2D Multi-Object Detection and Tracking Algorithms in Autonomous Vehicle Driving Scenarios. Sensors. 23(8). 4024–4024. 15 indexed citations

Foggia, Pasquale, et al.. (2023). Degramnet: effective audio analysis based on a fully learnable time–frequency representation. Neural Computing and Applications. 35(27). 20207–20219. 1 indexed citations

10.

Greco, Antonio, et al.. (2021). Vehicles Detection for Smart Roads Applications on Board of Smart Cameras: A Comparative Analysis. IEEE Transactions on Intelligent Transportation Systems. 23(7). 8077–8089. 3 indexed citations

11.

Greco, Antonio, et al.. (2020). A Convolutional Neural Network for Gender Recognition Optimizing the Accuracy/Speed Tradeoff. IEEE Access. 8. 130771–130781. 26 indexed citations

12.

Carletti, Vincenzo, Antonio Greco, Gennaro Percannella, & Mario Vento. (2020). Age from Faces in the Deep Learning Revolution. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(9). 2113–2132. 37 indexed citations

13.

Greco, Antonio, Nicolai Petkov, Alessia Saggese, & Mario Vento. (2020). AReN: A Deep Learning Approach for Sound Event Recognition Using a Brain Inspired Representation. IEEE Transactions on Information Forensics and Security. 15. 3610–3624. 43 indexed citations

14.

Loia, Vincenzo, et al.. (2017). Semantically Enhanced UAVs to Increase the Aerial Scene Understanding. IEEE Transactions on Systems Man and Cybernetics Systems. 49(3). 555–567. 29 indexed citations

15.

Carletti, Vincenzo, Pasquale Foggia, Alessia Saggese, & Mario Vento. (2017). Challenging the Time Complexity of Exact Subgraph Isomorphism for Huge and Dense Graphs with VF3. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(4). 804–818. 101 indexed citations

16.

Greco, Luca, Pierluigi Ritrovato, Alessia Saggese, & Mario Vento. (2016). Abnormal Event Recognition: A Hybrid Approach Using Semantic Web. Computer Vision and Pattern Recognition. 58–65. 9 indexed citations

17.

Strisciuglio, Nicola, George Azzopardi, Mario Vento, Nikolay Petkov, & Nicolai Petkov. (2015). Multiscale Blood Vessel Delineation Using B-COSFIRE Filters. Lecture notes in computer science. 9257. 15 indexed citations

18.

Hobson, Peter, Brian C. Lovell, Gennaro Percannella, Mario Vento, & Arnold Wiliem. (2014). Classifying Anti-nuclear Antibodies HEp-2 Images: A Benchmarking Platform. 3233–3238. 21 indexed citations

19.

Escolano, Francisco & Mario Vento. (2007). Graph-based representations in pattern recognition : 6th IAPR-TC-15 International Workshop, GbRPR 2007 Alicante, Spain, June 11-13, 2007 : proceedings. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 4 indexed citations

20.

Colace, Francesco, Massimo De Santo, Pasquale Foggia, & Mario Vento. (2003). Ontology Learning Through Bayesian Networks. International Conference on Enterprise Information Systems. 2. 430–433. 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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