Antonio Greco

1.3k total citations
50 papers, 676 citations indexed

About

Antonio Greco is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Antonio Greco has authored 50 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 14 papers in Signal Processing and 12 papers in Artificial Intelligence. Recurrent topics in Antonio Greco's work include Video Surveillance and Tracking Methods (16 papers), Face recognition and analysis (14 papers) and Face and Expression Recognition (8 papers). Antonio Greco is often cited by papers focused on Video Surveillance and Tracking Methods (16 papers), Face recognition and analysis (14 papers) and Face and Expression Recognition (8 papers). Antonio Greco collaborates with scholars based in Italy, Netherlands and Malta. Antonio Greco's co-authors include Mario Vento, Alessia Saggese, Vincenzo Carletti, Pasquale Foggia, Gennaro Percannella, George Azzopardi, Nicolai Petkov, Diego Gragnaniello, Carlo Sansone and Nicola Strisciuglio 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

Antonio Greco

48 papers receiving 658 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antonio Greco Italy 16 430 203 147 72 50 50 676
S. M. Mahbubur Rahman Bangladesh 12 366 0.9× 155 0.8× 178 1.2× 26 0.4× 36 0.7× 48 713
Rodrigo F. Berriel Brazil 12 273 0.6× 181 0.9× 50 0.3× 15 0.2× 57 1.1× 24 533
M. A. Ansari India 13 339 0.8× 166 0.8× 44 0.3× 42 0.6× 14 0.3× 112 734
Hyung Hong South Korea 15 883 2.1× 92 0.5× 265 1.8× 11 0.2× 42 0.8× 27 1.2k
Hua Chai China 13 125 0.3× 213 1.0× 61 0.4× 97 1.3× 41 0.8× 44 570
Alireza Ahmadyfard Iran 15 301 0.7× 162 0.8× 63 0.4× 8 0.1× 39 0.8× 64 773
Haoran Wei United States 12 207 0.5× 109 0.5× 38 0.3× 29 0.4× 6 0.1× 31 429
Naeem Iqbal Ratyal Pakistan 13 350 0.8× 55 0.3× 40 0.3× 30 0.4× 45 0.9× 32 588
Mohammed Rziza Morocco 13 398 0.9× 82 0.4× 130 0.9× 6 0.1× 84 1.7× 89 651
Earnest Paul Ijjina India 12 394 0.9× 232 1.1× 35 0.2× 5 0.1× 30 0.6× 21 641

Countries citing papers authored by Antonio Greco

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Greco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Greco

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Greco. A scholar is included among the top collaborators of Antonio Greco 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 Antonio Greco. Antonio Greco 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.
Gragnaniello, Diego, et al.. (2025). FOCUS: Improving fire detection on videos by scenario adaptation. Image and Vision Computing. 162. 105679–105679.
2.
Azzopardi, George, Antonio Greco, & Mario Vento. (2025). FaiResGAN: Fair and robust blind face restoration with biometrics preservation. Image and Vision Computing. 160. 105575–105575.
3.
Gragnaniello, Diego, et al.. (2025). Video Fire Recognition Using Zero-Shot Vision-Language Models Guided by a Task-Aware Object Detector. ACM Transactions on Multimedia Computing Communications and Applications. 21(10). 1–24. 1 indexed citations
4.
Gragnaniello, Diego, et al.. (2025). FLAME: fire detection in videos combining a deep neural network with a model-based motion analysis. Neural Computing and Applications. 37(8). 6181–6197. 4 indexed citations
5.
6.
Gragnaniello, Diego, et al.. (2024). Real-time joint recognition of weather and ground surface conditions by a multi-task deep network. Engineering Applications of Artificial Intelligence. 139. 109543–109543. 1 indexed citations
7.
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
8.
Carletti, Vincenzo, et al.. (2024). Enhancing Safety by Obstacle Detection at Railway Level Crossings. 482–487. 2 indexed citations
9.
Foggia, Pasquale, et al.. (2024). Identity, Gender, Age, and Emotion Recognition from Speaker Voice with Multi-task Deep Networks for Cognitive Robotics. Cognitive Computation. 16(5). 2713–2723. 7 indexed citations
10.
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
11.
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
12.
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
13.
Greco, Antonio, Gennaro Percannella, Pierluigi Ritrovato, Alessia Saggese, & Mario Vento. (2022). A deep learning based system for handwashing procedure evaluation. Neural Computing and Applications. 35(22). 15981–15996. 6 indexed citations
14.
Becattini, Federico, Andrea Ferracani, Alberto Del Bimbo, et al.. (2022). I-MALL An Effective Framework for Personalized Visits. Improving the Customer Experience in Stores. Florence Research (University of Florence). 11–19. 1 indexed citations
15.
Greco, Antonio, et al.. (2022). Benchmarking deep networks for facial emotion recognition in the wild. Multimedia Tools and Applications. 82(8). 11189–11220. 21 indexed citations
16.
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
17.
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
18.
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
19.
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
20.
Carletti, Vincenzo, Antonio Greco, Alessia Saggese, & Mario Vento. (2019). An intelligent flying system for automatic detection of faults in photovoltaic plants. Journal of Ambient Intelligence and Humanized Computing. 11(5). 2027–2040. 62 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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