Gian Luca Foresti

8.5k total citations · 1 hit paper
293 papers, 5.1k citations indexed

About

Gian Luca Foresti is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Gian Luca Foresti has authored 293 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 200 papers in Computer Vision and Pattern Recognition, 80 papers in Artificial Intelligence and 54 papers in Aerospace Engineering. Recurrent topics in Gian Luca Foresti's work include Video Surveillance and Tracking Methods (96 papers), Advanced Image and Video Retrieval Techniques (53 papers) and Robotics and Sensor-Based Localization (39 papers). Gian Luca Foresti is often cited by papers focused on Video Surveillance and Tracking Methods (96 papers), Advanced Image and Video Retrieval Techniques (53 papers) and Robotics and Sensor-Based Localization (39 papers). Gian Luca Foresti collaborates with scholars based in Italy, United Kingdom and United States. Gian Luca Foresti's co-authors include Christian Micheloni, Claudio Piciarelli, Niki Martinel, Lauro Snidaro, Danilo Avola, Luigi Cinque, Carlo Drioli, Daniele Salvati, Paolo Remagnino and Carlo S. Regazzoni and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Industrial Electronics and International Journal of Molecular Sciences.

In The Last Decade

Gian Luca Foresti

283 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.

Trajectory-Based Anomalous Event Detection

2008 355 citations Claudio Piciarelli, Christian Micheloni et al. profile →

Peers

Countries citing papers authored by Gian Luca Foresti

Since Specialization

Citations

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

Fields of papers citing papers by Gian Luca Foresti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gian Luca Foresti. 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 Gian Luca Foresti. The network helps show where Gian Luca Foresti may publish in the future.

Co-authorship network of co-authors of Gian Luca Foresti

This figure shows the co-authorship network connecting the top 25 collaborators of Gian Luca Foresti. A scholar is included among the top collaborators of Gian Luca Foresti 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 Gian Luca Foresti. Gian Luca Foresti 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

#	Work	Indexed citations
1	A Deep Learning Model Integrating Clinical and MRI Features Improves Risk Stratification and Reduces Unnecessary Biopsies in Men with Suspected Prostate Cancer 2025 ·Cancers ·(unknown), (unknown), Gianluca Giannarini, Lorenzo Cereser, Chiara Zuiani, Alessandro Crestani, Rossano Girometti, Gian Luca Foresti	0
2	Unsupervised Brain MRI Anomaly Detection via Inter-Realization Channels 2025 ·International Journal of Neural Systems ·(unknown), (unknown), (unknown), (unknown), Gian Luca Foresti	2
3	FL-W3S: Cross-domain federated learning for weakly supervised semantic segmentation of white blood cells 2025 ·International Journal of Medical Informatics ·(unknown), Rao Muhammad Umer, (unknown), Carsten Marr, Gian Luca Foresti	3
4	Multi-Modal Analysis of Bi-Parametric MRI Slices for Lesion Detection in Prostate Cancer Screening 2025 ·IEEE Access ·(unknown), (unknown), (unknown), Claudio Piciarelli, Gian Luca Foresti	0
5	Spatio-Temporal Image-Based Encoded Atlases for EEG Emotion Recognition 2024 ·International Journal of Neural Systems ·Danilo Avola, Luigi Cinque, A. Di Mambro, Alessio Fagioli, Marco Raoul Marini, Daniele Pannone, Bruno Fanini, Gian Luca Foresti	8
6	A One-Shot Learning Approach to Document Layout Segmentation of Ancient Arabic Manuscripts 2024 ·Institutional Research Information System (University of Udine) ·(unknown), (unknown), Claudio Piciarelli, (unknown), Gian Luca Foresti	1
7	A novel low cybersickness dynamic rotation gain enhancer based on spatial position and orientation in virtual environments 2023 ·Virtual Reality ·Danilo Avola, Luigi Cinque, Gian Luca Foresti, Marco Raoul Marini	5
8	Blockchain-Based Swarm Learning for the Mitigation of Gradient Leakage in Federated Learning 2023 ·IEEE Access ·(unknown), Rao Muhammad Umer, Gian Luca Foresti	20
9	Combining Deep Phenotyping of Serum Proteomics and Clinical Data via Machine Learning for COVID-19 Biomarker Discovery 2022 ·International Journal of Molecular Sciences ·Antonio Paolo Beltrami, Maria De Martino, Emiliano Dalla, Matilde Clarissa Malfatti, Federica Caponnetto, Marta Codrich, (unknown), Martina Fabris, Emanuela Sozio, Federica D’Aurizio, Carlo Pucillo, Leonardo A. Sechi, Carlo Tascini, Francesco Curcio, Gian Luca Foresti, Claudio Piciarelli, (unknown), Gianluca Tell, Miriam Isola	9
10	An Intelligent Auto-Organizing Aerial Robotic Sensor Network System for Urban Surveillance 2021 ·Journal of Intelligent & Robotic Systems ·(unknown), Niki Martinel, Sunan Huang, Christian Micheloni, Gian Luca Foresti, Rodney Teo	13
11	Lord of the Rings: Hanoi Pooling and Self-Knowledge Distillation for Fast and Accurate Vehicle Reidentification 2021 ·IEEE Transactions on Industrial Informatics ·Niki Martinel, Matteo Dunnhofer, (unknown), Gian Luca Foresti, Christian Micheloni	17
12	Deep generative adversarial residual convolutional networks for real-world super-resolution 2020 ·Institutional Research Information System (University of Udine) ·Rao Muhammad Umer, Gian Luca Foresti, Christian Micheloni	35
13	Artifact “Metaphors”: Gaining capability using “Wrong” tools 2015 ·Institutional Research Information System (University of Udine) ·(unknown), Lauro Snidaro, Gian Luca Foresti	1
14	Markov Logic Networks for context integration and situation assessment in maritime domain 2012 ·Institutional Research Information System (University of Udine) ·Lauro Snidaro, (unknown), Karna Bryan, Gian Luca Foresti	10
15	A MICROPHONE ARRAY INTERFACE FOR REAL-TIME INTERACTIVE MUSIC PERFORMANCE 2012 ·International Computer Music Conference ·Daniele Salvati, Sergio Canazza, Gian Luca Foresti	2
16	Contexts, co-texts and situations in fusion domain 2011 ·Institutional Research Information System (University of Udine) ·(unknown), Lauro Snidaro, Gian Luca Foresti	9
17	Reactive Learning Strategy for AsymBoost Based Face Detectors 2007 ·(unknown), Christian Micheloni, Gian Luca Foresti	2
18	ADVANCED VISUAL-BASED TRAFFIC MONITORING SYSTEMS FOR INCREASING SAFETY IN ROAD TRANSPORTATION 2003 ·Advances in transportation studies ·Gian Luca Foresti, (unknown), Lauro Snidaro	6
19	Multimedia Video-Based Surveillance Systems: Requirements, Issues and Solutions 2000 ·Kluwer Academic Publishers eBooks ·Gian Luca Foresti, Petri Mähönen, Carlo S. Regazzoni	39
20	Map-Driven Image Interpretation by Associative Model Indexing. 1990 ·Machine Vision and Applications ·Gian Luca Foresti, Vittorio Murino, Carlo S. Regazzoni, Rodolfo Zunino	2

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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