Giacomo Boracchi

3.1k total citations · 1 hit paper
85 papers, 1.8k citations indexed

About

Giacomo Boracchi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Giacomo Boracchi has authored 85 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 28 papers in Computer Vision and Pattern Recognition and 20 papers in Media Technology. Recurrent topics in Giacomo Boracchi's work include Anomaly Detection Techniques and Applications (24 papers), Data Stream Mining Techniques (16 papers) and Image Processing Techniques and Applications (16 papers). Giacomo Boracchi is often cited by papers focused on Anomaly Detection Techniques and Applications (24 papers), Data Stream Mining Techniques (16 papers) and Image Processing Techniques and Applications (16 papers). Giacomo Boracchi collaborates with scholars based in Italy, Finland and United States. Giacomo Boracchi's co-authors include Cesare Alippi, Alessandro Foi, Manuel Roveri, Gianluca Bontempi, Olivier Caelen, Andrea Dal Pozzolo, Karen Egiazarian, Matteo Maggioni, Diego Carrera and Brendt Wohlberg and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and International Journal of Computer Vision.

In The Last Decade

Giacomo Boracchi

79 papers receiving 1.8k 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.

Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy

2017 338 citations Andrea Dal Pozzolo, Giacomo Boracchi et al. IEEE Transactions on Neural Networks and Learning Systems profile →

Peers

Giacomo Boracchi

AI

CVPR

MT

EEE

BE

Djamila Aouada Luxembourg

Daniel Yeung China

Xiang Yu China

Weihua Ou China

Nishchal K. Verma India

Yiguang Liu China

Mingbo Zhao China

Xin Gao China

Yong Luo China

Shoab Ahmed Khan Pakistan

Djamila Aouada Luxembourg

Giacomo Boracchi

776 ×0.9

AI

651 ×1.0

CVPR

177 ×0.5

MT

116 ×0.6

EEE

111 ×0.6

BE

Citations per year, relative to Giacomo Boracchi Giacomo Boracchi (= 1×) peers Djamila Aouada

Countries citing papers authored by Giacomo Boracchi

Since Specialization

Citations

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

Fields of papers citing papers by Giacomo Boracchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giacomo Boracchi

This figure shows the co-authorship network connecting the top 25 collaborators of Giacomo Boracchi. A scholar is included among the top collaborators of Giacomo Boracchi 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 Giacomo Boracchi. Giacomo Boracchi 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

1.

Magri, Luca, et al.. (2025). Preference isolation forest for structure-based anomaly detection. Pattern Recognition. 172. 112405–112405.

2.

Rossi, Beatrice, et al.. (2024). SemiFDA: Domain Adaptation in Semi-Supervised Federated Learning. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 687–692.

3.

Magri, Luca, et al.. (2024). An Expert-Driven Data Generation Pipeline for Histological Images. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–5. 1 indexed citations

4.

Boracchi, Giacomo, et al.. (2024). SE3D: A Framework for Saliency Method Evaluation in 3D Imaging. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 89–95. 2 indexed citations

5.

Boracchi, Giacomo, et al.. (2023). Multi-body Depth and Camera Pose Estimation from Multiple Views. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 27. 17758–17768. 4 indexed citations

6.

Rossi, Beatrice, et al.. (2023). On-Device Personalization for Human Activity Recognition on STM32. IEEE Embedded Systems Letters. 16(2). 106–109. 2 indexed citations

7.

Lebichot, Bertrand, et al.. (2022). The role of diversity and ensemble learning in credit card fraud detection. Advances in Data Analysis and Classification. 18(1). 193–217. 13 indexed citations

8.

Magri, Luca, et al.. (2021). Synchronization of Group-labelled Multi-graphs. Institutional Research Information System (University of Udine). 1 indexed citations

9.

Boracchi, Giacomo, Diego Carrera, Cristiano Cervellera, & Danilo Macciò. (2018). QuantTree: Histograms for change detection in multivariate data streams. International Conference on Machine Learning. 2. 639–648. 17 indexed citations

10.

Pozzolo, Andrea Dal, Giacomo Boracchi, Olivier Caelen, Cesare Alippi, & Gianluca Bontempi. (2017). Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy. IEEE Transactions on Neural Networks and Learning Systems. 29(8). 3784–3797. 338 indexed citations breakdown →

11.

Carrera, Diego, Beatrice Rossi, Pasqualina Fragneto, & Giacomo Boracchi. (2017). Domain Adaptation for Online ECG Monitoring. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 775–780. 8 indexed citations

12.

Boracchi, Giacomo, Michalis P. Michaelides, & Manuel Roveri. (2016). A Cognitive Monitoring System for Detecting and Isolating Contaminants and Faults in Intelligent Buildings. IEEE Transactions on Systems Man and Cybernetics Systems. 48(3). 433–447. 12 indexed citations

13.

Foi, Alessandro & Giacomo Boracchi. (2013). Anisotropic Foveated Self-Similarity. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1. 3 indexed citations

14.

Maggioni, Matteo, Giacomo Boracchi, Alessandro Foi, & Karen Egiazarian. (2012). Video Denoising, Deblocking, and Enhancement Through Separable 4-D Nonlocal Spatiotemporal Transforms. IEEE Transactions on Image Processing. 21(9). 3952–3966. 258 indexed citations

15.

Alippi, Cesare, Giacomo Boracchi, & Manuel Roveri. (2011). A just-in-time adaptive classification system based on the intersection of confidence intervals rule. Neural Networks. 24(8). 791–800. 43 indexed citations

16.

Boracchi, Giacomo & Alessandro Foi. (2010). Uniform Motion Blur in Poissonian Noise: Blur/Noise Tradeoff. IEEE Transactions on Image Processing. 20(2). 592–598. 18 indexed citations

17.

Alippi, Cesare, Giacomo Boracchi, & Manuel Roveri. (2009). Just in time classifiers: Managing the slow drift case. 114–120. 27 indexed citations

18.

Boracchi, Giacomo, Vincenzo Caglioti, & Alessandro Giusti. (2008). Single-image 3D Reconstruction of Ball Velocity and Spin from Motion Blur. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 22–29. 3 indexed citations

19.

Boracchi, Giacomo & Vincenzo Caglioti. (2007). Corner Displacement from Motion Blur. 589–594. 2 indexed citations

20.

Boracchi, Giacomo & Vincenzo Caglioti. (2007). Corner Displacement from Motion Blur. 589–594. 2 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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