Giacomo Boracchi
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 1%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Co-authors
- Cesare AlippiAlessandro FoiManuel RoveriGianluca BontempiOlivier CaelenAndrea Dal PozzoloKaren EgiazarianMatteo Maggioni
- Topics
- Anomaly Detection Techniques and Applications (24 papers)Data Stream Mining Techniques (16 papers)Image Processing Techniques and Applications (16 papers)
- Journals
- IEEE Transactions on Image ProcessingPattern RecognitionInternational Journal of Computer Vision
- Partner nations
- ItalyFinlandUnited States
In The Last Decade
Giacomo Boracchi
79 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Artificial Intelligence 904
- Computer Vision and Pattern Recognition 659
- Media Technology 325
- Electrical and Electronic Engineering 210
- Biomedical Engineering 174
Countries citing papers authored by Giacomo Boracchi
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 13 | |
| 8 | 1 | |
| 9 | QuantTree: Histograms for change detection in multivariate data streams | 17 |
| 10 | Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategybreakdown → | 338 |
| 11 | 8 | |
| 12 | 12 | |
| 13 | Anisotropic Foveated Self-Similarity | 3 |
| 14 | 258 | |
| 15 | 43 | |
| 16 | 18 | |
| 17 | 27 | |
| 18 | Single-image 3D Reconstruction of Ball Velocity and Spin from Motion Blur | 3 |
| 19 | 2 | |
| 20 | 2 |
About Giacomo Boracchi
Giacomo Boracchi is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 85 papers that have together received 1.8k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (24 papers), Data Stream Mining Techniques (16 papers) and Image Processing Techniques and Applications (16 papers). The work is most often cited by research in Media Technology (325 citations), Computer Vision and Pattern Recognition (659 citations) and Artificial Intelligence (904 citations). Giacomo Boracchi has collaborated with scholars based in Italy, Finland and United States. Frequent 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. Their work appears in journals such as IEEE Transactions on Image Processing, Pattern Recognition and International Journal of Computer Vision.
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.