Fabio Galasso
Impact in
-
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Advanced Vision and Imaging
- Visual Attention and Saliency Detection
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety
Papers in
-
- Video Surveillance and Tracking Methods 11
- Human Pose and Action Recognition 11
- Advanced Neural Network Applications 5
- Advanced Image and Video Retrieval Techniques 5
- Multimodal Machine Learning Applications 4
- Visual Attention and Saliency Detection 4
-
- Anomaly Detection Techniques and Applications 9
- Co-authors
- Sikandar Amin (5 shared papers)Bernt Schiele (3 shared papers)Federico Tombari (3 shared papers)Roberto Cipolla (2 shared papers)Thomas Brox (2 shared papers)Vijay Badrinarayanan (1 shared paper)Marco Cristani (8 shared papers)Irtiza Hasan (8 shared papers)
- Journals
- Pattern Recognition (3 papers)Artificial Intelligence in Medicine (1 paper)Image and Vision Computing (1 paper)Nature Communications (1 paper)ACM Computing Surveys (1 paper)
- Partner nations
- ItalyGermanyUnited States
In The Last Decade
Fabio Galasso
35 papers receiving 869 citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 691
- Automotive Engineering 112
- Artificial Intelligence 269
- Safety, Risk, Reliability and Quality 52
- Signal Processing 37
Countries citing papers authored by Fabio Galasso
This map shows the geographic impact of Fabio Galasso'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 Fabio Galasso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Galasso more than expected).
Fields of papers citing papers by Fabio Galasso
This network shows the impact of papers produced by Fabio Galasso. 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 Fabio Galasso. The network helps show where Fabio Galasso may publish in the future.
Co-authors
The 25 scholars most cited alongside Fabio Galasso, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 104 | |
| 2 | 2021 | 95 | |
| 3 | 2013 | 95 | |
| 4 | 2010 | 88 | |
| 5 | 2018 | 81 | |
| 6 | 2022 | 59 | |
| 7 | 2022 | 49 | |
| 8 | 2014 | 41 | |
| 9 | 2020 | 31 | |
| 10 | 2015 | 30 | |
| 11 | 2023 | 30 | |
| 12 | 2022 | 26 | |
| 13 | 2017 | 22 | |
| 14 | 2023 | 14 | |
| 15 | 2020 | 13 | |
| 16 | 2022 | 12 | |
| 17 | 2018 | 11 | |
| 18 | 2023 | 9 | |
| 19 | 2022 | 8 | |
| 20 | 2007 | 8 |
About Fabio Galasso
Fabio Galasso is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Automotive Engineering, having authored 37 papers that have together received 893 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (11 papers), Human Pose and Action Recognition (11 papers), Anomaly Detection Techniques and Applications (9 papers), Advanced Neural Network Applications (5 papers), Time Series Analysis and Forecasting (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Multimodal Machine Learning Applications (4 papers) and Visual Attention and Saliency Detection (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (691 citations), Automotive Engineering (112 citations), Artificial Intelligence (269 citations), Safety, Risk, Reliability and Quality (52 citations) and Signal Processing (37 citations). Fabio Galasso has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Sikandar Amin, Bernt Schiele, Federico Tombari, Roberto Cipolla, Thomas Brox, Vijay Badrinarayanan, Marco Cristani, Irtiza Hasan, Alessio Del Bue and Francesco Setti. Their work appears in journals such as Pattern Recognition, Artificial Intelligence in Medicine, Image and Vision Computing, Nature Communications and ACM Computing Surveys.
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.