Davide Abati
Impact in
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
- Adversarial Robustness in Machine Learning
-
- Network Security and Intrusion Detection
Papers in
-
- Visual Attention and Saliency Detection 2
- Advanced Image and Video Retrieval Techniques 2
- Advanced Vision and Imaging 2
- Video Surveillance and Tracking Methods 1
- Face and Expression Recognition 1
- Advanced Image Processing Techniques 1
- Co-authors
- Rita Cucchiara (5 shared papers)Simone Calderara (3 shared papers)Angelo Porrello (2 shared papers)Stefano Alletto (3 shared papers)Giuseppe Serra (2 shared papers)Amirhossein Habibian (1 shared paper)Markus Nagel (1 shared paper)Luca Rigazio (1 shared paper)
- Journals
- Sensors (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)arXiv (Cornell University) (1 paper)IRIS UNIMORE (University of Modena and Reggio Emilia) (2 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Davide Abati
6 papers receiving 318 citations
Davide Abati's Hit Papers
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 294
- Computer Networks and Communications 146
- Computer Vision and Pattern Recognition 106
- Signal Processing 31
- Industrial and Manufacturing Engineering 17
Countries citing papers authored by Davide Abati
This map shows the geographic impact of Davide Abati'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 Davide Abati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Abati more than expected).
Fields of papers citing papers by Davide Abati
This network shows the impact of papers produced by Davide Abati. 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 Davide Abati. The network helps show where Davide Abati may publish in the future.
Co-authors
The 8 scholars most cited alongside Davide Abati, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Latent Space Autoregression for Novelty Detection Hit paper breakdown → | 2019 | 305 |
| 2 | 2016 | 6 | |
| 3 | 2018 | 6 | |
| 4 | 2019 | 4 | |
| 5 | 2023 | 3 | |
| 6 | 2015 | 3 |
About Davide Abati
Davide Abati is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Statistical and Nonlinear Physics and Epidemiology, having authored 6 papers that have together received 327 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Advanced Vision and Imaging (2 papers), Complex Network Analysis Techniques (1 paper), Video Surveillance and Tracking Methods (1 paper), Face and Expression Recognition (1 paper), Robotics and Sensor-Based Localization (1 paper) and Advanced Image Processing Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (294 citations), Computer Networks and Communications (146 citations), Computer Vision and Pattern Recognition (106 citations), Signal Processing (31 citations) and Industrial and Manufacturing Engineering (17 citations). Davide Abati has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Rita Cucchiara, Simone Calderara, Angelo Porrello, Stefano Alletto, Giuseppe Serra, Amirhossein Habibian, Markus Nagel and Luca Rigazio. Their work appears in journals such as Sensors, IEEE Transactions on Intelligent Transportation Systems, arXiv (Cornell University) and IRIS UNIMORE (University of Modena and Reggio Emilia).
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.