Luca Oneto
Impact in
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- Context-Aware Activity Recognition Systems
- Human Pose and Action Recognition
- Artificial Intelligence top 0.5%
- Anomaly Detection Techniques and Applications
Papers in
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- Machine Learning and Algorithms 23
- Machine Learning and Data Classification 22
- Neural Networks and Applications 15
- Adversarial Robustness in Machine Learning 14
- Anomaly Detection Techniques and Applications 11
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- Face and Expression Recognition 19
- Co-authors
- Davide AnguitaAlessandro GhioXavier ParraAndrea CoradduSandro RidellaAlbert SamàFrancesca CipolliniErik Cambria
- Journals
- Neurocomputing (23 papers)Ocean Engineering (11 papers)Cognitive Computation (4 papers)IEEE Access (3 papers)IEEE Transactions on Neural Networks and Learning Systems (3 papers)
- Partner nations
- ItalyUnited KingdomNetherlands
In The Last Decade
Luca Oneto
175 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Computer Vision and Pattern Recognition 1.5k
- Artificial Intelligence 1.6k
- Industrial and Manufacturing Engineering 441
- Transportation 240
- Signal Processing 327
Countries citing papers authored by Luca Oneto
This map shows the geographic impact of Luca Oneto'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 Luca Oneto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Oneto more than expected).
Fields of papers citing papers by Luca Oneto
This network shows the impact of papers produced by Luca Oneto. 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 Luca Oneto. The network helps show where Luca Oneto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Luca Oneto, 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 | 2025 | 1 | |
| 2 | 2025 | 4 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 29 | |
| 8 | 2022 | 3 | |
| 9 | 2021 | 12 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 16 | |
| 12 | 2020 | 8 | |
| 13 | 2019 | 4 | |
| 14 | 2019 | 28 | |
| 15 | 2019 | 30 | |
| 16 | 2019 | 3 | |
| 17 | Technical analysis and sentiment embeddings for market trend prediction Hit paper breakdown → | 2019 | 202 |
| 18 | 2017 | 98 | |
| 19 | 2017 | 9 | |
| 20 | 2016 | 9 |
About Luca Oneto
Luca Oneto is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mathematics, Safety Research and Ocean Engineering, having authored 185 papers that have together received 4.9k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (23 papers), Machine Learning and Data Classification (22 papers), Face and Expression Recognition (19 papers), Neural Networks and Applications (15 papers), Ethics and Social Impacts of AI (14 papers), Adversarial Robustness in Machine Learning (14 papers), Fault Detection and Control Systems (14 papers) and Anomaly Detection Techniques and Applications (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Artificial Intelligence (1.6k citations), Industrial and Manufacturing Engineering (441 citations), Transportation (240 citations) and Signal Processing (327 citations). Luca Oneto has collaborated with scholars based in Italy, United Kingdom and Netherlands. Frequent co-authors include Davide Anguita, Alessandro Ghio, Xavier Parra, Andrea Coraddu, Sandro Ridella, Albert Samà, Francesca Cipollini, Erik Cambria, Francesco Baldi and S. Savio. Their work appears in journals such as Neurocomputing, Ocean Engineering, Cognitive Computation, IEEE Access and IEEE Transactions on Neural Networks and Learning Systems.
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.