Luca Oneto
Impact in
-
- Context-Aware Activity Recognition Systems
- Human Pose and Action Recognition
- Artificial Intelligence top 0.5%
- Anomaly Detection Techniques and Applications
Papers in
-
- 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
-
- Face and Expression Recognition 19
- Co-authors
- Davide Anguita (100 shared papers)Alessandro Ghio (31 shared papers)Xavier Parra (2 shared papers)Andrea Coraddu (43 shared papers)Sandro Ridella (43 shared papers)Albert Samà (1 shared paper)Francesca Cipollini (13 shared papers)Erik Cambria (7 shared papers)
- Journals
- Neurocomputing (23 papers)Ocean Engineering (11 papers)Cognitive Computation (4 papers)IEEE Access (3 papers)Neural Networks (3 papers)
- Partner nations
- ItalyUnited KingdomNetherlands
In The Last Decade
Luca Oneto
178 papers receiving 4.8k citations
Luca Oneto's Hit Papers
Peers
Comparison fields: 5 of 171
- Computer Vision and Pattern Recognition 1.6k
- Artificial Intelligence 1.7k
- Industrial and Manufacturing Engineering 443
- Transportation 242
- Signal Processing 332
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-authors
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
Showing the 20 most-cited of 185 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A public domain dataset for human activity recognition using smartphones Hit paper breakdown → | 2013 | 1174 |
| 2 | Transition-Aware Human Activity Recognition Using Smartphones Hit paper breakdown → | 2015 | 536 |
| 3 | Technical analysis and sentiment embeddings for market trend prediction Hit paper breakdown → | 2019 | 206 |
| 4 | 2019 | 184 | |
| 5 | 2016 | 156 | |
| 6 | 2015 | 121 | |
| 7 | 2014 | 105 | |
| 8 | 2015 | 104 | |
| 9 | 2017 | 98 | |
| 10 | 2010 | 97 | |
| 11 | The 'K' in K-fold Cross Validation | 2012 | 93 |
| 12 | 2016 | 89 | |
| 13 | 2017 | 88 | |
| 14 | 2012 | 86 | |
| 15 | 2019 | 78 | |
| 16 | 2020 | 72 | |
| 17 | 2017 | 67 | |
| 18 | 2018 | 62 | |
| 19 | 2020 | 42 | |
| 20 | 2020 | 37 |
About Luca Oneto
Luca Oneto is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Ocean Engineering and Mechanical Engineering, having authored 185 papers that have together received 5.0k 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), Fault Detection and Control Systems (14 papers), Ethics and Social Impacts of AI (14 papers), Adversarial Robustness in Machine Learning (14 papers) and Anomaly Detection Techniques and Applications (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Artificial Intelligence (1.7k citations), Industrial and Manufacturing Engineering (443 citations), Transportation (242 citations) and Signal Processing (332 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 Neural Networks.
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.