Diego Ortego
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Data Classification
- Anomaly Detection Techniques and Applications
- Topic Modeling
Papers in
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- Video Surveillance and Tracking Methods 8
- Image Enhancement Techniques 4
- Advanced Neural Network Applications 4
- Advanced Vision and Imaging 3
- Advanced Image and Video Retrieval Techniques 2
- Visual Attention and Saliency Detection 2
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- Machine Learning and Data Classification 3
- Anomaly Detection Techniques and Applications 2
- Co-authors
- Kevin McGuinness (4 shared papers)Paul Albert (4 shared papers)Noel E. O’Connor (4 shared papers)Eric Arazo (4 shared papers)Juan C. SanMiguel (8 shared papers)José M. Martínez (6 shared papers)Brian Davis (1 shared paper)Kunal Dahiya (1 shared paper)
- Journals
- Computer Vision and Image Understanding (2 papers)IEEE Signal Processing Letters (1 paper)Sensors (1 paper)IEEE Transactions on Circuits and Systems for Video Technology (1 paper)2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)
In The Last Decade
Diego Ortego
14 papers receiving 638 citations
Diego Ortego's Hit Papers
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 343
- Artificial Intelligence 406
- Media Technology 40
- Radiology, Nuclear Medicine and Imaging 54
- Signal Processing 26
Countries citing papers authored by Diego Ortego
This map shows the geographic impact of Diego Ortego'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 Diego Ortego with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Ortego more than expected).
Fields of papers citing papers by Diego Ortego
This network shows the impact of papers produced by Diego Ortego. 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 Diego Ortego. The network helps show where Diego Ortego may publish in the future.
Co-authors
The 8 scholars most cited alongside Diego Ortego, 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 | Pseudo-labeling and confirmation bias in deep semi-supervised learning Hit paper breakdown → | 2020 | 436 |
| 2 | 2019 | 106 | |
| 3 | 2018 | 29 | |
| 4 | 2016 | 22 | |
| 5 | 2018 | 14 | |
| 6 | 2022 | 13 | |
| 7 | 2014 | 8 | |
| 8 | 2015 | 8 | |
| 9 | 2013 | 7 | |
| 10 | 2017 | 6 | |
| 11 | 2021 | 5 | |
| 12 | 2023 | 2 | |
| 13 | 2016 | 2 | |
| 14 | Toward the Automatic Retrieval and Annotation of Outsider Art images: A Preliminary Statement | 2020 | 1 |
| 15 | 2025 | 0 |
About Diego Ortego
Diego Ortego is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Conservation, Cognitive Neuroscience and Signal Processing, having authored 15 papers that have together received 659 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), Image Enhancement Techniques (4 papers), Advanced Neural Network Applications (4 papers), Advanced Vision and Imaging (3 papers), Machine Learning and Data Classification (3 papers), Anomaly Detection Techniques and Applications (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Visual Attention and Saliency Detection (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (343 citations), Artificial Intelligence (406 citations), Media Technology (40 citations), Radiology, Nuclear Medicine and Imaging (54 citations) and Signal Processing (26 citations). Diego Ortego has collaborated with scholars based in Spain, Ireland and Singapore. Frequent co-authors include Kevin McGuinness, Paul Albert, Noel E. O’Connor, Eric Arazo, Juan C. SanMiguel, José M. Martínez, Brian Davis and Kunal Dahiya. Their work appears in journals such as Computer Vision and Image Understanding, IEEE Signal Processing Letters, Sensors, IEEE Transactions on Circuits and Systems for Video Technology and 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
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.