Diego Ortego
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- Video Surveillance and Tracking Methods 8
- Image Enhancement Techniques 4
- Advanced Neural Network Applications 4
- Advanced Vision and Imaging 3
- Visual Attention and Saliency Detection 2
- Advanced Image and Video Retrieval Techniques 2
- Artificial Intelligence top 5%
- Machine Learning and Data Classification 3
- Domain Adaptation and Few-Shot Learning 2
- Media Technology top 10%
Diego Ortego
14 papers receiving 614 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 333
- Artificial Intelligence 400
- Media Technology 35
- Signal Processing 27
- Radiology, Nuclear Medicine and Imaging 54
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-authorship network
The 7 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 | 2023 | 2 | |
| 2 | 2022 | 12 | |
| 3 | 2021 | 5 | |
| 4 | Pseudo-labeling and confirmation bias in deep semi-supervised learningbreakdown → | 2020 | 418 |
| 5 | Toward the Automatic Retrieval and Annotation of Outsider Art images: A Preliminary Statement | 2020 | 1 |
| 6 | 2019 | 104 | |
| 7 | 2018 | 27 | |
| 8 | 2018 | 14 | |
| 9 | 2017 | 6 | |
| 10 | 2016 | 2 | |
| 11 | 2016 | 22 | |
| 12 | 2015 | 7 | |
| 13 | 2014 | 8 | |
| 14 | 2013 | 7 |
About Diego Ortego
Diego Ortego is a scholar working on Computer Vision and Pattern Recognition, Conservation, Artificial Intelligence, Visual Arts and Performing Arts and Media Technology, having authored 14 papers that have together received 635 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), Visual Attention and Saliency Detection (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (333 citations), Artificial Intelligence (400 citations), Media Technology (35 citations), Signal Processing (27 citations) and Radiology, Nuclear Medicine and Imaging (54 citations). Diego Ortego has collaborated with scholars based in Spain, Ireland and Singapore. Frequent co-authors include Noel E. O’Connor, Paul Albert, Eric Arazo, Kevin McGuinness, Juan C. SanMiguel, José M. Martínez and Brian Davis. Their work appears in journals such as Computer Vision and Image Understanding, Sensors, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Signal Processing Letters and arXiv (Cornell University).
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.