Diego Ortego
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Medical Image Segmentation Techniques
- Artificial Intelligence top 2%
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Data Classification
- Machine Learning and Algorithms
Papers in
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- Video Surveillance and Tracking Methods 9
- Advanced Neural Network Applications 4
- Image Retrieval and Classification Techniques 1
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- Domain Adaptation and Few-Shot Learning 6
- Machine Learning and Data Classification 4
- Machine Learning and Algorithms 3
- Topic Modeling 2
- Co-authors
- Noel Edward O'Connor (10 shared papers)Kevin McGuinness (10 shared papers)Eric Arazo (7 shared papers)Juan C. SanMiguel (8 shared papers)José María Martínez (6 shared papers)Eduardo Fonseca (2 shared papers)Xavier Serra (2 shared papers)Brian Davis (1 shared paper)
In The Last Decade
Diego Ortego
21 papers receiving 948 citations
Diego Ortego's Hit Papers
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 392
- Artificial Intelligence 503
- Signal Processing 47
- Media Technology 39
- Health Informatics 3
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 9 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
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Pseudo-labeling and confirmation bias in deep semi-supervised learning Hit paper breakdown → | 2020 | 571 |
| 2 | 2021 | 100 | |
| 3 | 2019 | 64 | |
| 4 | 2020 | 43 | |
| 5 | 2018 | 35 | |
| 6 | 2021 | 31 | |
| 7 | 2016 | 24 | |
| 8 | 2021 | 16 | |
| 9 | 2022 | 16 | |
| 10 | 2018 | 15 | |
| 11 | 2015 | 9 | |
| 12 | 2014 | 8 | |
| 13 | 2013 | 7 | |
| 14 | 2017 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2021 | 6 | |
| 17 | 2016 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2023 | 2 | |
| 20 | Toward the Automatic Retrieval and Annotation of Outsider Art images: A Preliminary Statement | 2020 | 1 |
About Diego Ortego
Diego Ortego is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 22 papers that have together received 966 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (9 papers), Domain Adaptation and Few-Shot Learning (6 papers), Machine Learning and Data Classification (4 papers), Advanced Neural Network Applications (4 papers), Machine Learning and Algorithms (3 papers), Music and Audio Processing (2 papers), Topic Modeling (2 papers) and Image Retrieval and Classification Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (392 citations), Artificial Intelligence (503 citations), Signal Processing (47 citations), Media Technology (39 citations) and Health Informatics (3 citations). Diego Ortego has collaborated with scholars based in Ireland, Spain and China. Frequent co-authors include Noel Edward O'Connor, Kevin McGuinness, Eric Arazo, Juan C. SanMiguel, José María Martínez, Eduardo Fonseca, Xavier Serra, Brian Davis and Kunal Dahiya. Their work appears in journals such as Computer Vision and Image Understanding, IEEE Transactions on Circuits and Systems for Video Technology, Sensors, IEEE Signal Processing Letters and Lecture notes in computer science.
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.