Eric Arazo
Impact in
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- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Data Classification
- Anomaly Detection Techniques and Applications
- Topic Modeling
- AI in cancer detection
Papers in
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- Advanced Neural Network Applications 6
- Medical Image Segmentation Techniques 3
- Advanced Image and Video Retrieval Techniques 2
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- Machine Learning and Data Classification 5
- Domain Adaptation and Few-Shot Learning 5
- Anomaly Detection Techniques and Applications 2
- Imbalanced Data Classification Techniques 1
- Co-authors
- Noel E. O’Connor (9 shared papers)Kevin McGuinness (9 shared papers)Paul Albert (6 shared papers)Diego Ortego (4 shared papers)Suzanne Little (2 shared papers)Noel E. O’Connor (1 shared paper)Kathleen M. Curran (2 shared papers)Andrés L. Suárez‐Cetrulo (1 shared paper)
- Journals
- Lecture notes in computer science (2 papers)Expert Systems (1 paper)Communications in computer and information science (1 paper)2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)
In The Last Decade
Eric Arazo
11 papers receiving 632 citations
Eric Arazo's Hit Papers
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 315
- Artificial Intelligence 431
- Media Technology 36
- Radiology, Nuclear Medicine and Imaging 69
- Neurology 20
Countries citing papers authored by Eric Arazo
This map shows the geographic impact of Eric Arazo'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 Eric Arazo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Arazo more than expected).
Fields of papers citing papers by Eric Arazo
This network shows the impact of papers produced by Eric Arazo. 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 Eric Arazo. The network helps show where Eric Arazo may publish in the future.
Co-authors
The 8 scholars most cited alongside Eric Arazo, 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 | 495 |
| 2 | 2019 | 106 | |
| 3 | 2024 | 15 | |
| 4 | 2022 | 14 | |
| 5 | 2023 | 8 | |
| 6 | 2024 | 5 | |
| 7 | 2021 | 5 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 3 | |
| 10 | 2022 | 2 | |
| 11 | 2019 | 1 | |
| 12 | 2024 | 0 | |
| 13 | 2023 | 0 |
About Eric Arazo
Eric Arazo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Oncology and Signal Processing, having authored 13 papers that have together received 657 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Machine Learning and Data Classification (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Medical Image Segmentation Techniques (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Anomaly Detection Techniques and Applications (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Imbalanced Data Classification Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (315 citations), Artificial Intelligence (431 citations), Media Technology (36 citations), Radiology, Nuclear Medicine and Imaging (69 citations) and Neurology (20 citations). Eric Arazo has collaborated with scholars based in Ireland and Spain. Frequent co-authors include Noel E. O’Connor, Kevin McGuinness, Paul Albert, Diego Ortego, Suzanne Little, Noel E. O’Connor, Kathleen M. Curran and Andrés L. Suárez‐Cetrulo. Their work appears in journals such as Lecture notes in computer science, Expert Systems, Communications in computer and information science, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 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.