Eric Arazo
Impact in
- Artificial Intelligence top 2%
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Data Classification
- Machine Learning and Algorithms
- Topic Modeling
- Privacy-Preserving Technologies in Data
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
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- Domain Adaptation and Few-Shot Learning 6
- Machine Learning and Data Classification 6
- Machine Learning and Algorithms 3
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- Medical Image Segmentation Techniques 5
- Advanced Neural Network Applications 3
- Multimodal Machine Learning Applications 1
- Image Retrieval and Classification Techniques 1
- Co-authors
- Noel Edward O'Connor (15 shared papers)Kevin McGuinness (14 shared papers)Diego Ortego (7 shared papers)Suzanne Little (2 shared papers)Kathleen M. Curran (2 shared papers)Robin Aly (1 shared paper)Yvette Graham (1 shared paper)Mingming Liu (1 shared paper)
- Journals
- Medical Image Analysis (1 paper)Lecture notes in computer science (3 papers)Expert Systems (1 paper)Communications in computer and information science (1 paper)IEEE International Symposium on Biomedical Imaging (ISBI) (1 paper)
In The Last Decade
Eric Arazo
20 papers receiving 809 citations
Eric Arazo's Hit Papers
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 512
- Computer Vision and Pattern Recognition 267
- Media Technology 35
- Signal Processing 17
- Health Informatics 3
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 12 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 | 571 |
| 2 | 2021 | 100 | |
| 3 | 2020 | 43 | |
| 4 | 2024 | 26 | |
| 5 | 2021 | 16 | |
| 6 | 2022 | 16 | |
| 7 | 2023 | 11 | |
| 8 | 2024 | 10 | |
| 9 | 2021 | 6 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2023 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2018 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 1 |
About Eric Arazo
Eric Arazo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Oncology, Transportation and Health, Toxicology and Mutagenesis, having authored 20 papers that have together received 821 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (6 papers), Machine Learning and Data Classification (6 papers), Medical Image Segmentation Techniques (5 papers), Advanced Neural Network Applications (3 papers), Machine Learning and Algorithms (3 papers), Colorectal Cancer Screening and Detection (2 papers), Multimodal Machine Learning Applications (1 paper) and Image Retrieval and Classification Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (512 citations), Computer Vision and Pattern Recognition (267 citations), Media Technology (35 citations), Signal Processing (17 citations) and Health Informatics (3 citations). Eric Arazo has collaborated with scholars based in Ireland, Germany and China. Frequent co-authors include Noel Edward O'Connor, Kevin McGuinness, Diego Ortego, Suzanne Little, Kathleen M. Curran, Robin Aly, Yvette Graham, Mingming Liu, Alan F. Smeaton and Andrés L. Suárez‐Cetrulo. Their work appears in journals such as Medical Image Analysis, Lecture notes in computer science, Expert Systems, Communications in computer and information science and IEEE International Symposium on Biomedical Imaging (ISBI).
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.