J. Alison Noble
- Health Informatics top 0.2%
- Obstetrics and Gynecology top 0.2%
- Pregnancy and preeclampsia studies 30
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- Fetal and Pediatric Neurological Disorders 84
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- Medical Image Segmentation Techniques 81
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- Ultrasound Imaging and Elastography 62
- Advanced MRI Techniques and Applications 30
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- Domain Adaptation and Few-Shot Learning 64
- AI in cancer detection 30
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- Photoacoustic and Ultrasonic Imaging 31
J. Alison Noble
411 papers receiving 12.4k citations
Hit Papers
Peers
Comparison fields: 5 of 202
- Health Informatics 357
- Obstetrics and Gynecology 1.9k
- Pediatrics, Perinatology and Child Health 3.6k
- Computer Vision and Pattern Recognition 3.4k
- Radiology, Nuclear Medicine and Imaging 3.3k
Countries citing papers authored by J. Alison Noble
This map shows the geographic impact of J. Alison Noble'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 J. Alison Noble with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Alison Noble more than expected).
Fields of papers citing papers by J. Alison Noble
This network shows the impact of papers produced by J. Alison Noble. 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 J. Alison Noble. The network helps show where J. Alison Noble may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J. Alison Noble, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 10 | |
| 7 | 2023 | 14 | |
| 8 | 2022 | 4 | |
| 9 | 2022 | 28 | |
| 10 | 2022 | 36 | |
| 11 | 2022 | 5 | |
| 12 | 2021 | 12 | |
| 13 | 2019 | 30 | |
| 14 | 2018 | 57 | |
| 15 | 2016 | 45 | |
| 16 | Ultrasound Image Segmentation of the Fetal Abdomen: a Semi-Supervised Patch-Based Approach | 2012 | 8 |
| 17 | 2011 | 28 | |
| 18 | Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II | 2009 | 13 |
| 19 | Artificial Life XI: Proceedings of the Eleventh International Conference on the Simulation and Synthesis of Living Systems | 2008 | 74 |
| 20 | 2004 2ND IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: MACRO TO NANO, VOLS 1 and 2 | 2004 | 4 |
About J. Alison Noble
J. Alison Noble is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Pediatrics, Perinatology and Child Health, having authored 434 papers that have together received 12.8k indexed citations. Recurring topics across this work include Fetal and Pediatric Neurological Disorders (84 papers), Medical Image Segmentation Techniques (81 papers), Domain Adaptation and Few-Shot Learning (64 papers), Ultrasound Imaging and Elastography (62 papers), Photoacoustic and Ultrasonic Imaging (31 papers), Pregnancy and preeclampsia studies (30 papers), Advanced MRI Techniques and Applications (30 papers) and AI in cancer detection (30 papers). The work is most often cited by research in Health Informatics (357 citations), Obstetrics and Gynecology (1.9k citations) and Pediatrics, Perinatology and Child Health (3.6k citations). J. Alison Noble has collaborated with scholars based in United Kingdom, United States and Israel. Frequent co-authors include Djamal Boukerroui, Aris T. Papageorghiou, Stephen Kennedy, Manorama Purwar, Zulfiqar A Bhutta, Ann Lambert, Leila Cheikh Ismail, José Villar, Enrico Bertino and Fernando C. Barros.
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.