J. Alison Noble

22.4k total citations · 4 hit papers
434 papers, 12.8k citations indexed

About

J. Alison Noble is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, J. Alison Noble has authored 434 papers receiving a total of 12.8k indexed citations (citations by other indexed papers that have themselves been cited), including 144 papers in Computer Vision and Pattern Recognition, 137 papers in Radiology, Nuclear Medicine and Imaging and 120 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in J. Alison Noble's work include Fetal and Pediatric Neurological Disorders (84 papers), Medical Image Segmentation Techniques (81 papers) and Domain Adaptation and Few-Shot Learning (64 papers). J. Alison Noble is often cited by papers focused on Fetal and Pediatric Neurological Disorders (84 papers), Medical Image Segmentation Techniques (81 papers) and Domain Adaptation and Few-Shot Learning (64 papers). J. Alison Noble collaborates with scholars based in United Kingdom, United States and Israel. J. Alison Noble's 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 and has published in prestigious journals such as The Lancet, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

J. Alison Noble

411 papers receiving 12.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

International standards for newborn weight, length, and head circumference by gestational age and sex: the Newborn Cross-Sectional Study of the INTERGROWTH-21st Project

2014 1.4k citations Aris T. Papageorghiou, J. Alison Noble et al. profile →
Ultrasound image segmentation: a survey

2006 812 citations J. Alison Noble et al. profile →
International standards for fetal growth based on serial ultrasound measurements: the Fetal Growth Longitudinal Study of the INTERGROWTH-21st Project

2014 539 citations Aris T. Papageorghiou, J. Alison Noble et al. profile →
The biology of platelet-rich plasma and its application in trauma and orthopaedic surgery

2009 467 citations J. Alison Noble et al. profile →

Peers

Countries citing papers authored by J. Alison Noble

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of J. Alison Noble

This figure shows the co-authorship network connecting the top 25 collaborators of J. Alison Noble. A scholar is included among the top collaborators of J. Alison Noble based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Alison Noble. J. Alison Noble is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A comprehensive scoping review on machine learning-based fetal echocardiography analysis 2025 ·Computers in Biology and Medicine ·(unknown), Olga Patey, (unknown), Aris T. Papageorghiou, J. Alison Noble	0
2	IterMask3D: Unsupervised anomaly detection and segmentation with test-time iterative mask refinement in 3D brain MRI 2025 ·Medical Image Analysis ·(unknown), Xiaoqing Guo, Wentian Xu, (unknown), Natalie Voets, Pieter Pretorius, J. Alison Noble, Konstantinos Kamnitsas	0
3	Statistical Characterisation of Fetal Anatomy in Simple Obstetric Ultrasound Video Sweeps 2024 ·Ultrasound in Medicine & Biology ·(unknown), (unknown), Alice Self, Ramachandran Thiruvengadam, Bapu Koundinya Desiraju, Shinjini Bhatnagar, Aris T. Papageorghiou, J. Alison Noble	0
4	Zoom is Meaningful: Discerning Ultrasound Images’ Zoom Levels 2024 ·PubMed ·(unknown), Robail Yasrab, Md. Mostafa Kamal Sarker, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble	0
5	Dual Representation Learning From Fetal Ultrasound Video and Sonographer Audio 2024 ·PubMed ·Mourad Gridach, (unknown), Jianbo Jiao, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble	0
6	Variability between human experts and artificial intelligence in identification of anatomical structures by ultrasound in regional anaesthesia: a framework for evaluation of assistive artificial intelligence 2023 ·British Journal of Anaesthesia ·James Bowness, R. Morse, (unknown), James F. Lloyd, David Burckett-St Laurent, (unknown), Alan Macfarlane, Amit Pawa, Alasdair Taylor, J. Alison Noble, Helen Higham	10
7	Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration 2023 ·Medical Image Analysis ·Yiwen Li, Yunguan Fu, (unknown), Qianye Yang, Zhe Min, (unknown), Yan Wen, Yipei Wang, J. Alison Noble, Mark Emberton, Matthew J. Clarkson, Henkjan Huisman, Dean C. Barratt, Victor Adrian Prisacariu, Yipeng Hu	14
8	Acceptability and Feasibility of a Low-Cost Device for Gestational Age Assessment in a Low-Resource Setting: Qualitative Study 2022 ·JMIR Human Factors ·Angela Koech, (unknown), (unknown), Mai‐Lei Woo Kinshella, Marianne Vidler, Marleen Temmerman, Rachel Craik, Peter von Dadelszen, J. Alison Noble, Aris T. Papageorghiou, (unknown)	4
9	Image quality assessment for machine learning tasks using meta-reinforcement learning 2022 ·Medical Image Analysis ·(unknown), Yunguan Fu, Vasilis Stavrinides, Zachary M. C. Baum, Qianye Yang, Mirabela Rusu, Richard E. Fan, Geoffrey A. Sonn, J. Alison Noble, Dean C. Barratt, Yipeng Hu	28
10	Exploring the utility of assistive artificial intelligence for ultrasound scanning in regional anesthesia 2022 ·Regional Anesthesia & Pain Medicine ·James Bowness, Kariem El‐Boghdadly, Glenn E. Woodworth, J. Alison Noble, Helen Higham, David Burckett-St Laurent	36
11	Automatic Image Guidance for Assessment of Placenta Location in Ultrasound Video Sweeps 2022 ·Ultrasound in Medicine & Biology ·(unknown), Qing-Chao Chen, (unknown), (unknown), (unknown), Alice Self, Shinjini Bhatnagar, Aris T. Papageorghiou, J. Alison Noble	5
12	Multi-Modal Learning from Video, Eye Tracking, and Pupillometry for Operator Skill Characterization in Clinical Fetal Ultrasound 2021 ·PubMed ·Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble	12
13	Automated 3D ultrasound image analysis for first trimester assessment of fetal health 2019 ·Physics in Medicine and Biology ·(unknown), Mohammad Yaqub, A Cavallaro, Aris T. Papageorghiou, J. Alison Noble	30
14	Fully-automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi-task learning 2018 ·Medical Image Analysis ·Ana I. L. Namburete, Weidi Xie, Mohammad Yaqub, Andrew Zisserman, J. Alison Noble	57
15	Automated annotation and quantitative description of ultrasound videos of the fetal heart 2016 ·Medical Image Analysis ·Christopher P. Bridge, C. Ioannou, J. Alison Noble	45
16	Ultrasound Image Segmentation of the Fetal Abdomen: a Semi-Supervised Patch-Based Approach 2012 ·IRIS ·(unknown), Sylvia Rueda, Xavier Bresson, Sergiu Nedevschi, Aris T. Papageorghiou, J. Alison Noble, Meritxell Bach Cuadra	8
17	Quality control of fetal ultrasound images: Detection of abdomen anatomical landmarks using AdaBoost 2011 ·Bahbibi Rahmatullah, Ippokratis Sarris, Aris T. Papageorghiou, J. Alison Noble	28
18	Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II 2009 ·Guang‐Zhong Yang, David J. Hawkes, Daniel Rueckert, J. Alison Noble, Chris Taylor	13
19	Artificial Life XI: Proceedings of the Eleventh International Conference on the Simulation and Synthesis of Living Systems 2008 ·ePrints Soton (University of Southampton) ·(unknown), J. Alison Noble, R. G. P. Watson, Mark A. Bedau	74
20	2004 2ND IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: MACRO TO NANO, VOLS 1 and 2 2004 ·(unknown), Robert J. Eckersley, J. Alison Noble	4

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.

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