J Alison Noble

3 papers and 1.2k indexed citations i.

About

J Alison Noble is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, J Alison Noble has authored 3 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in J Alison Noble’s work include Fetal and Pediatric Neurological Disorders (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Prenatal Screening and Diagnostics (1 paper). J Alison Noble is often cited by papers focused on Fetal and Pediatric Neurological Disorders (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Prenatal Screening and Diagnostics (1 paper). J Alison Noble collaborates with scholars based in and . J Alison Noble's co-authors include David J. Hawkes, Daniel Rueckert, Chris Taylor, Gao Yang, Mohammad Yaqub, A Cavallaro, Fenella Roseman, Aris T. Papageorghiou and R. Napolitano and has published in prestigious journals such as Lecture notes in computer science and Springer US.

In The Last Decade

Co-authorship network of co-authors of J Alison Noble i

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.

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).

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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