Gillian Macnaught

756 citations
30 papers · 482 · h-index 13

Impact in

Papers in

Gillian Macnaught

30 papers receiving 476 citations

Peers

Gillian Macnaught
Comparison fields: 5 of 86
  • Radiology, Nuclear Medicine and Imaging 166
  • Computer Vision and Pattern Recognition 126
  • Pediatrics, Perinatology and Child Health 73
  • Obstetrics and Gynecology 27
  • Media Technology 25
Replace Amir Alansary with:
Amir Alansary United Kingdom
Hiroyuki Sugimori Japan
Lisa Margret Koch Germany
Dionisis Cavouras Greece
San-Kan Lee Taiwan
Hui Zhu United States
Nooshin Ghavami United Kingdom
Ruobing Huang China
Mostafa Ghelich Oghli Iran
Alessandro Crimi Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Gillian Macnaught

Since Specialization
Citations

This map shows the geographic impact of Gillian Macnaught'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 Gillian Macnaught with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gillian Macnaught more than expected).

Fields of papers citing papers by Gillian Macnaught

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gillian Macnaught. 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 Gillian Macnaught. The network helps show where Gillian Macnaught may publish in the future.

Co-authors

The 25 scholars most cited alongside Gillian Macnaught, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gillian Macnaught Line = papers co-authored together Gillian Macnaught links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202094
2 201957
3 201637
4 201635
5 201923
6 202320
7 201819
8 201918
9 201918
10 202018
11 201717
12 202117
13 201715
14 201213
15 202410
16 201510
17 20179
18
Journal of Cardiovascular Magnetic Resonance
20158
19 20176
20 20126

About Gillian Macnaught

Gillian Macnaught is a scholar working on Radiology, Nuclear Medicine and Imaging, Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Computer Vision and Pattern Recognition and Physiology, having authored 30 papers that have together received 482 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (5 papers), Medical Imaging Techniques and Applications (5 papers), Cardiac Imaging and Diagnostics (5 papers), Advanced Image Processing Techniques (4 papers), Medical Image Segmentation Techniques (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Fetal and Pediatric Neurological Disorders (3 papers) and Lanthanide and Transition Metal Complexes (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (166 citations), Computer Vision and Pattern Recognition (126 citations), Pediatrics, Perinatology and Child Health (73 citations), Obstetrics and Gynecology (27 citations) and Media Technology (25 citations). Gillian Macnaught has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include David Ernest Newby, Tom MacGillivray, Chengjia Wang, Guang Zhong Yang, Giorgos Papanastasiou, Calum D. Gray, Sotirios A. Tsaftaris, Ahmed Serag, James P. Boardman and Scott I. K. Semple. Their work appears in journals such as Journal of Nuclear Cardiology, BioMed Research International, European Heart Journal - Cardiovascular Imaging, Scientific Reports and Frontiers in Neuroscience.

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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