Jacqueline Matthew

2.0k total citations
52 papers, 947 citations indexed

About

Jacqueline Matthew is a scholar working on Pediatrics, Perinatology and Child Health, Artificial Intelligence and Health Informatics. According to data from OpenAlex, Jacqueline Matthew has authored 52 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Pediatrics, Perinatology and Child Health, 12 papers in Artificial Intelligence and 11 papers in Health Informatics. Recurrent topics in Jacqueline Matthew's work include Fetal and Pediatric Neurological Disorders (29 papers), Prenatal Screening and Diagnostics (14 papers) and Artificial Intelligence in Healthcare and Education (11 papers). Jacqueline Matthew is often cited by papers focused on Fetal and Pediatric Neurological Disorders (29 papers), Prenatal Screening and Diagnostics (14 papers) and Artificial Intelligence in Healthcare and Education (11 papers). Jacqueline Matthew collaborates with scholars based in United Kingdom, Germany and Canada. Jacqueline Matthew's co-authors include Bernhard Kainz, Daniel Rueckert, Sandra Smith, Christian F. Baumgartner, Lisa M. Koch, Konstantinos Kamnitsas, David R. Long, Wayne L. Andrews, James K. Friel and Emily Skelton and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Jacqueline Matthew

46 papers receiving 925 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jacqueline Matthew United Kingdom	15	344	267	203	197	178	52	947
Lior Drukker United Kingdom	20	488 1.4×	168 0.6×	221 1.1×	129 0.7×	32 0.2×	86	1.0k
Ryu Matsuoka Japan	27	1.4k 3.9×	157 0.6×	63 0.3×	67 0.3×	19 0.1×	117	1.9k
Tatsuya Arakaki Japan	12	295 0.9×	111 0.4×	60 0.3×	66 0.3×	14 0.1×	52	575
Christopher P. Bridge United States	14	89 0.3×	205 0.8×	114 0.6×	64 0.3×	7 0.0×	43	593
Andrew D. Brown Canada	14	100 0.3×	210 0.8×	71 0.3×	63 0.3×	12 0.1×	35	588
Mellisa Damodaram United Kingdom	14	458 1.3×	205 0.8×	108 0.5×	12 0.1×	18 0.1×	18	895
Jeevesh Kapur Singapore	12	47 0.1×	169 0.6×	84 0.4×	76 0.4×	20 0.1×	34	477
C. Ioannou United Kingdom	17	701 2.0×	59 0.2×	57 0.3×	13 0.1×	47 0.3×	45	963
Elisenda Bonet-Carné Spain	12	277 0.8×	148 0.6×	99 0.5×	51 0.3×	3 0.0×	28	511
Susan Ostmo United States	22	596 1.7×	1.5k 5.5×	92 0.5×	59 0.3×	4 0.0×	86	1.7k

Countries citing papers authored by Jacqueline Matthew

Since Specialization

Citations

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

Fields of papers citing papers by Jacqueline Matthew

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacqueline Matthew

This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline Matthew. A scholar is included among the top collaborators of Jacqueline Matthew 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 Jacqueline Matthew. Jacqueline Matthew is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Matthew, Jacqueline, Christina Malamateniou, Emily Skelton, et al.. (2025). Setting the research priorities for pregnancy scanning: a nationally coproduced vision with expectant women, the public and healthcare professionals. British Journal of Radiology.

Dinsdale, Nicola K., Vanessa Kyriakopoulou, Robert Wright, et al.. (2025). Cross‐Modality Comparison of Fetal Brain Phenotypes: Insights From Short‐Interval Second‐Trimester MRI and Ultrasound Imaging. Human Brain Mapping. 46(14). e70349–e70349.

Matthew, Jacqueline, Lisa Story, Emily Skelton, et al.. (2025). Diversity of representation in pregnancy research: A national mixed-methods survey of women’s perceptions and experiences in the United Kingdom. Women and Birth. 38(4). 101942–101942. 1 indexed citations

Dinsdale, Nicola K., Vanessa Kyriakopoulou, L. Venturini, et al.. (2024). EP04.02: Fetal brain imaging in 3D: a direct comparison between same day MRI and ultrasound volumetric measures. Ultrasound in Obstetrics and Gynecology. 64(S1). 129–129. 1 indexed citations

Matthew, Jacqueline, Alena Uus, Alexia Egloff, et al.. (2024). Automated craniofacial biometry with 3D T2w fetal MRI. SHILAP Revista de lepidopterología. 3(12). e0000663–e0000663.

Matthew, Jacqueline, Alena Uus, Robert Wright, et al.. (2024). Craniofacial phenotyping with fetal MRI: a feasibility study of 3D visualisation, segmentation, surface-rendered and physical models. BMC Medical Imaging. 24(1). 52–52. 3 indexed citations

Silverio, Sergio A., et al.. (2023). Inside the ‘imperfect mosaic’: Minority ethnic women’s qualitative experiences of race and ethnicity during pregnancy, childbirth, and maternity care in the United Kingdom. BMC Public Health. 23(1). 2555–2555. 14 indexed citations

Silverio, Sergio A., et al.. (2023). Factors which influence ethnic minority women’s participation in maternity research: A systematic review of quantitative and qualitative studies. PLoS ONE. 18(2). e0282088–e0282088. 22 indexed citations

O’Regan, Tracy, Jacqueline Matthew, Emily Skelton, et al.. (2022). UK reporting radiographers’ perceptions of AI in radiographic image interpretation – Current perspectives and future developments. Radiography. 28(4). 881–888. 25 indexed citations

10.

O’Regan, Tracy, Jacqueline Matthew, Emily Skelton, et al.. (2022). An insight into the current perceptions of UK radiographers on the future impact of AI on the profession: A cross-sectional survey. Journal of medical imaging and radiation sciences. 53(3). 347–361. 19 indexed citations

11.

Davidson, Joseph, Alena Uus, Alexia Egloff, et al.. (2022). Motion corrected fetal body magnetic resonance imaging provides reliable 3D lung volumes in normal and abnormal fetuses. Prenatal Diagnosis. 42(5). 628–635. 13 indexed citations

12.

Malamateniou, Christina, Sonyia McFadden, Yasmin McQuinlan, et al.. (2021). Artificial Intelligence: Guidance for clinical imaging and therapeutic radiography professionals, a summary by the Society of Radiographers AI working group. Radiography. 27(4). 1192–1202. 40 indexed citations

13.

Matthew, Jacqueline, Emily Skelton, Lisa Story, et al.. (2021). MRI-Derived Fetal Weight Estimation in the Midpregnancy Fetus: A Method Comparison Study. Fetal Diagnosis and Therapy. 48(10). 708–719. 1 indexed citations

14.

Davidson, Joseph, Jacqueline Matthew, David Lloyd, et al.. (2021). Fetal magnetic resonance imaging (MRI) enhances the diagnosis of congenital body anomalies. Journal of Pediatric Surgery. 57(2). 239–244. 4 indexed citations

15.

Hutter, Jana, Jacqueline Matthew, Tong Zhang, et al.. (2021). Assessment of the fetal thymus gland: Comparing MRI-acquired thymus volumes with 2D ultrasound measurements. European Journal of Obstetrics & Gynecology and Reproductive Biology. 264. 1–7. 2 indexed citations

16.

Davidson, Joseph, Alena Uus, Jacqueline Matthew, et al.. (2021). Fetal body MRI and its application to fetal and neonatal treatment: an illustrative review. The Lancet Child & Adolescent Health. 5(6). 447–458. 30 indexed citations

17.

Skelton, Emily, Jacqueline Matthew, Yuanwei Li, et al.. (2020). Towards automated extraction of 2D standard fetal head planes from 3D ultrasound acquisitions: A clinical evaluation and quality assessment comparison. Radiography. 27(2). 519–526. 7 indexed citations

18.

Story, Lisa, Tong Zhang, Johannes K. Steinweg, et al.. (2019). Foetal lung volumes in pregnant women who deliver very preterm: a pilot study. Pediatric Research. 87(6). 1066–1071. 16 indexed citations

19.

Baumgartner, Christian F., Konstantinos Kamnitsas, Jacqueline Matthew, et al.. (2016). Real-Time Detection and Localisation of Fetal Standard Scan Planes in 2D Freehand Ultrasound.. arXiv (Cornell University). 3 indexed citations

20.

Friel, James K., Wayne L. Andrews, Michael Hall, et al.. (1995). Intravenous Iron Administration to Very‐Low‐Birth‐Weight Newborns Receiving Total and Partial Parenteral Nutrition. Journal of Parenteral and Enteral Nutrition. 19(2). 114–118. 38 indexed citations

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.

Explore authors with similar magnitude of impact