Nicholas Marshall

2.6k total citations
151 papers, 1.9k citations indexed

About

Nicholas Marshall is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Nicholas Marshall has authored 151 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Radiology, Nuclear Medicine and Imaging, 105 papers in Pulmonary and Respiratory Medicine and 69 papers in Biomedical Engineering. Recurrent topics in Nicholas Marshall's work include Digital Radiography and Breast Imaging (104 papers), Medical Imaging Techniques and Applications (76 papers) and Advanced X-ray and CT Imaging (68 papers). Nicholas Marshall is often cited by papers focused on Digital Radiography and Breast Imaging (104 papers), Medical Imaging Techniques and Applications (76 papers) and Advanced X-ray and CT Imaging (68 papers). Nicholas Marshall collaborates with scholars based in Belgium, United Kingdom and United States. Nicholas Marshall's co-authors include Hilde Bosmans, K. Faulkner, Lesley Cockmartin, Francis R. Verdun, François Bochud, C J Kotre, Pascal Monnin, Lara Struelens, Eman Shaheen and M. J. Tapiovaara and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

In The Last Decade

Nicholas Marshall

142 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas Marshall Belgium 24 1.6k 1.2k 1.0k 402 206 151 1.9k
Magnus Båth Sweden 29 2.3k 1.4× 1.8k 1.5× 1.2k 1.2× 233 0.6× 127 0.6× 151 2.7k
Kai Yang United States 26 1.9k 1.2× 1.0k 0.9× 1.3k 1.2× 241 0.6× 498 2.4× 138 2.5k
Michael Sandborg Sweden 25 1.5k 0.9× 1.1k 0.9× 1.0k 1.0× 98 0.2× 384 1.9× 123 1.9k
A. Kyle Jones United States 20 1.9k 1.2× 816 0.7× 997 1.0× 274 0.7× 155 0.8× 71 2.1k
C J Kotre United Kingdom 16 783 0.5× 750 0.6× 485 0.5× 232 0.6× 169 0.8× 70 1.4k
Justin Solomon United States 19 1.7k 1.1× 406 0.3× 1.5k 1.4× 86 0.2× 107 0.5× 68 1.8k
Arnold R. Cowen United Kingdom 21 638 0.4× 596 0.5× 478 0.5× 106 0.3× 163 0.8× 56 957
Anders Tingberg Sweden 26 1.8k 1.1× 1.8k 1.5× 972 0.9× 859 2.1× 83 0.4× 109 2.4k
Federica Zanca Belgium 18 688 0.4× 505 0.4× 383 0.4× 330 0.8× 64 0.3× 66 987
Paul C. Johns Canada 13 677 0.4× 490 0.4× 627 0.6× 144 0.4× 177 0.9× 38 1.0k

Countries citing papers authored by Nicholas Marshall

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Marshall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Marshall

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

All Works

20 of 20 papers shown
1.
Wagner, Tobias, Lesley Cockmartin, Nicholas Marshall, et al.. (2025). Using Explainable AI to Characterize Features in the Mirai Mammographic Breast Cancer Risk Prediction Model. Radiology Artificial Intelligence. 7(6). e240417–e240417.
2.
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Bosmans, Hilde, et al.. (2024). A combined analytical and Monte Carlo method for detailed simulations of antiscatter grids in x-ray medical imaging: implementing scatter within the grid. Physics in Medicine and Biology. 69(7). 75021–75021. 3 indexed citations
4.
Cockmartin, Lesley, et al.. (2024). Applicability of virtual breast phantoms for detectability studies in synthetic mammography. Lirias (KU Leuven). 63–63.
5.
Wagner, Tobias, et al.. (2024). Incorporating longitudinal screening data into image-based breast cancer risk assessment. Lirias (KU Leuven). 66–66. 2 indexed citations
6.
Marshall, Nicholas, Lesley Cockmartin, & Hilde Bosmans. (2023). Investigation of test methods for QC in dual-energy based contrast-enhanced digital mammography systems: II. Artefacts/uniformity, exposure time and phantom-based dosimetry. Physics in Medicine and Biology. 68(21). 215016–215016. 2 indexed citations
7.
Marshall, Nicholas, Danieli Moura Brasil, Gustavo Machado Santaella, et al.. (2023). Development and validation of a 3D anthropomorphic phantom for dental CBCT imaging research. Medical Physics. 50(11). 6714–6736. 1 indexed citations
8.
Monnin, Pascal, J. Damet, Hilde Bosmans, & Nicholas Marshall. (2023). Task-based detectability in anatomical background in digital mammography, digital breast tomosynthesis and synthetic mammography. Physics in Medicine and Biology. 69(2). 25017–25017. 2 indexed citations
9.
Beuque, Manon, Henry C. Woodruff, Nicholas Marshall, et al.. (2022). Synthetic data of simulated microcalcification clusters to train and explain deep learning detection models in contrast-enhanced mammography. Research Publications (Maastricht University). 2–2. 1 indexed citations
10.
11.
Jacobs, J., et al.. (2021). A methodology to estimate the patient diameter and thickness from thoracic and abdominal projection radiographs of adult patients. Physics in Medicine and Biology. 66(14). 145002–145002.
12.
Bosmans, Hilde, et al.. (2020). X-ray image quality and system exposure parameters for a hybrid Angio-MR system. Physics in Medicine and Biology. 65(24). 245025–245025. 2 indexed citations
13.
Marshall, Nicholas, et al.. (2018). A hybrid simulation framework for computer simulation and modelling studies of grating-based x-ray phase-contrast images. Physics in Medicine and Biology. 63(14). 14NT03–14NT03. 9 indexed citations
14.
Bosmans, Hilde, et al.. (2015). Tailoring automatic exposure control toward constant detectability in digital mammography. Medical Physics. 42(7). 3834–3847. 22 indexed citations
15.
Marshall, Nicholas, et al.. (2014). Is switching to Kivexa with rilpivirine as effective as switching to Eviplera in clinical practice?. UCL Discovery (University College London). 2 indexed citations
16.
Monnin, Pascal, Hilde Bosmans, Francis R. Verdun, & Nicholas Marshall. (2014). Comparison of the polynomial model against explicit measurements of noise components for different mammography systems. Physics in Medicine and Biology. 59(19). 5741–5761. 17 indexed citations
17.
Marshall, Nicholas & Hilde Bosmans. (2012). Measurements of system sharpness for two digital breast tomosynthesis systems. Physics in Medicine and Biology. 57(22). 7629–7650. 51 indexed citations
18.
Monnin, Pascal, Nicholas Marshall, Hilde Bosmans, François Bochud, & Francis R. Verdun. (2011). Image quality assessment in digital mammography: part II. NPWE as a validated alternative for contrast detail analysis. Physics in Medicine and Biology. 56(14). 4221–4238. 54 indexed citations
19.
Marshall, Nicholas. (2005). Assistance is continuously on tap.. PubMed. 59(8). 58–9. 1 indexed citations
20.
Marshall, Nicholas. (2001). The practical application of signal detection theory to image quality assessment in x-ray image intensifier-TV fluoroscopy. Physics in Medicine and Biology. 46(6). 1631–1649. 13 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.

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