Nicholas Dowson

955 total citations
45 papers, 677 citations indexed

About

Nicholas Dowson is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Nicholas Dowson has authored 45 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Computer Vision and Pattern Recognition and 8 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Nicholas Dowson's work include Medical Imaging Techniques and Applications (16 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Medical Image Segmentation Techniques (9 papers). Nicholas Dowson is often cited by papers focused on Medical Imaging Techniques and Applications (16 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Medical Image Segmentation Techniques (9 papers). Nicholas Dowson collaborates with scholars based in Australia, United Kingdom and Italy. Nicholas Dowson's co-authors include Richard Bowden, Stephen Rose, Olivier Salvado, Paul Thomas, Yaniv Gal, Christopher J. Bell, Simon Puttick, Alex M. Pagnozzi, Jürgen Fripp and Roslyn N. Boyd and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Nicholas Dowson

44 papers receiving 671 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 Dowson Australia 16 306 192 130 108 86 45 677
Gianluca Brugnara Germany 11 424 1.4× 92 0.5× 209 1.6× 134 1.2× 31 0.4× 32 778
T. Cox United Kingdom 13 123 0.4× 172 0.9× 149 1.1× 91 0.8× 93 1.1× 19 676
Fabian Isensee Germany 15 578 1.9× 222 1.2× 149 1.1× 87 0.8× 29 0.3× 37 955
Rachel Sparks United Kingdom 19 428 1.4× 216 1.1× 47 0.4× 142 1.3× 374 4.3× 75 1.3k
Barbara Bobek‐Billewicz Poland 15 289 0.9× 117 0.6× 205 1.6× 108 1.0× 18 0.2× 66 790
Gyula Kotek Netherlands 16 314 1.0× 107 0.6× 52 0.4× 69 0.6× 38 0.4× 45 851
Kristof Baete Belgium 18 664 2.2× 80 0.4× 43 0.3× 68 0.6× 141 1.6× 48 1.0k
Ulf Neuberger Germany 10 492 1.6× 79 0.4× 285 2.2× 142 1.3× 31 0.4× 15 761
Boklye Kim United States 10 490 1.6× 360 1.9× 56 0.4× 53 0.5× 16 0.2× 26 874
Prashin Unadkat United States 14 391 1.3× 60 0.3× 126 1.0× 39 0.4× 23 0.3× 31 668

Countries citing papers authored by Nicholas Dowson

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Dowson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Dowson

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Dowson. A scholar is included among the top collaborators of Nicholas Dowson 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 Dowson. Nicholas Dowson 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.
Chetan, M, et al.. (2022). Developing an understanding of artificial intelligence lung nodule risk prediction using insights from the Brock model. European Radiology. 32(8). 5330–5338. 8 indexed citations
2.
Ladwa, Rahul, David A. Pattison, Matthew Burge, et al.. (2018). Positron Emission Tomography (PET) predictors of tumor response to Peptide Receptor Radionuclide Therapy (PRRT) in metastatic Neuroendocrine Tumors (NET). Neuroendocrinology. 106. 249–249. 1 indexed citations
3.
Ladwa, Rahul, David A. Pattison, Steven N. Goodman, et al.. (2018). Tumor absorbed dosimetry and response of radionuclide therapy in metastatic neuroendocrine tumor. Neuroendocrinology. 106. 251–251. 1 indexed citations
4.
Arteta, Carlos, Nicholas Dowson, Petr Novotný, et al.. (2018). MA20.11 Automatic Nodule Size Measurements Can Improve Prediction Accuracy Within a Brock Risk Model. Journal of Thoracic Oncology. 13(10). S429–S429. 1 indexed citations
5.
Bell, Christopher J., et al.. (2017). Design and utilisation of protocols to characterise dynamic PET uptake of two tracers using basis pursuit. Physics in Medicine and Biology. 62(12). 4897–4916. 14 indexed citations
6.
Pagnozzi, Alex M., Nicholas Dowson, James D. Doecke, et al.. (2016). Automated, quantitative measures of grey and white matter lesion burden correlates with motor and cognitive function in children with unilateral cerebral palsy. NeuroImage Clinical. 11. 751–759. 21 indexed citations
7.
Pagnozzi, Alex M., Simona Fiori, Roslyn N. Boyd, et al.. (2015). Optimization of MRI-based scoring scales of brain injury severity in children with unilateral cerebral palsy. Pediatric Radiology. 46(2). 270–279. 7 indexed citations
8.
Bell, Christopher J., Nicholas Dowson, Simon Puttick, et al.. (2015). Increasing feasibility and utility of 18 F-FDOPA PET for the management of glioma. Nuclear Medicine and Biology. 42(10). 788–795. 40 indexed citations
9.
Bell, Christopher J., Nicholas Dowson, Mike Fay, et al.. (2015). Hypoxia Imaging in Gliomas With 18F-Fluoromisonidazole PET: Toward Clinical Translation. Seminars in Nuclear Medicine. 45(2). 136–150. 54 indexed citations
10.
Rivest‐Hénault, David, Nicholas Dowson, Peter B. Greer, Jürgen Fripp, & Jason Dowling. (2015). Robust inverse-consistent affine CT–MR registration in MRI-assisted and MRI-alone prostate radiation therapy. Medical Image Analysis. 23(1). 56–69. 49 indexed citations
11.
Baker, Charles M., Nicholas Dowson, Paul Thomas, & Stephen Rose. (2014). Modelling of FDG metabolism in liver voxels. Journal of Theoretical Biology. 365. 390–402. 2 indexed citations
12.
Bell, Christopher J., Stephen Rose, Simon Puttick, et al.. (2014). Dual acquisition of18F-FMISO and18F-FDOPA. Physics in Medicine and Biology. 59(14). 3925–3949. 7 indexed citations
13.
Puttick, Simon, Christopher J. Bell, Nicholas Dowson, Stephen Rose, & Michael Fay. (2014). PET, MRI, and simultaneous PET/MRI in the development of diagnostic and therapeutic strategies for glioma. Drug Discovery Today. 20(3). 306–317. 37 indexed citations
14.
Gal, Yaniv, Stephen Rose, Pierrick Bourgeat, et al.. (2012). Automatic classification of high grade brain tumour MRI for improved resection and therapy planning. Queensland's institutional digital repository (The University of Queensland). 10. 204–11. 1 indexed citations
15.
Rose, Stephen, Michael Fay, Paul Thomas, et al.. (2012). Correlation of MRI-Derived Apparent Diffusion Coefficients in Newly Diagnosed Gliomas with [18F]-Fluoro-L-Dopa PET: What Are We Really Measuring with Minimum ADC?. American Journal of Neuroradiology. 34(4). 758–764. 49 indexed citations
16.
Nguyen, Phan, Farzad Bashirzadeh, Olivier Salvado, et al.. (2011). Optical Differentiation Between Malignant and Benign Lymphadenopathy by Grey Scale Texture Analysis of Endobronchial Ultrasound Convex Probe Images. CHEST Journal. 141(3). 709–715. 32 indexed citations
17.
Dowson, Nicholas, Pierrick Bourgeat, Stephen Rose, et al.. (2010). Joint Factor and Kinetic Analysis of Dynamic FDOPA PET Scans of Brain Cancer Patients. Lecture notes in computer science. 13(Pt 2). 185–192. 1 indexed citations
18.
Rueda, Andrea, Oscar Acosta, Michel Couprie, et al.. (2010). Topology-corrected segmentation and local intensity estimates for improved partial volume classification of brain cortex in MRI. Journal of Neuroscience Methods. 188(2). 305–315. 23 indexed citations
19.
Dowson, Nicholas, Timor Kadir, & Richard Bowden. (2008). Estimating the Joint Statistics of Images Using Nonparametric Windows with Application to Registration Using Mutual Information. IEEE Transactions on Pattern Analysis and Machine Intelligence. 30(10). 1841–1857. 24 indexed citations
20.
Dowson, Nicholas & Richard Bowden. (2007). Mutual Information for Lucas-Kanade Tracking (MILK): An Inverse Compositional Formulation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 30(1). 180–185. 52 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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