Jonathan Sykes

1.7k total citations
87 papers, 1.2k citations indexed

About

Jonathan Sykes is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jonathan Sykes has authored 87 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Radiology, Nuclear Medicine and Imaging, 53 papers in Radiation and 34 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jonathan Sykes's work include Advanced Radiotherapy Techniques (52 papers), Medical Imaging Techniques and Applications (30 papers) and Radiomics and Machine Learning in Medical Imaging (16 papers). Jonathan Sykes is often cited by papers focused on Advanced Radiotherapy Techniques (52 papers), Medical Imaging Techniques and Applications (30 papers) and Radiomics and Machine Learning in Medical Imaging (16 papers). Jonathan Sykes collaborates with scholars based in Australia, United Kingdom and United States. Jonathan Sykes's co-authors include Ali Amer, David Thwaites, Tom Marchant, C. J. Moore, Ann Henry, J Czajka, R. Speight, C. Moore, Peter Williams and Pat Price and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Physics in Medicine and Biology and Medical Physics.

In The Last Decade

Jonathan Sykes

78 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Sykes Australia 21 848 773 448 279 150 87 1.2k
Álvaro Martínez United States 14 974 1.1× 876 1.1× 572 1.3× 257 0.9× 250 1.7× 33 1.6k
C. Rowbottom United Kingdom 21 1.1k 1.2× 746 1.0× 813 1.8× 178 0.6× 178 1.2× 69 1.5k
N. Reynaert Belgium 25 1.5k 1.8× 1.3k 1.6× 1.1k 2.5× 421 1.5× 115 0.8× 96 1.9k
Matthias Söhn Germany 21 931 1.1× 635 0.8× 737 1.6× 234 0.8× 69 0.5× 52 1.2k
Jason W. Sohn United States 20 717 0.8× 588 0.8× 542 1.2× 200 0.7× 106 0.7× 73 1.2k
Anand P. Santhanam United States 14 562 0.7× 546 0.7× 387 0.9× 284 1.0× 52 0.3× 70 906
Mark J. Gooding United Kingdom 21 781 0.9× 1.1k 1.4× 378 0.8× 453 1.6× 51 0.3× 64 1.6k
Linda J. Brewster United States 12 1.2k 1.4× 891 1.2× 882 2.0× 175 0.6× 184 1.2× 21 1.6k
Byungchul Cho South Korea 26 1.6k 1.9× 1.4k 1.8× 1.0k 2.3× 388 1.4× 204 1.4× 78 2.1k

Countries citing papers authored by Jonathan Sykes

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Sykes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Sykes

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Sykes. A scholar is included among the top collaborators of Jonathan Sykes 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 Jonathan Sykes. Jonathan Sykes 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.
Aminifar, Farrokh, et al.. (2025). Driving Innovation: Leveraging cloud platforms for grid modernization. IEEE Electrification Magazine. 13(1). 30–41.
2.
Field, Matthew, Shalini Vinod, Geoff P. Delaney, et al.. (2024). Federated Learning Survival Model and Potential Radiotherapy Decision Support Impact Assessment for Non–small Cell Lung Cancer Using Real-World Data. Clinical Oncology. 36(7). e197–e208. 4 indexed citations
3.
Haidar, Ali, Matthew Field, Vikneswary Batumalai, et al.. (2023). Standardising Breast Radiotherapy Structure Naming Conventions: A Machine Learning Approach. Cancers. 15(3). 564–564. 4 indexed citations
4.
Penfold, Scott, Peter Gorayski, Eunji Hwang, et al.. (2023). Proton‐to‐photon comparative treatment planning guidelines for the Australian context. Journal of Medical Imaging and Radiation Oncology. 67(3). 320–328. 1 indexed citations
5.
Field, Matthew, David Thwaites, Martin Carolan, et al.. (2022). Infrastructure platform for privacy-preserving distributed machine learning development of computer-assisted theragnostics in cancer. Journal of Biomedical Informatics. 134. 104181–104181. 13 indexed citations
6.
Sykes, Jonathan, et al.. (2022). PCXMC cone beam computed tomography dosimetry investigations. Physical and Engineering Sciences in Medicine. 45(1). 205–218. 1 indexed citations
7.
Sykes, Jonathan, et al.. (2022). A comparison of in-house and shared RapidPlan models for prostate radiation therapy planning. Physical and Engineering Sciences in Medicine. 45(4). 1029–1041. 3 indexed citations
8.
Field, Matthew, Shalini Vinod, Noel J. Aherne, et al.. (2021). Implementation of the Australian Computer‐Assisted Theragnostics (AusCAT) network for radiation oncology data extraction, reporting and distributed learning. Journal of Medical Imaging and Radiation Oncology. 65(5). 627–636. 16 indexed citations
9.
Sykes, Jonathan, et al.. (2021). Towards zero radiation isocentre size: minimising radiation beam isocentricity on Elekta linear accelerators by means of optimising look-up tables. Physical and Engineering Sciences in Medicine. 44(2). 557–563. 2 indexed citations
10.
Sykes, Jonathan, et al.. (2019). Evaluation of dual energy CT and iterative metal artefact reduction (iMAR) for artefact reduction in radiation therapy. Australasian Physical & Engineering Sciences in Medicine. 42(4). 1025–1032. 9 indexed citations
11.
Hau, Eric, et al.. (2018). Changes in Brain Metastasis During Radiosurgical Planning. International Journal of Radiation Oncology*Biology*Physics. 102(4). 727–733. 34 indexed citations
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14.
Subesinghe, Manil, Andrew Scarsbrook, Steven Sourbron, et al.. (2015). Alterations in anatomic and functional imaging parameters with repeated FDG PET-CT and MRI during radiotherapy for head and neck cancer: a pilot study. BMC Cancer. 15(1). 137–137. 35 indexed citations
15.
Bird, D. J., Andrew Scarsbrook, Jonathan Sykes, et al.. (2015). Multimodality imaging with CT, MR and FDG-PET for radiotherapy target volume delineation in oropharyngeal squamous cell carcinoma. BMC Cancer. 15(1). 844–844. 45 indexed citations
16.
Sykes, Jonathan, et al.. (2014). Automatic image registration performance for two different CBCT systems; variation with imaging dose. Journal of Physics Conference Series. 489. 12070–12070. 3 indexed citations
17.
Sykes, Jonathan, et al.. (2008). Measurement of cone beam CT coincidence with megavoltage isocentre and image sharpness using the QUASAR™ Penta-Guide phantom. Physics in Medicine and Biology. 53(19). 5275–5293. 20 indexed citations
18.
Moore, C. J., Ali Amer, Tom Marchant, et al.. (2006). Developments in and experience of kilovoltage X-ray cone beam image-guided radiotherapy. British Journal of Radiology. 79(special_issue_1). S66–S78. 38 indexed citations
19.
Amer, Ali, Jonathan Sykes, & Christopher Moore. (2004). Imaging panel skew correction and auto-focusing in radiotherapy cone beam imaging. Proceedings. Eighth International Conference on Information Visualisation, 2004. IV 2004.. 92–97. 2 indexed citations
20.
Sykes, Jonathan, et al.. (1993). Basics of Millard Rotation - Advancement Technique for Repair of the Unilateral Cleft Lip Deformity. Facial Plastic Surgery. 9(3). 167–176. 10 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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