James Hamill

1.2k total citations
70 papers, 893 citations indexed

About

James Hamill is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Biomedical Engineering. According to data from OpenAlex, James Hamill has authored 70 papers receiving a total of 893 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Radiology, Nuclear Medicine and Imaging, 33 papers in Radiation and 17 papers in Biomedical Engineering. Recurrent topics in James Hamill's work include Medical Imaging Techniques and Applications (50 papers), Radiomics and Machine Learning in Medical Imaging (25 papers) and Advanced Radiotherapy Techniques (19 papers). James Hamill is often cited by papers focused on Medical Imaging Techniques and Applications (50 papers), Radiomics and Machine Learning in Medical Imaging (25 papers) and Advanced Radiotherapy Techniques (19 papers). James Hamill collaborates with scholars based in United States, United Kingdom and Germany. James Hamill's co-authors include Vladimir Panin, R. J. Peterson, M.E. Casey, J.P. Jones, D.J. Kadrmas, Dirk De Ruysscher, Philippe Lambin, Michel Öllers, Christian Michel and Wouter van Elmpt and has published in prestigious journals such as Physics Letters B, The Economic Journal and IEEE Transactions on Medical Imaging.

In The Last Decade

James Hamill

64 papers receiving 860 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Hamill United States 16 701 356 277 102 102 70 893
Andreas Wetscherek United Kingdom 18 908 1.3× 490 1.4× 96 0.3× 66 0.6× 41 0.4× 54 1.0k
Nuno C. Ferreira Portugal 15 410 0.6× 286 0.8× 123 0.4× 67 0.7× 99 1.0× 52 596
Belal Moftah Saudi Arabia 19 337 0.5× 484 1.4× 114 0.4× 46 0.5× 140 1.4× 67 878
Jacobo Cal-González Spain 16 664 0.9× 282 0.8× 192 0.7× 61 0.6× 35 0.3× 47 789
P. Msaki Tanzania 16 800 1.1× 332 0.9× 383 1.4× 58 0.6× 18 0.2× 51 913
Johan Overweg Germany 6 828 1.2× 740 2.1× 123 0.4× 79 0.8× 18 0.2× 10 1.1k
R. Scafè Italy 16 548 0.8× 593 1.7× 103 0.4× 110 1.1× 92 0.9× 84 753
I. Cornelius Australia 18 358 0.5× 552 1.6× 55 0.2× 32 0.3× 67 0.7× 48 923
Jeffrey P. Schmall United States 15 705 1.0× 412 1.2× 216 0.8× 164 1.6× 36 0.4× 32 808
Mikio Suga Japan 13 468 0.7× 397 1.1× 163 0.6× 71 0.7× 22 0.2× 68 640

Countries citing papers authored by James Hamill

Since Specialization
Citations

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

Fields of papers citing papers by James Hamill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Hamill

This figure shows the co-authorship network connecting the top 25 collaborators of James Hamill. A scholar is included among the top collaborators of James Hamill 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 James Hamill. James Hamill 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.
Cabello, Jorge, et al.. (2025). Comparison of 3-D Scatter Correction Methods for a Long Axial Field of View PET Scanner. IEEE Transactions on Radiation and Plasma Medical Sciences. 9(8). 1083–1093.
2.
Hamill, James, N. Birge, Jim O’Doherty, Jonathon A. Nye, & Saeed Elojeimy. (2024). Technical note: Can photon‐counting CT improve PET/CT's quantitative accuracy?. Medical Physics. 51(10). 7206–7213. 1 indexed citations
3.
Hamill, James, Jorge Cabello, Suleman Surti, & Joel S. Karp. (2023). Energy‐based scatter estimation in clinical PET. Medical Physics. 51(1). 54–69. 2 indexed citations
4.
Hamill, James, et al.. (2020). Improved Alignment of PET and CT Images in Whole-Body PET/CT in Cases of Respiratory Motion During CT. Journal of Nuclear Medicine. 61(9). 1376–1380. 9 indexed citations
5.
Hamill, James, et al.. (2020). Data-driven respiratory gating of both PET and CT. 61. 1475–1475. 2 indexed citations
6.
Hamill, James. (2019). 2D Energy Histograms for Scatter Estimation in an SiPM PET Scanner. 1–4. 5 indexed citations
7.
Hamill, James, et al.. (2017). Mono-static CW Doppler Radar for Quantifying Respiratory Motion during PET/CT scans. 1–2. 1 indexed citations
8.
Hong, Inki, J.P. Jones, James Hamill, Christian Michel, & Michael Casey. (2016). Elastic motion correction for continuous bed motion whole-body PET/CT. 1–2. 6 indexed citations
9.
Hamill, James, et al.. (2013). Evaluation of CT‐based lean‐body SUV. Medical Physics. 40(9). 92504–92504. 11 indexed citations
10.
Büther, Florian, Iris Ernst, James Hamill, et al.. (2012). External radioactive markers for PET data-driven respiratory gating in positron emission tomography. European Journal of Nuclear Medicine and Molecular Imaging. 40(4). 602–614. 17 indexed citations
11.
Elmpt, Wouter van, James Hamill, J.P. Jones, et al.. (2011). Optimal gating compared to 3D and 4D PET reconstruction for characterization of lung tumours. European Journal of Nuclear Medicine and Molecular Imaging. 38(5). 843–855. 98 indexed citations
12.
Kadrmas, D.J., Tyler Bradshaw, M.E. Casey, & James Hamill. (2010). Scan time reduction with advanced PET reconstruction: Preserving lesion detection performance. 24. 2381–2387. 2 indexed citations
13.
Nye, Jonathon A., James Hamill, Dana Tudorascu, et al.. (2009). Comparison of low‐pitch and respiratory‐averaged CT protocols for attenuation correction of cardiac PET studies. Medical Physics. 36(5). 1618–1623. 13 indexed citations
14.
Kadrmas, D.J., et al.. (2008). Experimental Comparison of Lesion Detectability for Four Fully-3D PET Reconstruction Schemes. IEEE Transactions on Medical Imaging. 28(4). 523–534. 50 indexed citations
15.
Hamill, James, et al.. (2006). Is it normal for boys to pass carrots in their urine?. Pediatric Radiology. 36(4). 367–367. 2 indexed citations
16.
Hamill, James, Richard C. Brunken, Bohdan Bybel, Frank P. DiFilippo, & David Faul. (2006). A knowledge-based method for reducing attenuation artefacts caused by cardiac appliances in myocardial PET/CT. Physics in Medicine and Biology. 51(11). 2901–2918. 20 indexed citations
17.
Michel, Christian, James Hamill, Vladimir Panin, et al.. (2004). FORE(J)+OSEM2D versus OSEM3D reconstruction for large aperture rotating LSO panel detector PET prototype. 2002 IEEE Nuclear Science Symposium Conference Record. 2. 1231–1235. 5 indexed citations
18.
Cardella, Carl J., Daniel C. Cattran, S. Fenton, et al.. (2001). Optimization of cyclosporine exposure utilizing C2 level monitoring in de novo renal transplant recipients: the toronto general hospital experience. Transplantation Proceedings. 33(7-8). 3098–3099. 24 indexed citations
19.
Hamill, James. (1994). South Africa: Election '94 and the Rogue Provinces. 265(1543). 57–67.
20.
Peterson, R. J. & James Hamill. (1981). Proton stripping to 14N. Nuclear Physics A. 362(1). 163–172. 12 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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