Brian Thomsen

474 total citations
11 papers, 249 citations indexed

About

Brian Thomsen is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Brian Thomsen has authored 11 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Biomedical Engineering and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Brian Thomsen's work include Advanced X-ray and CT Imaging (8 papers), Cardiac Imaging and Diagnostics (5 papers) and Radiation Dose and Imaging (4 papers). Brian Thomsen is often cited by papers focused on Advanced X-ray and CT Imaging (8 papers), Cardiac Imaging and Diagnostics (5 papers) and Radiation Dose and Imaging (4 papers). Brian Thomsen collaborates with scholars based in United States, Spain and Italy. Brian Thomsen's co-authors include Fabio Becce, Damien Racine, Anaïs Viry, Francis R. Verdun, David C. Rotzinger, Pascal Monnin, Sandeep Dutta, Rahul Bhotika, Mahnaz Maddah and Paulo R. S. Mendonça and has published in prestigious journals such as European Radiology, Journal of Computer Assisted Tomography and European Journal of Radiology.

In The Last Decade

Brian Thomsen

10 papers receiving 246 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian Thomsen United States 7 227 193 20 17 15 11 249
Yukihiro Enchi Japan 12 220 1.0× 183 0.9× 31 1.6× 45 2.6× 45 3.0× 26 300
Daisuke Sakabe Japan 13 348 1.5× 286 1.5× 36 1.8× 41 2.4× 43 2.9× 35 403
Klement Neumaier Germany 7 300 1.3× 258 1.3× 10 0.5× 8 0.5× 44 2.9× 10 334
Takafumi Emoto Japan 10 265 1.2× 203 1.1× 20 1.0× 50 2.9× 35 2.3× 16 313
Julia Dangelmaier Germany 8 345 1.5× 336 1.7× 20 1.0× 8 0.5× 34 2.3× 11 378
Arwed Elias Michael Germany 10 232 1.0× 228 1.2× 12 0.6× 5 0.3× 24 1.6× 30 282
Narumi Taguchi Japan 10 265 1.2× 220 1.1× 26 1.3× 7 0.4× 31 2.1× 21 300
Chankue Park South Korea 9 197 0.9× 162 0.8× 63 3.1× 4 0.2× 16 1.1× 32 269
Thomas Stein Germany 10 239 1.1× 263 1.4× 43 2.1× 36 2.1× 35 2.3× 26 362
Isabelle Ayx Germany 12 269 1.2× 230 1.2× 23 1.1× 35 2.1× 22 1.5× 23 307

Countries citing papers authored by Brian Thomsen

Since Specialization
Citations

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

Fields of papers citing papers by Brian Thomsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Thomsen

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

All Works

11 of 11 papers shown
1.
Thomsen, Brian, Ingrid Reiser, Juan Ignacio Cotella, et al.. (2025). Coronary computed tomography angiography without ECG leads; A feasibility study. Current Problems in Diagnostic Radiology.
2.
Kageyama, Shigetaka, Patrick W. Serruys, Scot Garg, et al.. (2023). Coronary computed tomography angiography-based SYNTAX score for comprehensive assessment of advanced coronary artery disease. Journal of cardiovascular computed tomography. 18(2). 120–136. 3 indexed citations
3.
Jung, Yunsub, Jin Hur, Kyunghwa Han, et al.. (2023). Radiation dose reduction using deep learning-based image reconstruction for a low-dose chest computed tomography protocol: a phantom study. Quantitative Imaging in Medicine and Surgery. 13(3). 1937–1947. 4 indexed citations
4.
Lyu, Peijie, Justin Solomon, Yuqin Ding, et al.. (2021). Effect of deep learning image reconstruction in the prediction of resectability of pancreatic cancer: Diagnostic performance and reader confidence. European Journal of Radiology. 141. 109825–109825. 29 indexed citations
5.
Corrias, Giuseppe, Claudia Sardu, Luca Saba, et al.. (2021). Comparison of Multimaterial Decomposition Fat Fraction with DECT and Proton Density Fat Fraction with IDEAL IQ MRI for Quantification of Liver Steatosis in a Population Exposed to Chemotherapy. Dose-Response. 19(2). 3584433770–3584433770. 9 indexed citations
6.
Adams, William, et al.. (2021). Validation of Second-Generation Motion-Correction Software for Computed Tomography Coronary Angiography With Novel Quantitative Approach. Journal of Computer Assisted Tomography. 45(3). 403–407. 3 indexed citations
7.
8.
Sun, Ying, Ziqing Ye, Lei Xu, et al.. (2019). Second-generation motion correction algorithm improves diagnostic accuracy of single-beat coronary CT angiography in patients with increased heart rate. European Radiology. 29(8). 4215–4227. 34 indexed citations
9.
10.
Mendonça, Paulo R. S., Rahul Bhotika, Mahnaz Maddah, et al.. (2010). Multi-material decomposition of spectral CT images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7622. 76221W–76221W. 40 indexed citations
11.
Santamaría-Pang, Alberto, Sandeep Dutta, Sokratis Makrogiannis, et al.. (2010). Automated liver lesion characterization using fast kVp switching dual energy computed tomography imaging. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7624. 76240V–76240V. 18 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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2026