David C. Rotzinger

1.5k total citations
76 papers, 816 citations indexed

About

David C. Rotzinger is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, David C. Rotzinger has authored 76 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Cardiology and Cardiovascular Medicine and 20 papers in Surgery. Recurrent topics in David C. Rotzinger's work include Cardiac Imaging and Diagnostics (18 papers), Advanced X-ray and CT Imaging (18 papers) and Radiation Dose and Imaging (15 papers). David C. Rotzinger is often cited by papers focused on Cardiac Imaging and Diagnostics (18 papers), Advanced X-ray and CT Imaging (18 papers) and Radiation Dose and Imaging (15 papers). David C. Rotzinger collaborates with scholars based in Switzerland, France and United States. David C. Rotzinger's co-authors include Fabio Becce, Salah D. Qanadli, Damien Racine, Reto Meuli, Anaïs Viry, Pascal Monnin, Salim Si‐Mohamed, Francis R. Verdun, Gunnar Krueger and Renaud Du Pasquier and has published in prestigious journals such as PLoS ONE, Stroke and Scientific Reports.

In The Last Decade

David C. Rotzinger

66 papers receiving 802 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David C. Rotzinger Switzerland 16 525 356 121 115 97 76 816
Ahmed E. Othman Germany 20 959 1.8× 320 0.9× 37 0.3× 31 0.3× 233 2.4× 93 1.3k
Adrian Ringelstein Germany 17 425 0.8× 269 0.8× 68 0.6× 25 0.2× 257 2.6× 55 1.0k
Jonathan Frederik Carlsen Denmark 18 466 0.9× 216 0.6× 39 0.3× 38 0.3× 157 1.6× 53 912
Yair Safriel United States 16 286 0.5× 54 0.2× 108 0.9× 41 0.4× 48 0.5× 26 749
Austin J. Borja United States 13 233 0.4× 58 0.2× 48 0.4× 109 0.9× 171 1.8× 86 526
Sheng Wu China 20 752 1.4× 490 1.4× 17 0.1× 29 0.3× 170 1.8× 53 1.3k
Riccardo Marano Italy 21 701 1.3× 381 1.1× 19 0.2× 320 2.8× 360 3.7× 102 1.3k
Antonio Giulio Gennari Switzerland 14 258 0.5× 142 0.4× 29 0.2× 37 0.3× 69 0.7× 58 634
Brett Heilbron Canada 21 1.0k 1.9× 790 2.2× 15 0.1× 442 3.8× 98 1.0× 43 1.5k
Ruth Eliahou Israel 11 212 0.4× 192 0.5× 28 0.2× 9 0.1× 163 1.7× 36 536

Countries citing papers authored by David C. Rotzinger

Since Specialization
Citations

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

Fields of papers citing papers by David C. Rotzinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David C. Rotzinger. 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 David C. Rotzinger. The network helps show where David C. Rotzinger may publish in the future.

Co-authorship network of co-authors of David C. Rotzinger

This figure shows the co-authorship network connecting the top 25 collaborators of David C. Rotzinger. A scholar is included among the top collaborators of David C. Rotzinger 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 David C. Rotzinger. David C. Rotzinger 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.
Ferrari, Jill, et al.. (2025). Can advanced large language models support radiology training? A performance assessment of DeepSeek R1. SERVAL (Université de Lausanne). 3. 100024–100024. 1 indexed citations
2.
Rotzinger, David C., Salah D. Qanadli, Olivier Müller, et al.. (2025). AI-Driven multi-view learning from CCTA for myocardial infarction diagnosis. The International Journal of Cardiovascular Imaging. 42(3). 543–549.
3.
Rotzinger, David C., et al.. (2024). ChatGPT versus Radiology Institutional Websites: Comparative Analysis of Radiation Protection Information Provided to Patients. Radiology. 311(3). e233465–e233465. 1 indexed citations
4.
Boccalini, Sara, Hugo Lacombe, Meyer Elbaz, et al.. (2024). Quantification of Coronary Artery Stenosis in Very-High-Risk Patients Using Ultra-High Resolution Spectral Photon-Counting CT. Investigative Radiology. 60(2). 114–122. 10 indexed citations
5.
Meier, David, Ioannis Skalidis, David C. Rotzinger, et al.. (2024). Assessing the need for coronary angiography in high-risk non-ST-elevation acute coronary syndrome patients using artificial intelligence and computed tomography. The International Journal of Cardiovascular Imaging. 41(1). 55–61. 2 indexed citations
6.
Boccalini, Sara, Hugo Lacombe, Marjorie Villien, et al.. (2024). Ultra-high-resolution 40 keV virtual monoenergetic imaging using spectral photon-counting CT in high-risk patients for coronary stenoses. European Radiology. 35(6). 3042–3053. 4 indexed citations
7.
Rotzinger, David C., et al.. (2024). Value of projectional imaging relative to cross-sectional imaging to assess catheter tip position in the superior vena cava: evaluation of reader variability. British Journal of Radiology. 98(1166). 237–245. 2 indexed citations
8.
Meier, David, Ioannis Skalidis, David C. Rotzinger, et al.. (2024). Assessing the need for coronary angiography in high-risk acute coronary syndrome patients using artificial intelligence and computed tomography. European Heart Journal. 45(Supplement_1).
9.
Antiochos, Panagiotis, Γεώργιος Τζίμας, David C. Rotzinger, et al.. (2024). Energy Loss Index and Dimensionless Index Outperform Direct Valve Planimetry in Low-Gradient Aortic Stenosis. Journal of Clinical Medicine. 13(11). 3220–3220.
10.
11.
Rotzinger, David C., et al.. (2023). Virtually Augmented Self-Hypnosis in Peripheral Vascular Intervention: A Randomized Controlled Trial. CardioVascular and Interventional Radiology. 46(6). 786–793. 11 indexed citations
12.
Rezaei‐Kalantari, Kiara, et al.. (2023). Insights into pelvic venous disorders. Frontiers in Cardiovascular Medicine. 10. 1102063–1102063. 9 indexed citations
13.
Rotzinger, David C., et al.. (2023). Low-iodine 40-keV virtual monoenergetic CT angiography of the lower extremities. Frontiers in Cardiovascular Medicine. 10. 1276738–1276738. 2 indexed citations
14.
Rotzinger, David C., Alexander Sauter, Hatem Alkadhi, et al.. (2022). Acute Pulmonary Embolism in COVID-19: A Potential Connection between Venous Congestion and Thrombus Distribution. Biomedicines. 10(6). 1300–1300. 3 indexed citations
15.
Rotzinger, David C., et al.. (2022). Three-Dimensional Adaptive Image Compression Concept for Medical Imaging: Application to Computed Tomography Angiography for Peripheral Arteries. Journal of Cardiovascular Development and Disease. 9(5). 137–137. 3 indexed citations
16.
Boccalini, Sara, Salim Si‐Mohamed, David C. Rotzinger, et al.. (2022). Effect of contrast material injection protocol on first-pass myocardial perfusion assessed by dual-energy dual-layer computed tomography. Quantitative Imaging in Medicine and Surgery. 12(7). 3903–3916. 8 indexed citations
17.
Qanadli, Salah D., Alexander Sauter, Hatem Alkadhi, et al.. (2021). Vascular Abnormalities Detected with Chest CT in COVID-19: Spectrum, Association with Parenchymal Lesions, Cardiac Changes, and Correlation with Clinical Severity (COVID-CAVA Study). Diagnostics. 11(4). 606–606. 3 indexed citations
18.
Qanadli, Salah D. & David C. Rotzinger. (2020). Vascular Abnormalities as Part of Chest CT Findings in COVID-19. Radiology Cardiothoracic Imaging. 2(2). e200161–e200161. 6 indexed citations
19.
Rotzinger, David C., Damien Racine, Catherine Beigelman‐Aubry, et al.. (2018). Task-Based Model Observer Assessment of A Partial Model-Based Iterative Reconstruction Algorithm in Thoracic Oncologic Multidetector CT. Scientific Reports. 8(1). 17734–17734. 28 indexed citations
20.
Bonnier, Guillaume, Alexis Roche, David Romascano, et al.. (2015). Multicontrast MRI Quantification of Focal Inflammation and Degeneration in Multiple Sclerosis. BioMed Research International. 2015. 1–9. 17 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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