Chris Schwemmer

1.6k total citations · 2 hit papers
32 papers, 1.1k citations indexed

About

Chris Schwemmer is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Biomedical Engineering. According to data from OpenAlex, Chris Schwemmer has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Surgery and 14 papers in Biomedical Engineering. Recurrent topics in Chris Schwemmer's work include Cardiac Imaging and Diagnostics (23 papers), Coronary Interventions and Diagnostics (14 papers) and Advanced X-ray and CT Imaging (14 papers). Chris Schwemmer is often cited by papers focused on Cardiac Imaging and Diagnostics (23 papers), Coronary Interventions and Diagnostics (14 papers) and Advanced X-ray and CT Imaging (14 papers). Chris Schwemmer collaborates with scholars based in Germany, United States and Netherlands. Chris Schwemmer's co-authors include Saikiran Rapaka, Puneet Sharma, Max Schöebinger, Lucian Itu, U. Joseph Schoepf, Bogdan Georgescu, Dorin Comaniciu, Tiziano Passerini, Thomas Flohr and Christian Tesche and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Scientific Reports.

In The Last Decade

Chris Schwemmer

32 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography–Based Fractional Flow Reserve

2018 271 citations Adriaan Coenen, Young‐Hak Kim et al. Circulation Cardiovascular Imaging profile →
A machine-learning approach for computation of fractional flow reserve from coronary computed tomography

2016 268 citations Lucian Itu, Saikiran Rapaka et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chris Schwemmer Germany	13	879	475	402	391	88	32	1.1k
Max Schöebinger Germany	12	555 0.6×	380 0.8×	222 0.6×	241 0.6×	152 1.7×	27	823
Robbert W. van Hamersvelt Netherlands	15	955 1.1×	189 0.4×	739 1.8×	191 0.5×	129 1.5×	33	1.2k
Soo‐Jin Kang South Korea	18	792 0.9×	630 1.3×	222 0.6×	807 2.1×	107 1.2×	66	1.3k
Marly van Assen United States	24	1.2k 1.3×	344 0.7×	714 1.8×	476 1.2×	153 1.7×	89	1.5k
Alberto Gómez United Kingdom	17	232 0.3×	203 0.4×	244 0.6×	282 0.7×	213 2.4×	55	779
Christian Tesche Germany	25	1.9k 2.2×	1.0k 2.1×	972 2.4×	880 2.3×	263 3.0×	99	2.3k
Erik Smistad Norway	19	583 0.7×	144 0.3×	205 0.5×	449 1.1×	155 1.8×	53	1.1k
Joshy Cyriac Switzerland	11	496 0.6×	123 0.3×	271 0.7×	64 0.2×	131 1.5×	22	789
Adriaan Coenen Netherlands	15	1.1k 1.3×	689 1.5×	439 1.1×	535 1.4×	139 1.6×	29	1.3k
Pooyan Sahbaee United States	19	1.1k 1.2×	81 0.2×	827 2.1×	103 0.3×	199 2.3×	54	1.2k

Countries citing papers authored by Chris Schwemmer

Since Specialization

Citations

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

Fields of papers citing papers by Chris Schwemmer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Schwemmer

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

All Works

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20 of 20 papers shown

Soschynski, Martin, Muhammad Taha Hagar, Sebastian Faby, et al.. (2024). CT Myocardial Perfusion and CT-FFR versus Invasive FFR for Hemodynamic Relevance of Coronary Artery Disease. Radiology. 312(2). e233234–e233234. 5 indexed citations

Abdelkarim, Ola, Kristian Kragholm, Myra Cocker, et al.. (2023). AI-based, automated chamber volumetry from gated, non-contrast CT. Journal of cardiovascular computed tomography. 17(5). 336–340. 5 indexed citations

Itu, Lucian, Serkan Çimen, Michael Wels, et al.. (2022). Normalizing Flows for Out-of-Distribution Detection: Application to Coronary Artery Segmentation. Applied Sciences. 12(8). 3839–3839. 1 indexed citations

Rifai, Mahmoud Al, Ahmed Ibrahim Ahmed, Yushui Han, et al.. (2022). Sex differences in machine learning computed tomography-derived fractional flow reserve. Scientific Reports. 12(1). 13861–13861. 4 indexed citations

Ahmed, Ahmed Ibrahim, Yushui Han, Faisal Nabi, et al.. (2021). PROGNOSTIC VALUE OF COMPUTED TOMOGRAPHY DERIVED FRACTIONAL FLOW RESERVE COMPARISON WITH MYOCARDIAL PERFUSION IMAGING. Journal of the American College of Cardiology. 77(18). 1267–1267. 4 indexed citations

Aquino, Gilberto J., Andres F. Abadia, U. Joseph Schoepf, et al.. (2021). Coronary CT Fractional Flow Reserve before Transcatheter Aortic Valve Replacement: Clinical Outcomes. Radiology. 302(1). 50–58. 16 indexed citations

Ahmed, Ahmed Ibrahim, Yushui Han, Mahmoud Al Rifai, et al.. (2021). Prognostic Value of Computed Tomography-Derived Fractional Flow Reserve Comparison With Myocardial Perfusion Imaging. JACC. Cardiovascular imaging. 15(2). 284–295. 13 indexed citations

Lee, Heon, Simon S. Martin, Jeremy R. Burt, et al.. (2020). Machine Learning and Coronary Artery Calcium Scoring. Current Cardiology Reports. 22(9). 90–90. 26 indexed citations

Schoepf, U. Joseph, Marly van Assen, Matthias Renker, et al.. (2020). A fully automated software platform for structural mitral valve analysis. European Radiology. 30(12). 6528–6536. 1 indexed citations

10.

Baumann, Stefan, Christian Tesche, Tobias Becher, et al.. (2018). Association of Serum Lipid Profile With Coronary Computed Tomographic Angiography–derived Morphologic and Functional Quantitative Plaque Markers. Journal of Thoracic Imaging. 34(1). 26–32. 4 indexed citations

11.

Mihl, Casper, Chris Schwemmer, Babs M.F. Hendriks, et al.. (2018). Aortic root evaluation prior to transcatheter aortic valve implantation—Correlation of manual and semi-automatic measurements. PLoS ONE. 13(6). e0199732–e0199732. 11 indexed citations

12.

Röther, Jens, Damini Dey, Chris Schwemmer, et al.. (2018). Comparison of invasively measured FFR with FFR derived from coronary CT angiography for detection of lesion-specific ischemia: Results from a PC-based prototype algorithm. Journal of cardiovascular computed tomography. 12(2). 101–107. 33 indexed citations

13.

Coenen, Adriaan, Young‐Hak Kim, Mariusz Kruk, et al.. (2018). Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography–Based Fractional Flow Reserve. Circulation Cardiovascular Imaging. 11(6). e007217–e007217. 271 indexed citations breakdown →

14.

Tesche, Christian, Carlo N. De Cecco, Stefan Baumann, et al.. (2018). Coronary CT Angiography–derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling. Radiology. 288(1). 64–72. 170 indexed citations

15.

Müller, Kerstin, Andreas Maier, Yefeng Zheng, et al.. (2014). Interventional heart wall motion analysis with cardiac C-arm CT systems. Physics in Medicine and Biology. 59(9). 2265–2284. 6 indexed citations

16.

Schwemmer, Chris, Christoph Forman, Jens Wetzl, Andreas Maier, & Joachim Hornegger. (2014). CoroEval: a multi-platform, multi-modality tool for the evaluation of 3D coronary vessel reconstructions. Physics in Medicine and Biology. 59(17). 5163–5174. 12 indexed citations

17.

Müller, Kerstin, Chris Schwemmer, Joachim Hornegger, et al.. (2013). Evaluation of interpolation methods for surface‐based motion compensated tomographic reconstruction for cardiac angiographic C‐arm data. Medical Physics. 40(3). 31107–31107. 12 indexed citations

18.

Maier, Andreas, Hannes Hofmann, Martin Berger, et al.. (2013). CONRAD—A software framework for cone‐beam imaging in radiology. Medical Physics. 40(11). 111914–111914. 74 indexed citations

19.

Maier, Andreas, Hannes Hofmann, Chris Schwemmer, et al.. (2012). Fast simulation of x-ray projections of spline-based surfaces using an append buffer. Physics in Medicine and Biology. 57(19). 6193–6210. 21 indexed citations

20.

Schwemmer, Chris, et al.. (2010). High-Density Object Removal from Projection Images using Low-Frequency-Based Object Masking.. 365–369. 2 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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