Georg Schummers

1.4k total citations
22 papers, 1.0k citations indexed

About

Georg Schummers is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Georg Schummers has authored 22 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cardiology and Cardiovascular Medicine, 14 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Surgery. Recurrent topics in Georg Schummers's work include Cardiac Imaging and Diagnostics (12 papers), Cardiovascular Function and Risk Factors (12 papers) and Cardiac pacing and defibrillation studies (7 papers). Georg Schummers is often cited by papers focused on Cardiac Imaging and Diagnostics (12 papers), Cardiovascular Function and Risk Factors (12 papers) and Cardiac pacing and defibrillation studies (7 papers). Georg Schummers collaborates with scholars based in Germany, United States and Netherlands. Georg Schummers's co-authors include Marcus Schreckenberg, Andreas Franke, Victor Mor‐Avi, Johannes Niel, Regina Steringer‐Mascherbauer, Christian Ebner, Lissa Sugeng, Frank Schmidt, Christian Galuschky and Roberto M. Lang and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Heart.

In The Last Decade

Georg Schummers

19 papers receiving 974 citations

Peers

Georg Schummers
Svein Arne Aase Norway
Marcus Schreckenberg United States
Richard Bae United States
Valentina Volpato Italy
Maria Concetta Pastore Italy
Laura A. Hallock United States
Andreas Østvik Norway
Sravani Gajjala United States
Christina Luong Canada
Abdul Rahman Ihdayhid Australia
Svein Arne Aase Norway
Georg Schummers
Citations per year, relative to Georg Schummers Georg Schummers (= 1×) peers Svein Arne Aase

Countries citing papers authored by Georg Schummers

Since Specialization
Citations

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

Fields of papers citing papers by Georg Schummers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georg Schummers

This figure shows the co-authorship network connecting the top 25 collaborators of Georg Schummers. A scholar is included among the top collaborators of Georg Schummers 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 Georg Schummers. Georg Schummers 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.
Schummers, Georg, Joseph M. Braun, Ute Möllmann, et al.. (2024). Kardiale Dyssynchronie bei Feten mit maternalem Diabetes mellitus, analysiert mit Speckle-Tracking-Echokardiographie (STE) und neuartigem M-Mode-Ansatz eines Softwareprototypen. Ultraschall in der Medizin - European Journal of Ultrasound. 45(S 01). S52–S53.
2.
Mor‐Avi, Victor, Marcus Schreckenberg, Karima Addetia, et al.. (2023). Deep learning assisted measurement of echocardiographic left heart parameters: improvement in interobserver variability and workflow efficiency. The International Journal of Cardiovascular Imaging. 39(12). 2507–2516.
3.
Schummers, Georg, Jörg Schröder, Nikolaus Marx, et al.. (2023). A graphical analysis of aspects contributing to the spreading of measurements of left ventricular function. The International Journal of Cardiovascular Imaging. 39(5). 915–927. 1 indexed citations
4.
Verdonschot, Job A.J., Michiel T.H.M. Henkens, Ping Wang, et al.. (2021). A Global Longitudinal Strain Cut-Off Value to Predict Adverse Outcomes in Individuals with a Normal Ejection Fraction. ESC Heart Failure. 8(5). 4343–4345. 19 indexed citations
5.
Narang, Akhil, Victor Mor‐Avi, Marcus Schreckenberg, et al.. (2020). Virtual Reality Analysis of Three-Dimensional Echocardiographic and Cardiac Computed Tomographic Data Sets. Journal of the American Society of Echocardiography. 33(11). 1306–1315. 14 indexed citations
6.
Verdonschot, Job A.J., Jort J. Merken, Hans‐Peter Brunner‐La Rocca, et al.. (2019). Value of Speckle Tracking–Based Deformation Analysis in Screening Relatives of Patients With Asymptomatic Dilated Cardiomyopathy. JACC. Cardiovascular imaging. 13(2). 549–558. 39 indexed citations
7.
Smulders, Martijn W., Jordi Heijman, Joost Lumens, et al.. (2018). Adding Speckle-Tracking Echocardiography to Visual Assessment of Systolic Wall Motion Abnormalities Improves the Detection of Myocardial Infarction. Journal of the American Society of Echocardiography. 32(1). 65–73. 20 indexed citations
8.
Knackstedt, Christian, Sebastiaan C.A.M. Bekkers, Georg Schummers, et al.. (2015). Fully Automated Versus Standard Tracking of Left Ventricular Ejection Fraction and Longitudinal Strain. Journal of the American College of Cardiology. 66(13). 1456–1466. 180 indexed citations
9.
Skornitzke, Stephan, Georg Schummers, Marcus Schreckenberg, et al.. (2015). Mass-spring systems for simulating mitral valve repair using 3D ultrasound images. Computerized Medical Imaging and Graphics. 45. 26–35. 5 indexed citations
10.
Buss, Sebastian J., Derliz Mereles, Waldemar Hosch, et al.. (2013). Quantitative analysis of left ventricular strain using cardiac computed tomography. European Journal of Radiology. 83(3). e123–e130. 40 indexed citations
11.
Buss, Sebastian J., David Wolf, Waldemar Hosch, et al.. (2012). Quantitative analysis of left ventricular dyssynchrony using cardiac computed tomography versus three-dimensional echocardiography. European Radiology. 22(6). 1303–1309. 8 indexed citations
12.
Franke, Andreas, Marcus Schreckenberg, Georg Schummers, et al.. (2012). Beat to beat 3-dimensional intracardiac echocardiography: theoretical approach and practical experiences. International journal of cardiac imaging. 29(4). 753–764. 3 indexed citations
13.
Knackstedt, Christian, Georg Mühlenbruch, Karl Mischke, et al.. (2010). Registration of coronary venous anatomy to the site of the latest mechanical contraction. Acta Cardiologica. 65(2). 161–170. 2 indexed citations
14.
Sugeng, Lissa, Lynn Weinert, Johannes Niel, et al.. (2010). Multimodality Comparison of Quantitative Volumetric Analysis of the Right Ventricle. JACC. Cardiovascular imaging. 3(1). 10–18. 7 indexed citations
15.
Koos, Ralf, Mirja Neizel, Georg Schummers, et al.. (2008). Feasibility and initial experience of assessment of mechanical dyssynchrony using cardiovascular magnetic resonance and semi-automatic border detection. Journal of Cardiovascular Magnetic Resonance. 10(1). 49–49. 27 indexed citations
16.
Knackstedt, Christian, Georg Mühlenbruch, Karl Mischke, et al.. (2008). Imaging of the Coronary Venous System: Validation of Three-Dimensional Rotational Venous Angiography Against Dual-Source Computed Tomography. CardioVascular and Interventional Radiology. 31(6). 1150–1158. 11 indexed citations
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19.
Sugeng, Lissa, Victor Mor‐Avi, Lynn Weinert, et al.. (2006). Quantitative Assessment of Left Ventricular Size and Function. Circulation. 114(7). 654–661. 349 indexed citations
20.
Kühl, Harald P., Marcus Schreckenberg, Dierk Rulands, et al.. (2004). High-resolution transthoracic real-time three-dimensional echocardiography. Journal of the American College of Cardiology. 43(11). 2083–2090. 219 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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