Matthias Reumann

821 total citations
46 papers, 515 citations indexed

About

Matthias Reumann is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Matthias Reumann has authored 46 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cardiology and Cardiovascular Medicine, 14 papers in Molecular Biology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Matthias Reumann's work include Cardiac electrophysiology and arrhythmias (18 papers), Cardiac pacing and defibrillation studies (11 papers) and Cardiovascular Function and Risk Factors (7 papers). Matthias Reumann is often cited by papers focused on Cardiac electrophysiology and arrhythmias (18 papers), Cardiac pacing and defibrillation studies (11 papers) and Cardiovascular Function and Risk Factors (7 papers). Matthias Reumann collaborates with scholars based in United States, Germany and Australia. Matthias Reumann's co-authors include Angela Brand, Olaf Dössel, John Jeremy Rice, Brigitte Osswald, Lada Leyens, Gunnar Seemann, Laura Mählmann, Kelly L. Wyres, Kathryn E. Holt and Saurabh Garg and has published in prestigious journals such as Journal of the American College of Cardiology, Science Translational Medicine and Experimental Brain Research.

In The Last Decade

Matthias Reumann

44 papers receiving 505 citations

Peers

Matthias Reumann
Bernhard Pfeifer Austria
Brian L. Hill United States
Prasad Patil United States
Haitao Song China
Julia Weng Taiwan
Robert Hinch United Kingdom
Ryan Kellogg United States
Robert HC Chen United States
J. Weston Hughes United States
Sunyoung Kwon South Korea
Bernhard Pfeifer Austria
Matthias Reumann
Citations per year, relative to Matthias Reumann Matthias Reumann (= 1×) peers Bernhard Pfeifer

Countries citing papers authored by Matthias Reumann

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Reumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Reumann

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Reumann. A scholar is included among the top collaborators of Matthias Reumann 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 Matthias Reumann. Matthias Reumann 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.
Reumann, Matthias, et al.. (2017). Metabolomics in Sepsis and Its Impact on Public Health. Public Health Genomics. 20(5). 274–285. 25 indexed citations
2.
Mählmann, Laura, et al.. (2017). Personalized Medicine: What’s in it for Rare Diseases?. Advances in experimental medicine and biology. 1031. 387–404. 28 indexed citations
3.
Mählmann, Laura, et al.. (2017). Big Data for Public Health Policy-Making: Policy Empowerment. Public Health Genomics. 20(6). 312–320. 17 indexed citations
4.
MacInnis, Robert J., Daniel F. Schmidt, Enes Makalic, et al.. (2016). Use of a Novel Nonparametric Version of DEPTH to Identify Genomic Regions Associated with Prostate Cancer Risk. Cancer Epidemiology Biomarkers & Prevention. 25(12). 1619–1624. 3 indexed citations
5.
6.
Richards, David F., James N. Glosli, Erik W. Draeger, et al.. (2013). Towards real-time simulation of cardiac electrophysiology in a human heart at high resolution. Computer Methods in Biomechanics & Biomedical Engineering. 16(7). 802–805. 33 indexed citations
7.
Mirin, A.A., David F. Richards, James N. Glosli, et al.. (2012). Toward real-time modeling of human heart ventricles at cellular resolution: simulation of drug-induced arrhythmias. IEEE International Conference on High Performance Computing, Data, and Analytics. 1–11. 12 indexed citations
8.
Reumann, Matthias, Enes Makalic, Benjamin Goudey, et al.. (2012). Supercomputing enabling exhaustive statistical analysis of genome wide association study data: Preliminary results. PubMed. 426. 1258–1261. 4 indexed citations
9.
Pope, Bernard J., Blake G. Fitch, Michael C. Pitman, John Jeremy Rice, & Matthias Reumann. (2011). Performance of Hybrid Programming Models for Multiscale Cardiac Simulations: Preparing for Petascale Computation. IEEE Transactions on Biomedical Engineering. 58(10). 2965–2969. 13 indexed citations
10.
Reumann, Matthias, Blake G. Fitch, Aleksandr Rayshubskiy, Michael C. Pitman, & John Jeremy Rice. (2011). Orthogonal recursive bisection as data decomposition strategy for massively parallel cardiac simulations. Biomedizinische Technik/Biomedical Engineering. 56(3). 129–145. 6 indexed citations
11.
Reumann, Matthias, et al.. (2009). Concurrent optimization of timing delays and electrode positioning in biventricular pacing based on a computer heart model assuming 17 left ventricular segments. Biomedizinische Technik/Biomedical Engineering. 54(2). 55–65. 5 indexed citations
12.
Reumann, Matthias, et al.. (2008). Preventive Ablation Strategies in a Biophysical Model of Atrial Fibrillation Based on Realistic Anatomical Data. IEEE Transactions on Biomedical Engineering. 55(2). 399–406. 37 indexed citations
13.
Reumann, Matthias, et al.. (2007). Optimizing A-V and V-V delay in cardiac resynchronization therapy in simulations including ventricle heterogeneity. 20–25. 1 indexed citations
14.
Reumann, Matthias, et al.. (2007). Multiple wavelets, rotors, and snakes in atrial fibrillation—a computer simulation study. Journal of Electrocardiology. 40(4). 328–334. 16 indexed citations
15.
Reumann, Matthias, et al.. (2007). Computer model for the optimization of AV and VV delay in cardiac resynchronization therapy. Medical & Biological Engineering & Computing. 45(9). 845–854. 22 indexed citations
16.
Reumann, Matthias, et al.. (2007). Computer Based Optimization of Biventricular Pacing According to the Left Ventricular 17 Myocardial Segments. Conference proceedings. 42. 1418–1421. 3 indexed citations
17.
Dössel, Olaf, Matthias Reumann, Gunnar Seemann, & Daniel L. Weiß. (2006). The missing link between cardiovascular rhythm control and myocardial cell modeling. Biomedizinische Technik/Biomedical Engineering. 51(4). 205–209. 2 indexed citations
18.
Dössel, Olaf, et al.. (2006). Computer-assisted Planning of Cardiac Interventions and Heart Surgery.. GI Jahrestagung (1). 10(15). 499–506. 1 indexed citations
19.
Reumann, Matthias, et al.. (2006). Simulating Pulmonary Vein Activity Leading to Atrial Fibrillation Using a Rule-based Approach on Realistic Anatomical Data. PubMed. 110. 3943–3946. 4 indexed citations
20.
Dirnberger, G., et al.. (2000). Dissociation of motor preparation from memory and attentional processes using movement-related cortical potentials. Experimental Brain Research. 135(2). 231–240. 26 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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