Countries citing papers authored by Gunnar Seemann
Since
Specialization
Citations
This map shows the geographic impact of Gunnar Seemann'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 Gunnar Seemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gunnar Seemann more than expected).
This network shows the impact of papers produced by Gunnar Seemann. 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 Gunnar Seemann. The network helps show where Gunnar Seemann may publish in the future.
Co-authorship network of co-authors of Gunnar Seemann
This figure shows the co-authorship network connecting the top 25 collaborators of Gunnar Seemann.
A scholar is included among the top collaborators of Gunnar Seemann 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 Gunnar Seemann. Gunnar Seemann is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Colman, Michael A., et al.. (2014). Evaluating effects of fibrosis in atrial arrhythmogenesis using 3D computational modelling. Research Portal (King's College London). 41. 765–768.2 indexed citations
9.
Loewe, Axel, et al.. (2014). Optimization of pharmacotherapy for familial atrial fibrillation in a numerical model of human atrial electrophysiology. Computing in Cardiology. 41. 745–748.1 indexed citations
10.
Fritz, Thomas, et al.. (2014). Sensitivity study of fiber orientation on stroke volume in the human left ventricle. Computing in Cardiology Conference. 681–684.2 indexed citations
11.
Rottmann, Markus, Matthias Keller, Tobias Oesterlein, Gunnar Seemann, & Olaf Doessel. (2014). Comparison of different methods and catheter designs to estimate the rotor tip position - A simulation study. Computing in Cardiology Conference. 133–136.3 indexed citations
12.
Keller, Matthias, et al.. (2013). Influence of three-dimensional fibrotic patterns on simulated intracardiac electrogram morphology. Computing in Cardiology Conference. 923–926.3 indexed citations
13.
Wilhelms, Mathias, Mathias J. Krause, Eberhard Scholz, et al.. (2012). Calibration of human cardiac ion current models to patch clamp measurement data. Computing in Cardiology. 229–232.2 indexed citations
14.
Keller, Matthias, Steffen Schuler, Gunnar Seemann, & Olaf Dössel. (2012). Differences in intracardiac signals on a realistic catheter geometry using mono- and bidomain models. Computing in Cardiology. 305–308.7 indexed citations
15.
Kharche, Sanjay, et al.. (2012). Cardioversion using feedback stimuli in human atria. Computing in Cardiology. 133–136.1 indexed citations
16.
Lenk, Claudia, Mario Einax, Gunnar Seemann, & Philipp Maass. (2011). Interaction of pacemakers as generating mechanism of atrial fibrillation. Computing in Cardiology. 229–232.
17.
Seemann, Gunnar, et al.. (2010). Atrial fibrillation-based electrical remodeling in a computer model of the human atrium. Computing in Cardiology. 417–420.17 indexed citations
18.
Dössel, Olaf, et al.. (2009). Evaluation of rule-based approaches for the incorporation of skeletal muscle fiber orientation in patient-specific anatomies. 181–184.1 indexed citations
19.
Seemann, Gunnar, D. U. J. Keller, Daniel L. Weiß, & Olaf Dössel. (2006). Modeling human ventricular geometry and fiber orientation based on diffusion tensor MRI. Computing in Cardiology Conference. 801–804.14 indexed citations
20.
Seemann, Gunnar, et al.. (2000). Investigations on the type and on the correction of acidosis in young calves with diarrhoea.. 81(4). 314–317.3 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.