Martin R. Pfaller
- Cardiology and Cardiovascular Medicine top 10%
- Biomedical Engineering
- Surgery
- Pulmonary and Respiratory Medicine
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Alison L. MarsdenWolfgang A. WallErica L. SchwarzMona EskandariEllen KuhlCristóbal BertoglioJonathan PhamWeiguang Yang
- Topics
- Cardiovascular Function and Risk Factors (12 papers)Elasticity and Material Modeling (9 papers)Model Reduction and Neural Networks (4 papers)
- Cited by
- Cardiology and Cardiovascular MedicineStatistical and Nonlinear PhysicsBiomedical Engineering
- Journals
- Computer Methods in Applied Mechanics and EngineeringIEEE Transactions on Biomedical EngineeringMaterials
- Partner nations
- United StatesGermanyChile
In The Last Decade
Martin R. Pfaller
21 papers receiving 361 citations
Peers
Comparison fields: 5 of 69
- Cardiology and Cardiovascular Medicine 176
- Biomedical Engineering 113
- Surgery 91
- Pulmonary and Respiratory Medicine 62
- Statistical and Nonlinear Physics 55
Countries citing papers authored by Martin R. Pfaller
This map shows the geographic impact of Martin R. Pfaller'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 Martin R. Pfaller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin R. Pfaller more than expected).
Fields of papers citing papers by Martin R. Pfaller
This network shows the impact of papers produced by Martin R. Pfaller. 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 Martin R. Pfaller. The network helps show where Martin R. Pfaller may publish in the future.
Co-authorship network of co-authors of Martin R. Pfaller
This figure shows the co-authorship network connecting the top 25 collaborators of Martin R. Pfaller. A scholar is included among the top collaborators of Martin R. Pfaller 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 Martin R. Pfaller. Martin R. Pfaller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 5 | |
| 10 | 19 | |
| 11 | 45 | |
| 12 | 30 | |
| 13 | 18 | |
| 14 | 11 | |
| 15 | 61 | |
| 16 | 23 | |
| 17 | 17 | |
| 18 | 14 | |
| 19 | 6 | |
| 20 | 17 |
About Martin R. Pfaller
Martin R. Pfaller is a scholar working on Cardiology and Cardiovascular Medicine, Numerical Analysis and Fluid Flow and Transfer Processes, having authored 23 papers that have together received 372 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (12 papers), Elasticity and Material Modeling (9 papers) and Model Reduction and Neural Networks (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (176 citations), Statistical and Nonlinear Physics (55 citations) and Biomedical Engineering (113 citations). Martin R. Pfaller has collaborated with scholars based in United States, Germany and Chile. Frequent co-authors include Alison L. Marsden, Wolfgang A. Wall, Erica L. Schwarz, Mona Eskandari, Ellen Kuhl, Cristóbal Bertoglio, Jonathan Pham, Weiguang Yang, Nathan M. Wilson and David Parker. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, IEEE Transactions on Biomedical Engineering and Materials.
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.