Martin R. Pfaller

54 total papers · 593 total citations
23 papers, 356 citations indexed

About

Martin R. Pfaller is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Surgery. According to data from OpenAlex, Martin R. Pfaller has authored 23 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cardiology and Cardiovascular Medicine, 10 papers in Biomedical Engineering and 5 papers in Surgery. Recurrent topics in Martin R. Pfaller's work include Cardiovascular Function and Risk Factors (12 papers), Elasticity and Material Modeling (9 papers) and Model Reduction and Neural Networks (4 papers). Martin R. Pfaller is often cited by papers focused on Cardiovascular Function and Risk Factors (12 papers), Elasticity and Material Modeling (9 papers) and Model Reduction and Neural Networks (4 papers). Martin R. Pfaller collaborates with scholars based in United States, Germany and Netherlands. Martin R. Pfaller's co-authors include Alison L. Marsden, Wolfgang A. Wall, Ellen Kuhl, Mona Eskandari, Erica L. Schwarz, Cristóbal Bertoglio, Jonathan Pham, David Parker, Nathan M. Wilson and Weiguang Yang and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, IEEE Transactions on Biomedical Engineering and Materials.

In The Last Decade

Martin R. Pfaller

21 papers receiving 346 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Martin R. Pfaller 172 104 89 60 50 23 356
Bruno V. Rego 235 1.4× 100 1.0× 138 1.6× 63 1.1× 39 0.8× 22 387
Hitomi Anzai 113 0.7× 73 0.7× 105 1.2× 132 2.2× 33 0.7× 46 396
Youjun Liu 135 0.8× 46 0.4× 108 1.2× 38 0.6× 34 0.7× 35 314
David S. Li 214 1.2× 224 2.2× 110 1.2× 72 1.2× 36 0.7× 20 391
Melissa C. Brindise 81 0.5× 52 0.5× 61 0.7× 81 1.4× 16 0.3× 26 293
P.V. Lawford 62 0.4× 100 1.0× 154 1.7× 38 0.6× 6 0.1× 19 355
S. Roedler 142 0.8× 66 0.6× 89 1.0× 37 0.6× 7 0.1× 15 344
Gonzalo D. Maso Talou 164 1.0× 73 0.7× 151 1.7× 59 1.0× 13 0.3× 36 338
Alberto Zingaro 237 1.4× 85 0.8× 46 0.5× 17 0.3× 22 0.4× 14 328
Yi Wu 222 1.3× 177 1.7× 112 1.3× 24 0.4× 12 0.2× 23 367

Countries citing papers authored by Martin R. Pfaller

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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