Daniel R. Einstein

61 papers receiving 1.5k citations

Peers

Daniel R. Einstein
Comparison fields: 5 of 120
  • Cardiology and Cardiovascular Medicine 613
  • Computer Graphics and Computer-Aided Design 61
  • Pulmonary and Respiratory Medicine 450
  • Chemical Health and Safety 9
  • Biomedical Engineering 519
Replace Mark Jermy with:
Mark Jermy New Zealand
Jean Hertzberg United States
Alberto Gambaruto United Kingdom
Michelle Noga Canada
Weiguang Yang United States
Raoul van Loon United Kingdom
Minliang Liu China
Matthew R. Myers United States
Nicolas Buchmann Australia
Nay Aung United Kingdom
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Countries citing papers authored by Daniel R. Einstein

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Einstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Einstein. 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 Daniel R. Einstein. The network helps show where Daniel R. Einstein may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel R. Einstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel R. Einstein Line = papers co-authored together Daniel R. Einstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012139
2 2007120
3 200588
4 200973
5
A coupled fluid-structure finite element model of the aortic valve and root.
200373
6 200959
7 201554
8 201554
9
Non-linear fluid-coupled computational model of the mitral valve.
200552
10 200538
11 200336
12 200435
13 201235
14 201634
15
Biaxial mechanical properties of porcine ascending aortic wall tissue.
200233
16 200633
17 201232
18 201231
19 200930
20 201630

About Daniel R. Einstein

Daniel R. Einstein is a scholar working on Biomedical Engineering, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Surgery and Computational Mechanics, having authored 62 papers that have together received 1.6k indexed citations. Recurring topics across this work include Elasticity and Material Modeling (15 papers), Inhalation and Respiratory Drug Delivery (13 papers), Cardiac Valve Diseases and Treatments (12 papers), Computer Graphics and Visualization Techniques (7 papers), Cardiovascular Function and Risk Factors (7 papers), 3D Shape Modeling and Analysis (6 papers), Computational Geometry and Mesh Generation (5 papers) and Coronary Interventions and Diagnostics (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (613 citations), Computer Graphics and Computer-Aided Design (61 citations), Pulmonary and Respiratory Medicine (450 citations), Chemical Health and Safety (9 citations) and Biomedical Engineering (519 citations). Daniel R. Einstein has collaborated with scholars based in United States, New Zealand and Russia. Frequent co-authors include Richard P. Cochran, Karyn S. Kunzelman, Andrew P. Kuprat, Alan D. Freed, Mark A. Nicosia, James P. Carson, Richard Corley, Richard E. Jacob, Senthil Kabilan and Ivan Veselý. Their work appears in journals such as Inhalation Toxicology, Biomechanics and Modeling in Mechanobiology, Annals of Biomedical Engineering, International Journal for Numerical Methods in Biomedical Engineering and Journal of Computational Physics.

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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