Mark Levenson
- Cardiology and Cardiovascular Medicine top 5%
- Computer Vision and Pattern Recognition top 5%
- Internal Medicine top 2%
- Economics and Econometrics top 5%
- Statistics and Probability top 2%
- Co-authors
- Marsha E. ReichmanDavid J. GrahamMonika HoustounChris WorrallThomas MaCurdyMary SouthworthJeffrey A. KelmanTarek A. Hammad
- Topics
- Statistical Methods in Clinical Trials (20 papers)Health Systems, Economic Evaluations, Quality of Life (17 papers)Scientific Measurement and Uncertainty Evaluation (8 papers)
- Partner nations
- United StatesGermanyThailand
In The Last Decade
Mark Levenson
61 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Cardiology and Cardiovascular Medicine 596
- Computer Vision and Pattern Recognition 267
- Internal Medicine 248
- Economics and Econometrics 238
- Statistics and Probability 217
Countries citing papers authored by Mark Levenson
This map shows the geographic impact of Mark Levenson'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 Mark Levenson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Levenson more than expected).
Fields of papers citing papers by Mark Levenson
This network shows the impact of papers produced by Mark Levenson. 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 Mark Levenson. The network helps show where Mark Levenson may publish in the future.
Co-authorship network of co-authors of Mark Levenson
This figure shows the co-authorship network connecting the top 25 collaborators of Mark Levenson. A scholar is included among the top collaborators of Mark Levenson 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 Mark Levenson. Mark Levenson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 13 | |
| 4 | 80 | |
| 5 | 17 | |
| 6 | 15 | |
| 7 | 4 | |
| 8 | Cardiovascular, Bleeding, and Mortality Risks in Elderly Medicare Patients Treated With Dabigatran or Warfarin for Nonvalvular Atrial Fibrillationbreakdown → | 498 |
| 9 | 60 | |
| 10 | 75 | |
| 11 | 400 | |
| 12 | 8 | |
| 13 | 15 | |
| 14 | 18 | |
| 15 | 28 | |
| 16 | 98 | |
| 17 | A Constrained Monte Carlo Simulation Method for the Calculation of CMM Measurement Uncertainty | NIST | 2 |
| 18 | 17 | |
| 19 | The Calculation of CMM Measurement Uncertainty via The Method of Simulation by Constraints | NIST | 13 |
| 20 | 12 |
About Mark Levenson
Mark Levenson is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Toxicology, having authored 61 papers that have together received 2.6k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (20 papers), Health Systems, Economic Evaluations, Quality of Life (17 papers) and Scientific Measurement and Uncertainty Evaluation (8 papers). The work is most often cited by research in Internal Medicine (248 citations), Statistics and Probability (217 citations) and Cardiology and Cardiovascular Medicine (596 citations). Mark Levenson has collaborated with scholars based in United States, Germany and Thailand. Frequent co-authors include Marsha E. Reichman, David J. Graham, Monika Houstoun, Chris Worrall, Thomas MaCurdy, Mary Southworth, Jeffrey A. Kelman, Tarek A. Hammad, Michael Wernecke and Ting-Chang Sheu. Their work appears in journals such as New England Journal of Medicine, JAMA and Circulation.
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.