Frederick Warner
Impact in
- Biophysics top 5%
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- Face and Expression Recognition
Papers in
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- Blood Pressure and Hypertension Studies 3
- Co-authors
- Ronald R. Coifman (7 shared papers)Mauro Maggioni (6 shared papers)Steven W. Zucker (3 shared papers)Stéphane Lafon (3 shared papers)Boaz Nadler (2 shared papers)Xavier L Griffin (1 shared paper)Matthew L. Costa (1 shared paper)Andreas Coppi (8 shared papers)
- Journals
- The American Journal of Medicine (3 papers)JAMA Network Open (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of the American College of Cardiology (1 paper)Applied and Computational Harmonic Analysis (1 paper)
- Partner nations
- United StatesBrazilUnited Kingdom
In The Last Decade
Frederick Warner
20 papers receiving 1.4k citations
Frederick Warner's Hit Papers
Peers
Comparison fields: 5 of 151
- Biophysics 100
- Computer Vision and Pattern Recognition 348
- Computational Mathematics 8
- Structural Biology 17
- Statistical and Nonlinear Physics 149
Countries citing papers authored by Frederick Warner
This map shows the geographic impact of Frederick Warner'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 Frederick Warner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frederick Warner more than expected).
Fields of papers citing papers by Frederick Warner
This network shows the impact of papers produced by Frederick Warner. 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 Frederick Warner. The network helps show where Frederick Warner may publish in the future.
Co-authors
The 25 scholars most cited alongside Frederick Warner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Geometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps Hit paper breakdown → | 2005 | 1143 |
| 2 | 2005 | 145 | |
| 3 | 2008 | 57 | |
| 4 | 2006 | 23 | |
| 5 | 2019 | 17 | |
| 6 | 2006 | 15 | |
| 7 | 2017 | 13 | |
| 8 | 2022 | 12 | |
| 9 | 2017 | 11 | |
| 10 | 2017 | 11 | |
| 11 | 2024 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2020 | 9 | |
| 14 | 2024 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2019 | 4 | |
| 17 | 2006 | 3 | |
| 18 | 1995 | 3 | |
| 19 | Algorithms from Signal and Data Processing Applied to Hyperspectral Analysis: Discriminating Normal and Malignant Microarray Colon Tissue Sections Using a Novel Digital Mirror Device System | 2004 | 2 |
| 20 | 2018 | 1 |
About Frederick Warner
Frederick Warner is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Health and Neurology, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (3 papers), Long-Term Effects of COVID-19 (2 papers), Health disparities and outcomes (2 papers), Digital Imaging for Blood Diseases (1 paper), Composite Material Mechanics (1 paper), Machine Learning in Healthcare (1 paper), Photoacoustic and Ultrasonic Imaging (1 paper) and Blind Source Separation Techniques (1 paper). The work is most often cited by research in Biophysics (100 citations), Computer Vision and Pattern Recognition (348 citations), Computational Mathematics (8 citations), Structural Biology (17 citations) and Statistical and Nonlinear Physics (149 citations). Frederick Warner has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Ronald R. Coifman, Mauro Maggioni, Steven W. Zucker, Stéphane Lafon, Boaz Nadler, Xavier L Griffin, Matthew L. Costa, Andreas Coppi, Harlan M. Krumholz and Gustave L. Davis. Their work appears in journals such as The American Journal of Medicine, JAMA Network Open, Proceedings of the National Academy of Sciences, Journal of the American College of Cardiology and Applied and Computational Harmonic Analysis.
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.