Frederick J. Warner
Impact in
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- Model Reduction and Neural Networks
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- Topological and Geometric Data Analysis
Papers in
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- Medical Coding and Health Information 4
- Healthcare Quality and Management 2
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- COVID-19 Clinical Research Studies 2
- 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)Andreas C. Coppi (9 shared papers)Harlan M. Krumholz (11 shared papers)Shu‐Xia Li (4 shared papers)
- Journals
- Journal of the American College of Cardiology (2 papers)The American Journal of Medicine (2 papers)JAMA Network Open (2 papers)PLoS ONE (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesBrazilSpain
In The Last Decade
Frederick J. Warner
24 papers receiving 1.6k citations
Frederick J. Warner's Hit Papers
Peers
Comparison fields: 5 of 129
- Statistical and Nonlinear Physics 179
- Computational Theory and Mathematics 207
- Computer Vision and Pattern Recognition 277
- Computational Mathematics 5
- Cognitive Neuroscience 158
Countries citing papers authored by Frederick J. Warner
This map shows the geographic impact of Frederick J. 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 J. 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 J. Warner more than expected).
Fields of papers citing papers by Frederick J. Warner
This network shows the impact of papers produced by Frederick J. 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 J. Warner. The network helps show where Frederick J. Warner may publish in the future.
Co-authors
The 25 scholars most cited alongside Frederick J. 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 25 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 | 1227 |
| 2 | 2005 | 162 | |
| 3 | 2022 | 63 | |
| 4 | 2021 | 32 | |
| 5 | 2006 | 23 | |
| 6 | 2019 | 18 | |
| 7 | 2017 | 15 | |
| 8 | 2024 | 15 | |
| 9 | 2006 | 14 | |
| 10 | 2022 | 14 | |
| 11 | 2017 | 13 | |
| 12 | 2022 | 13 | |
| 13 | 2025 | 12 | |
| 14 | 2017 | 11 | |
| 15 | 2024 | 10 | |
| 16 | 2020 | 9 | |
| 17 | 2024 | 7 | |
| 18 | 2019 | 4 | |
| 19 | 1995 | 3 | |
| 20 | 2006 | 3 |
About Frederick J. Warner
Frederick J. Warner is a scholar working on Health Information Management, Infectious Diseases, Neurology, Applied Mathematics and Cardiology and Cardiovascular Medicine, having authored 25 papers that have together received 1.7k indexed citations. Recurring topics across this work include Medical Coding and Health Information (4 papers), Blood Pressure and Hypertension Studies (3 papers), Long-Term Effects of COVID-19 (3 papers), Topological and Geometric Data Analysis (2 papers), Healthcare Quality and Management (2 papers), Machine Learning in Healthcare (2 papers), Spectroscopy Techniques in Biomedical and Chemical Research (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (179 citations), Computational Theory and Mathematics (207 citations), Computer Vision and Pattern Recognition (277 citations), Computational Mathematics (5 citations) and Cognitive Neuroscience (158 citations). Frederick J. Warner has collaborated with scholars based in United States, Brazil and Spain. Frequent co-authors include Ronald R. Coifman, Mauro Maggioni, Steven W. Zucker, Stéphane Lafon, Boaz Nadler, Andreas C. Coppi, Harlan M. Krumholz, Shu‐Xia Li, Chenxi Huang and Gustave L. Davis. Their work appears in journals such as Journal of the American College of Cardiology, The American Journal of Medicine, JAMA Network Open, PLoS ONE and Proceedings of the National Academy of Sciences.
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.