Frederick Warner
- Biophysics top 5%
- Structural Biology top 10%
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- Blood Pressure and Hypertension Studies 3
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- Health Systems, Economic Evaluations, Quality of Life 3
- Healthcare Policy and Management 2
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- Health disparities and outcomes 2
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- COVID-19 diagnosis using AI 2
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- Hormonal Regulation and Hypertension 2
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- SARS-CoV-2 and COVID-19 Research 1
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- Neonatal and fetal brain pathology 1
- Co-authors
- Mauro MaggioniRonald R. CoifmanStéphane LafonSteven W. ZuckerBoaz NadlerMatthew L. CostaXavier L GriffinAndreas Coppi
- Journals
- JAMA Network Open (2 papers)Proceedings of the National Academy of Sciences (2 papers)PLoS Medicine (1 paper)
- Partner nations
- United StatesBrazilUnited Kingdom
In The Last Decade
Frederick Warner
18 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Biophysics 93
- Computer Vision and Pattern Recognition 289
- Computational Mathematics 8
- Structural Biology 17
- Computer Graphics and Computer-Aided Design 40
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2024 | 10 | |
| 3 | 2022 | 11 | |
| 4 | 2022 | 8 | |
| 5 | 2020 | 9 | |
| 6 | 2019 | 17 | |
| 7 | 2019 | 4 | |
| 8 | 2018 | 0 | |
| 9 | 2017 | 11 | |
| 10 | 2017 | 10 | |
| 11 | 2017 | 12 | |
| 12 | 2008 | 54 | |
| 13 | 2006 | 2 | |
| 14 | 2006 | 21 | |
| 15 | 2006 | 12 | |
| 16 | 2005 | 137 | |
| 17 | Geometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion mapsbreakdown → | 2005 | 1027 |
| 18 | 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 |
| 19 | 1995 | 2 |
About Frederick Warner
Frederick Warner is a scholar working on Family Practice, Health Information Management, Biophysics, Health and Signal Processing, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Health disparities and outcomes (2 papers), Healthcare Policy and Management (2 papers), COVID-19 diagnosis using AI (2 papers), Hormonal Regulation and Hypertension (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and Neonatal and fetal brain pathology (1 paper). The work is most often cited by research in Biophysics (93 citations), Computer Vision and Pattern Recognition (289 citations), Computational Mathematics (8 citations), Structural Biology (17 citations) and Computer Graphics and Computer-Aided Design (40 citations). Frederick Warner has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Mauro Maggioni, Ronald R. Coifman, Stéphane Lafon, Steven W. Zucker, Boaz Nadler, Matthew L. Costa, Xavier L Griffin, Andreas Coppi, Harlan M. Krumholz and Gustave L. Davis. Their work appears in journals such as JAMA Network Open, Proceedings of the National Academy of Sciences, PLoS Medicine, BMJ Open and Injury.
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.