Peter D. Filev
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
-
- Ultrasound in Clinical Applications
Papers in
-
- COVID-19 diagnosis using AI 5
- Cardiac Imaging and Diagnostics 3
- Radiomics and Machine Learning in Medical Imaging 3
-
- AI in cancer detection 3
- Co-authors
- Seth J. Kligerman (3 shared papers)Travis S. Henry (3 shared papers)Constantine A. Raptis (3 shared papers)Michael D. Hope (2 shared papers)Jean J. Jeudy (2 shared papers)Andrew J. Bierhals (2 shared papers)Amar B. Shah (2 shared papers)Mark Morris Hammer (2 shared papers)
- Journals
- Medical Physics (2 papers)Journal of Cardiovascular Magnetic Resonance (1 paper)American Journal of Roentgenology (1 paper)Cell (1 paper)Journal of Imaging Informatics in Medicine (1 paper)
- Partner nations
- United StatesItalyMexico
In The Last Decade
Peter D. Filev
16 papers receiving 510 citations
Peers
Comparison fields: 5 of 70
- Infectious Diseases 182
- Critical Care and Intensive Care Medicine 41
- Radiology, Nuclear Medicine and Imaging 169
- Neurology 52
- Health Informatics 4
Countries citing papers authored by Peter D. Filev
This map shows the geographic impact of Peter D. Filev'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 Peter D. Filev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter D. Filev more than expected).
Fields of papers citing papers by Peter D. Filev
This network shows the impact of papers produced by Peter D. Filev. 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 Peter D. Filev. The network helps show where Peter D. Filev may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter D. Filev, 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 | 2020 | 167 | |
| 2 | 2020 | 152 | |
| 3 | 2017 | 59 | |
| 4 | 2005 | 36 | |
| 5 | 2021 | 35 | |
| 6 | 2015 | 19 | |
| 7 | 2020 | 13 | |
| 8 | 2008 | 11 | |
| 9 | 2020 | 10 | |
| 10 | 2008 | 5 | |
| 11 | 2022 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2020 | 3 | |
| 14 | 2019 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2023 | 0 | |
| 18 | 2024 | 0 |
About Peter D. Filev
Peter D. Filev is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Oncology, Pulmonary and Respiratory Medicine and Health Informatics, having authored 18 papers that have together received 522 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (5 papers), Cardiac Imaging and Diagnostics (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers), COVID-19 Clinical Research Studies (2 papers), Image Retrieval and Classification Techniques (2 papers), Colorectal Cancer Screening and Detection (2 papers) and Advanced X-ray and CT Imaging (2 papers). The work is most often cited by research in Infectious Diseases (182 citations), Critical Care and Intensive Care Medicine (41 citations), Radiology, Nuclear Medicine and Imaging (169 citations), Neurology (52 citations) and Health Informatics (4 citations). Peter D. Filev has collaborated with scholars based in United States, Italy and Mexico. Frequent co-authors include Seth J. Kligerman, Travis S. Henry, Constantine A. Raptis, Michael D. Hope, Jean J. Jeudy, Andrew J. Bierhals, Amar B. Shah, Mark Morris Hammer, Sanjeev Bhalla and Ryan G. Short. Their work appears in journals such as Medical Physics, Journal of Cardiovascular Magnetic Resonance, American Journal of Roentgenology, Cell and Journal of Imaging Informatics in Medicine.
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.