Corey Eber
Impact in
- Health Informatics top 2%
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Pleural and Pulmonary Diseases 5
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 4
- Pneumothorax, Barotrauma, Emphysema 4
- Medical Imaging and Pathology Studies 3
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- COVID-19 diagnosis using AI 6
- Radiology practices and education 3
- Radiomics and Machine Learning in Medical Imaging 3
- Co-authors
- Adam Jacobi (16 shared papers)Adam Bernheim (8 shared papers)Michael Chung (8 shared papers)Mark Finkelstein (7 shared papers)Samuel Z. Maron (5 shared papers)Mario A. Cedillo (6 shared papers)Sayan Manna (7 shared papers)Danielle Toussie (8 shared papers)
- Journals
- Emergency Radiology (2 papers)Radiology Artificial Intelligence (1 paper)Journal of Digital Imaging (1 paper)Radiology Cardiothoracic Imaging (1 paper)The Lancet Respiratory Medicine (1 paper)
- Partner nations
- United StatesIsraelSouth Korea
In The Last Decade
Corey Eber
27 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Health Informatics 71
- Radiology, Nuclear Medicine and Imaging 647
- Critical Care and Intensive Care Medicine 140
- Infectious Diseases 318
- Pulmonary and Respiratory Medicine 362
Countries citing papers authored by Corey Eber
This map shows the geographic impact of Corey Eber'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 Corey Eber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Corey Eber more than expected).
Fields of papers citing papers by Corey Eber
This network shows the impact of papers produced by Corey Eber. 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 Corey Eber. The network helps show where Corey Eber may publish in the future.
Co-authors
The 25 scholars most cited alongside Corey Eber, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Portable chest X-ray in coronavirus disease-19 (COVID-19): A pictorial review Hit paper breakdown → | 2020 | 387 |
| 2 | 2020 | 230 | |
| 3 | 2003 | 135 | |
| 4 | 2016 | 76 | |
| 5 | 2020 | 52 | |
| 6 | 2020 | 43 | |
| 7 | 2020 | 41 | |
| 8 | 1993 | 33 | |
| 9 | 2015 | 30 | |
| 10 | 1997 | 25 | |
| 11 | 2017 | 24 | |
| 12 | 2014 | 23 | |
| 13 | 1994 | 19 | |
| 14 | 2021 | 18 | |
| 15 | 2013 | 14 | |
| 16 | 2015 | 9 | |
| 17 | 2020 | 9 | |
| 18 | 2002 | 8 | |
| 19 | 2020 | 8 | |
| 20 | 2002 | 6 |
About Corey Eber
Corey Eber is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Critical Care and Intensive Care Medicine and Cardiology and Cardiovascular Medicine, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (6 papers), Pleural and Pulmonary Diseases (5 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Pneumothorax, Barotrauma, Emphysema (4 papers), Ultrasound in Clinical Applications (4 papers), Medical Imaging and Pathology Studies (3 papers), Radiology practices and education (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Health Informatics (71 citations), Radiology, Nuclear Medicine and Imaging (647 citations), Critical Care and Intensive Care Medicine (140 citations), Infectious Diseases (318 citations) and Pulmonary and Respiratory Medicine (362 citations). Corey Eber has collaborated with scholars based in United States, Israel and South Korea. Frequent co-authors include Adam Jacobi, Adam Bernheim, Michael Chung, Mark Finkelstein, Samuel Z. Maron, Mario A. Cedillo, Sayan Manna, Danielle Toussie, Nicholas Voutsinas and Yogesh Sean Gupta. Their work appears in journals such as Emergency Radiology, Radiology Artificial Intelligence, Journal of Digital Imaging, Radiology Cardiothoracic Imaging and The Lancet Respiratory 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.