Eric A. Berns
Impact in
- Health Informatics top 2%
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Radiation Dose and Imaging
Papers in
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- AI in cancer detection 10
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- Digital Radiography and Breast Imaging 8
- Co-authors
- R. Edward Hendrick (7 shared papers)Gary Cutter (7 shared papers)Patricia A. Carney (6 shared papers)Joann G. Elmore (6 shared papers)Linn Abraham (6 shared papers)William E. Barlow (5 shared papers)Edward A. Sickles (4 shared papers)Stephen H. Taplin (5 shared papers)
- Journals
- American Journal of Roentgenology (4 papers)Medical Physics (3 papers)JNCI Journal of the National Cancer Institute (2 papers)Human Reproduction (2 papers)Radiologic Clinics of North America (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Eric A. Berns
15 papers receiving 934 citations
Peers
Comparison fields: 5 of 91
- Health Informatics 50
- Radiology, Nuclear Medicine and Imaging 421
- Artificial Intelligence 475
- Family Practice 31
- Oncology 353
Countries citing papers authored by Eric A. Berns
This map shows the geographic impact of Eric A. Berns'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 Eric A. Berns with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric A. Berns more than expected).
Fields of papers citing papers by Eric A. Berns
This network shows the impact of papers produced by Eric A. Berns. 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 Eric A. Berns. The network helps show where Eric A. Berns may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric A. Berns, 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 | 2007 | 419 | |
| 2 | 2010 | 139 | |
| 3 | 2008 | 75 | |
| 4 | 2002 | 67 | |
| 5 | 2006 | 58 | |
| 6 | 2007 | 38 | |
| 7 | 2003 | 32 | |
| 8 | 2005 | 31 | |
| 9 | 2011 | 30 | |
| 10 | 2010 | 24 | |
| 11 | 2009 | 22 | |
| 12 | 2007 | 20 | |
| 13 | 2005 | 17 | |
| 14 | 2000 | 6 | |
| 15 | 2011 | 2 | |
| 16 | 2012 | 0 |
About Eric A. Berns
Eric A. Berns is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging and Pediatrics, Perinatology and Child Health, having authored 16 papers that have together received 980 indexed citations. Recurring topics across this work include AI in cancer detection (10 papers), Global Cancer Incidence and Screening (8 papers), Digital Radiography and Breast Imaging (8 papers), Colorectal Cancer Screening and Detection (3 papers), Assisted Reproductive Technology and Twin Pregnancy (3 papers), Reproductive Health and Technologies (3 papers), Breast Cancer Treatment Studies (2 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Health Informatics (50 citations), Radiology, Nuclear Medicine and Imaging (421 citations), Artificial Intelligence (475 citations), Family Practice (31 citations) and Oncology (353 citations). Eric A. Berns has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include R. Edward Hendrick, Gary Cutter, Patricia A. Carney, Joann G. Elmore, Linn Abraham, William E. Barlow, Edward A. Sickles, Stephen H. Taplin, Joshua J. Fenton and Carl J. D’Orsi. Their work appears in journals such as American Journal of Roentgenology, Medical Physics, JNCI Journal of the National Cancer Institute, Human Reproduction and Radiologic Clinics of North America.
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.