Anna Jerebko
Impact in
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- Mobile Crowdsensing and Crowdsourcing
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Medical Imaging Techniques and Applications 11
- Radiomics and Machine Learning in Medical Imaging 10
- Oncology 16
- Colorectal Cancer Screening and Detection 16
- Co-authors
- Ronald M. Summers (12 shared papers)James D. Malley (11 shared papers)Marek Franaszek (10 shared papers)Luca Bogoni (6 shared papers)C. Daniel Johnson (2 shared papers)Shipeng Yu (1 shared paper)Linda Moy (1 shared paper)Toshiro Kubota (1 shared paper)
- Journals
- Medical Physics (2 papers)Radiology (2 papers)Academic Radiology (2 papers)British Journal of Radiology (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Anna Jerebko
34 papers receiving 893 citations
Peers
Comparison fields: 5 of 91
- Computer Science Applications 108
- Radiology, Nuclear Medicine and Imaging 463
- Oncology 350
- Artificial Intelligence 397
- Pulmonary and Respiratory Medicine 308
Countries citing papers authored by Anna Jerebko
This map shows the geographic impact of Anna Jerebko'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 Anna Jerebko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Jerebko more than expected).
Fields of papers citing papers by Anna Jerebko
This network shows the impact of papers produced by Anna Jerebko. 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 Anna Jerebko. The network helps show where Anna Jerebko may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Jerebko, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 232 | |
| 2 | 2010 | 143 | |
| 3 | 2002 | 106 | |
| 4 | 2007 | 63 | |
| 5 | 2003 | 61 | |
| 6 | 2005 | 56 | |
| 7 | 2002 | 54 | |
| 8 | 2005 | 45 | |
| 9 | 2006 | 29 | |
| 10 | 2003 | 21 | |
| 11 | 2013 | 18 | |
| 12 | 2016 | 17 | |
| 13 | 2007 | 15 | |
| 14 | 2003 | 14 | |
| 15 | 2003 | 8 | |
| 16 | 2020 | 7 | |
| 17 | 2012 | 6 | |
| 18 | 2010 | 5 | |
| 19 | 2017 | 4 | |
| 20 | 2013 | 4 |
About Anna Jerebko
Anna Jerebko is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Pulmonary and Respiratory Medicine, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 34 papers that have together received 932 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (16 papers), AI in cancer detection (12 papers), Medical Imaging Techniques and Applications (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Digital Radiography and Breast Imaging (8 papers), Image Retrieval and Classification Techniques (7 papers), Advanced X-ray and CT Imaging (5 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Computer Science Applications (108 citations), Radiology, Nuclear Medicine and Imaging (463 citations), Oncology (350 citations), Artificial Intelligence (397 citations) and Pulmonary and Respiratory Medicine (308 citations). Anna Jerebko has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Ronald M. Summers, James D. Malley, Marek Franaszek, Luca Bogoni, C. Daniel Johnson, Shipeng Yu, Linda Moy, Toshiro Kubota, Marcos Salganicoff and Charles Florin. Their work appears in journals such as Medical Physics, Radiology, Academic Radiology, British Journal of Radiology and IEEE Journal of Biomedical and Health Informatics.
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.