Roger Engelmann
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Medical Imaging Techniques and Applications
- Radiology practices and education
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- Lung Cancer Diagnosis and Treatment
Papers in
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- Radiomics and Machine Learning in Medical Imaging 16
- COVID-19 diagnosis using AI 8
- Radiology practices and education 5
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- Lung Cancer Diagnosis and Treatment 20
- Co-authors
- Heber MacMahon (31 shared papers)Kunio Doi (17 shared papers)Junji Shiraishi (15 shared papers)Feng Li (14 shared papers)Hiroyuki Abé (11 shared papers)Takayuki Ishida (4 shared papers)Qiang Li (10 shared papers)Charles E. Metz (4 shared papers)
- Journals
- Radiology (7 papers)Academic Radiology (7 papers)Medical Physics (6 papers)Journal of Digital Imaging (5 papers)American Journal of Roentgenology (3 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Roger Engelmann
51 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 93
- Radiology, Nuclear Medicine and Imaging 778
- Pulmonary and Respiratory Medicine 696
- Health Informatics 14
- Artificial Intelligence 299
- Psychiatry and Mental health 115
Countries citing papers authored by Roger Engelmann
This map shows the geographic impact of Roger Engelmann'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 Roger Engelmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roger Engelmann more than expected).
Fields of papers citing papers by Roger Engelmann
This network shows the impact of papers produced by Roger Engelmann. 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 Roger Engelmann. The network helps show where Roger Engelmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Roger Engelmann, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 133 | |
| 2 | 2000 | 113 | |
| 3 | 1999 | 99 | |
| 4 | 2005 | 88 | |
| 5 | 2016 | 80 | |
| 6 | 2004 | 65 | |
| 7 | 2003 | 61 | |
| 8 | 2007 | 58 | |
| 9 | 2003 | 58 | |
| 10 | 2006 | 56 | |
| 11 | 1999 | 53 | |
| 12 | 2008 | 51 | |
| 13 | 2011 | 47 | |
| 14 | 2008 | 47 | |
| 15 | 2005 | 45 | |
| 16 | 2006 | 40 | |
| 17 | 2007 | 40 | |
| 18 | 2008 | 40 | |
| 19 | 2011 | 37 | |
| 20 | 2006 | 29 |
About Roger Engelmann
Roger Engelmann is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence, Biomedical Engineering and History, having authored 54 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (20 papers), Radiomics and Machine Learning in Medical Imaging (16 papers), AI in cancer detection (9 papers), COVID-19 diagnosis using AI (8 papers), Advanced X-ray and CT Imaging (7 papers), Radiology practices and education (5 papers), German History and Society (5 papers) and European history and politics (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (778 citations), Pulmonary and Respiratory Medicine (696 citations), Health Informatics (14 citations), Artificial Intelligence (299 citations) and Psychiatry and Mental health (115 citations). Roger Engelmann has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Heber MacMahon, Kunio Doi, Junji Shiraishi, Feng Li, Hiroyuki Abé, Takayuki Ishida, Qiang Li, Charles E. Metz, Samuel G. Armato and Kenji Suzuki. Their work appears in journals such as Radiology, Academic Radiology, Medical Physics, Journal of Digital Imaging and American Journal of Roentgenology.
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.