Uwe Engelmann
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Public Health, Environmental and Occupational Health
- Co-authors
- Hans-Peter MeinzerRada HusseinHans‐Peter MeinzerG. WeisserM. WalzDieter OetzelChristian BøhnRolf Bendl
- Topics
- Digital Radiography and Breast Imaging (15 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)Medical Imaging Techniques and Applications (5 papers)
In The Last Decade
Uwe Engelmann
53 papers receiving 454 citations
Peers
Comparison fields: 5 of 78
- Radiology, Nuclear Medicine and Imaging 154
- Pulmonary and Respiratory Medicine 142
- Computer Vision and Pattern Recognition 127
- Artificial Intelligence 70
- Public Health, Environmental and Occupational Health 56
Countries citing papers authored by Uwe Engelmann
This map shows the geographic impact of Uwe 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 Uwe Engelmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uwe Engelmann more than expected).
Fields of papers citing papers by Uwe Engelmann
This network shows the impact of papers produced by Uwe 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 Uwe Engelmann. The network helps show where Uwe Engelmann may publish in the future.
Co-authorship network of co-authors of Uwe Engelmann
This figure shows the co-authorship network connecting the top 25 collaborators of Uwe Engelmann. A scholar is included among the top collaborators of Uwe Engelmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Uwe Engelmann. Uwe Engelmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 35 | |
| 4 | 11 | |
| 5 | 6 | |
| 6 | 17 | |
| 7 | 22 | |
| 8 | 4 | |
| 9 | 55 | |
| 10 | 25 | |
| 11 | 34 | |
| 12 | 5 | |
| 13 | 18 | |
| 14 | 3 | |
| 15 | 18 | |
| 16 | Anforderungen an ein Teleradiologiesystem. Erfahrungen aus dem MEDICUS-2-Feldtest | 2 |
| 17 | 24 | |
| 18 | 5 | |
| 19 | 5 | |
| 20 | 1 |
About Uwe Engelmann
Uwe Engelmann is a scholar working on Computer Graphics and Computer-Aided Design, Physical Therapy, Sports Therapy and Rehabilitation and Health Information Management, having authored 56 papers that have together received 481 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (15 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Medical Imaging Techniques and Applications (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (47 citations), Health Information Management (44 citations) and Health Informatics (9 citations). Uwe Engelmann has collaborated with scholars based in Germany, France and Sweden. Frequent co-authors include Hans-Peter Meinzer, Rada Hussein, Hans‐Peter Meinzer, G. Weisser, M. Walz, Dieter Oetzel, Christian Bøhn, Rolf Bendl, Kerstin A. Kessel and Stephanie E. Combs. Their work appears in journals such as Journal of Medical Internet Research, Radiographics and European Radiology.
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.