Christian Etmann
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Health Informatics top 0.5%
- Molecular Biology
- Biomedical Engineering
- Co-authors
- Carola‐Bibiane SchönliebJames H.F. RuddEffrossyni Gkrania‐KlotsasDerek DriggsStephan UrsprungEvis SalaJonathan Weir‐McCallMichael Yeung
- Topics
- Radiomics and Machine Learning in Medical Imaging (2 papers)COVID-19 diagnosis using AI (2 papers)Artificial Intelligence in Healthcare and Education (2 papers)
- Journals
- BioinformaticsMedical PhysicsEurope PMC (PubMed Central)
- Partner nations
- United KingdomGermanySwitzerland
In The Last Decade
Christian Etmann
6 papers receiving 686 citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Radiology, Nuclear Medicine and Imaging 385
- Artificial Intelligence 273
- Health Informatics 206
- Molecular Biology 96
- Biomedical Engineering 82
Countries citing papers authored by Christian Etmann
This map shows the geographic impact of Christian Etmann'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 Christian Etmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Etmann more than expected).
Fields of papers citing papers by Christian Etmann
This network shows the impact of papers produced by Christian Etmann. 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 Christian Etmann. The network helps show where Christian Etmann may publish in the future.
Co-authorship network of co-authors of Christian Etmann
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Etmann. A scholar is included among the top collaborators of Christian Etmann 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 Christian Etmann. Christian Etmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review | 10 |
| 4 | Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scansbreakdown → | 573 |
| 5 | 12 | |
| 6 | 12 | |
| 7 | 91 |
About Christian Etmann
Christian Etmann is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 7 papers that have together received 703 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), COVID-19 diagnosis using AI (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Health Informatics (206 citations), Radiology, Nuclear Medicine and Imaging (385 citations) and Artificial Intelligence (273 citations). Christian Etmann has collaborated with scholars based in United Kingdom, Germany and Switzerland. Frequent co-authors include Carola‐Bibiane Schönlieb, James H.F. Rudd, Effrossyni Gkrania‐Klotsas, Derek Driggs, Stephan Ursprung, Evis Sala, Jonathan Weir‐McCall, Michael Yeung, Julian Gilbey and Michael Roberts. Their work appears in journals such as Bioinformatics, Medical Physics and Europe PMC (PubMed Central).
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.