Armin Meier
Impact in
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- Radiomics and Machine Learning in Medical Imaging
Papers in
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- AI in cancer detection 4
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- Gastric Cancer Management and Outcomes 2
- Co-authors
- Johannes Söding (2 shared papers)Günter Schmidt (6 shared papers)Katharina Nekolla (5 shared papers)Nicolas Brieu (4 shared papers)Nathalie Harder (2 shared papers)Gerardo Botti (1 shared paper)Mariaelena Capone (1 shared paper)Ralf Huss (3 shared papers)
- Journals
- Scientific Reports (2 papers)Cancer Research (2 papers)IEEE Transactions on Medical Imaging (1 paper)PLoS Computational Biology (1 paper)Bioinformatics (1 paper)
- Partner nations
- United KingdomGermanyJapan
In The Last Decade
Armin Meier
11 papers receiving 220 citations
Peers
Comparison fields: 5 of 58
- Health Informatics 7
- Radiology, Nuclear Medicine and Imaging 79
- Oncology 68
- Artificial Intelligence 61
- Biophysics 10
Countries citing papers authored by Armin Meier
This map shows the geographic impact of Armin Meier'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 Armin Meier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Armin Meier more than expected).
Fields of papers citing papers by Armin Meier
This network shows the impact of papers produced by Armin Meier. 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 Armin Meier. The network helps show where Armin Meier may publish in the future.
Co-authors
The 25 scholars most cited alongside Armin Meier, 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 | 2015 | 91 | |
| 2 | 2019 | 43 | |
| 3 | 2020 | 26 | |
| 4 | 2021 | 22 | |
| 5 | 2024 | 16 | |
| 6 | 2014 | 11 | |
| 7 | 2018 | 9 | |
| 8 | Breast cancer patient stratification using domain adaptation based lymphocyte detection in HER2 stained tissue sections | 2021 | 2 |
| 9 | 2018 | 1 | |
| 10 | [Localized colitis cystica profunda]. | 1982 | 1 |
| 11 | 2017 | 1 | |
| 12 | 2025 | 0 |
About Armin Meier
Armin Meier is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 12 papers that have together received 223 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Cell Image Analysis Techniques (2 papers), Cancer Genomics and Diagnostics (2 papers), Protein Structure and Dynamics (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Gastric Cancer Management and Outcomes (2 papers) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Health Informatics (7 citations), Radiology, Nuclear Medicine and Imaging (79 citations), Oncology (68 citations), Artificial Intelligence (61 citations) and Biophysics (10 citations). Armin Meier has collaborated with scholars based in United Kingdom, Germany and Japan. Frequent co-authors include Johannes Söding, Günter Schmidt, Katharina Nekolla, Nicolas Brieu, Nathalie Harder, Gerardo Botti, Mariaelena Capone, Ralf Huss, Paolo A. Ascierto and Ralf Schönmeyer. Their work appears in journals such as Scientific Reports, Cancer Research, IEEE Transactions on Medical Imaging, PLoS Computational Biology and Bioinformatics.
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.