Raphael Meier
Impact in
- Neurology top 0.1%
- Brain Tumor Detection and Classification
- Health Informatics top 0.5%
Papers in
- Co-authors
- Roland Wiest (30 shared papers)Mauricio Reyes (22 shared papers)Sérgio Pereira (6 shared papers)Carlos A. Silva (6 shared papers)Richard McKinley (8 shared papers)Victor Alves (4 shared papers)Hendrik von Tengg‐Kobligk (1 shared paper)Ronald M. Summers (1 shared paper)
- Journals
- Scientific Reports (3 papers)Radiology Artificial Intelligence (2 papers)Medical Image Analysis (2 papers)Frontiers in Neurology (2 papers)Lecture notes in computer science (12 papers)
- Partner nations
- SwitzerlandUnited StatesPortugal
In The Last Decade
Raphael Meier
47 papers receiving 6.3k citations
Raphael Meier's Hit Papers
Peers
Comparison fields: 5 of 148
- Neurology 3.2k
- Health Informatics 290
- Computer Vision and Pattern Recognition 3.5k
- Radiology, Nuclear Medicine and Imaging 2.0k
- Genetics 500
Countries citing papers authored by Raphael Meier
This map shows the geographic impact of Raphael 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 Raphael Meier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphael Meier more than expected).
Fields of papers citing papers by Raphael Meier
This network shows the impact of papers produced by Raphael 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 Raphael Meier. The network helps show where Raphael Meier may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphael 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
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) Hit paper breakdown → | 2014 | 4862 |
| 2 | 2020 | 332 | |
| 3 | 2019 | 123 | |
| 4 | 2018 | 116 | |
| 5 | 2017 | 93 | |
| 6 | 2016 | 90 | |
| 7 | 2015 | 80 | |
| 8 | 2018 | 76 | |
| 9 | A Hybrid Model for Multimodal Brain Tumor Segmentation | 2013 | 59 |
| 10 | 2020 | 56 | |
| 11 | 2020 | 56 | |
| 12 | 2018 | 46 | |
| 13 | 2022 | 40 | |
| 14 | 2014 | 37 | |
| 15 | 2022 | 37 | |
| 16 | 2017 | 34 | |
| 17 | 2020 | 29 | |
| 18 | 2018 | 29 | |
| 19 | [Experimental studies on the effects of the hypotension provoking hydrazinophthalazine derivatives apresoline and nepresol on blood circulation]. | 1953 | 27 |
| 20 | 2018 | 27 |
About Raphael Meier
Raphael Meier is a scholar working on Neurology, Genetics, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Epidemiology, having authored 48 papers that have together received 6.5k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (14 papers), Brain Tumor Detection and Classification (13 papers), Glioma Diagnosis and Treatment (12 papers), Advanced Neural Network Applications (12 papers), Acute Ischemic Stroke Management (7 papers), Medical Image Segmentation Techniques (6 papers), Medical Imaging Techniques and Applications (4 papers) and Advanced MRI Techniques and Applications (4 papers). The work is most often cited by research in Neurology (3.2k citations), Health Informatics (290 citations), Computer Vision and Pattern Recognition (3.5k citations), Radiology, Nuclear Medicine and Imaging (2.0k citations) and Genetics (500 citations). Raphael Meier has collaborated with scholars based in Switzerland, United States and Portugal. Frequent co-authors include Roland Wiest, Mauricio Reyes, Sérgio Pereira, Carlos A. Silva, Richard McKinley, Victor Alves, Hendrik von Tengg‐Kobligk, Ronald M. Summers, Fried-Michael Dahlweid and Stefan M. Bauer. Their work appears in journals such as Scientific Reports, Radiology Artificial Intelligence, Medical Image Analysis, Frontiers in Neurology and Lecture notes in computer science.
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.