Raphael Meier
Impact in
- Neurology top 0.05%
- Brain Tumor Detection and Classification
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
Papers in
- Neurology 22
- Brain Tumor Detection and Classification 22
-
- Acute Ischemic Stroke Management 6
- Co-authors
- Roland Wiest (31 shared papers)Mauricio Reyes (24 shared papers)Carlos A. Silva (6 shared papers)Sérgio Pereira (6 shared papers)Richard McKinley (8 shared papers)Victor Alves (4 shared papers)Johannes Slotboom (9 shared papers)Fried-Michael Dahlweid (1 shared paper)
- Journals
- Scientific Reports (3 papers)Frontiers in Neurology (2 papers)Medical Image Analysis (2 papers)Radiology Artificial Intelligence (2 papers)Lecture notes in computer science (12 papers)
- Partner nations
- SwitzerlandUnited StatesPortugal
In The Last Decade
Raphael Meier
41 papers receiving 6.5k citations
Raphael Meier's Hit Papers
Peers
Comparison fields: 5 of 76
- Neurology 2.8k
- Health Informatics 146
- Computer Vision and Pattern Recognition 1.4k
- Radiology, Nuclear Medicine and Imaging 500
- Artificial Intelligence 531
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 42 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 | 4968 |
| 2 | On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities Hit paper breakdown → | 2020 | 340 |
| 3 | 2019 | 126 | |
| 4 | 2018 | 120 | |
| 5 | 2017 | 93 | |
| 6 | 2016 | 92 | |
| 7 | 2015 | 80 | |
| 8 | 2018 | 78 | |
| 9 | 2018 | 73 | |
| 10 | A Hybrid Model for Multimodal Brain Tumor Segmentation | 2013 | 59 |
| 11 | 2020 | 57 | |
| 12 | 2020 | 56 | |
| 13 | 2018 | 47 | |
| 14 | 2022 | 41 | |
| 15 | 2022 | 38 | |
| 16 | 2014 | 37 | |
| 17 | 2014 | 35 | |
| 18 | 2017 | 35 | |
| 19 | 2020 | 31 | |
| 20 | 2018 | 28 |
About Raphael Meier
Raphael Meier is a scholar working on Neurology, Epidemiology, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Oral Surgery, having authored 42 papers that have together received 6.7k indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (22 papers), Acute Ischemic Stroke Management (6 papers), Advanced MRI Techniques and Applications (3 papers), Explainable Artificial Intelligence (XAI) (3 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Dental Radiography and Imaging (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Neurology (2.8k citations), Health Informatics (146 citations), Computer Vision and Pattern Recognition (1.4k citations), Radiology, Nuclear Medicine and Imaging (500 citations) and Artificial Intelligence (531 citations). Raphael Meier has collaborated with scholars based in Switzerland, United States and Portugal. Frequent co-authors include Roland Wiest, Mauricio Reyes, Carlos A. Silva, Sérgio Pereira, Richard McKinley, Victor Alves, Johannes Slotboom, Fried-Michael Dahlweid, Hendrik von Tengg‐Kobligk and Ronald M. Summers. Their work appears in journals such as Scientific Reports, Frontiers in Neurology, Medical Image Analysis, Radiology Artificial Intelligence 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.