Raphael Meier

8.4k citations
36 papers · 1.0k · h-index 16

Impact in

    • Artificial Intelligence in Healthcare and Education
  • Neurology top 5%
    • Brain Tumor Detection and Classification

Papers in

Raphael Meier

35 papers receiving 966 citations

Peers

Raphael Meier
Comparison fields: 5 of 124
  • Health Informatics 150
  • Neurology 241
  • Radiology, Nuclear Medicine and Imaging 455
  • Genetics 168
  • Computer Vision and Pattern Recognition 219
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Citations per field
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Citations per year

Countries citing papers authored by Raphael Meier

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Raphael Meier Line = papers co-authored together Raphael Meier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020283
2 201679
3 201779
4 201568
5 201868
6
A Hybrid Model for Multimodal Brain Tumor Segmentation
201354
7 202051
8 201433
9 202230
10 201730
11 202025
12 201825
13 201622
14
[Experimental studies on the effects of the hypotension provoking hydrazinophthalazine derivatives apresoline and nepresol on blood circulation].
195322
15 202017
16 201915
17 202012
18 201911
19 197011
20 20178

About Raphael Meier

Raphael Meier is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Epidemiology, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (14 papers), Glioma Diagnosis and Treatment (12 papers), Acute Ischemic Stroke Management (7 papers), Advanced Neural Network Applications (6 papers), Brain Tumor Detection and Classification (5 papers), MRI in cancer diagnosis (4 papers), Cerebrovascular and Carotid Artery Diseases (4 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Health Informatics (150 citations), Neurology (241 citations), Radiology, Nuclear Medicine and Imaging (455 citations), Genetics (168 citations) and Computer Vision and Pattern Recognition (219 citations). Raphael Meier has collaborated with scholars based in Switzerland, United States and Portugal. Frequent co-authors include Mauricio Reyes, Roland Wiest, Carlos A. Silva, Sérgio Pereira, Stefan Bauer, Ronald M. Summers, Hendrik von Tengg‐Kobligk, Fried-Michael Dahlweid, Johannes Slotboom and Urspeter Knecht. Their work appears in journals such as Scientific Reports, Radiology Artificial Intelligence, Medical Image Analysis, Medical Physics and Brain Communications.

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.

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