Raphael Meier

8.4k total citations
36 papers, 1.0k citations indexed

About

Raphael Meier is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Epidemiology. According to data from OpenAlex, Raphael Meier has authored 36 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Genetics and 9 papers in Epidemiology. Recurrent topics in Raphael Meier's work include Radiomics and Machine Learning in Medical Imaging (14 papers), Glioma Diagnosis and Treatment (12 papers) and Acute Ischemic Stroke Management (7 papers). Raphael Meier is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (14 papers), Glioma Diagnosis and Treatment (12 papers) and Acute Ischemic Stroke Management (7 papers). Raphael Meier collaborates with scholars based in Switzerland, United States and Portugal. Raphael Meier's co-authors include Mauricio Reyes, Roland Wiest, Sérgio Pereira, Carlos A. Silva, Stefan Bauer, Fried-Michael Dahlweid, Ronald M. Summers, Johannes Slotboom, Hendrik von Tengg‐Kobligk and Urspeter Knecht and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Raphael Meier

35 papers receiving 966 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Raphael Meier Switzerland 16 455 254 241 219 168 36 1.0k
Chung‐Ming Lo Taiwan 21 746 1.6× 564 2.2× 225 0.9× 284 1.3× 108 0.6× 62 1.2k
Alfiia Galimzianova United States 8 438 1.0× 263 1.0× 354 1.5× 379 1.7× 23 0.1× 15 1.0k
Georgios Z. Papadakis United States 20 582 1.3× 252 1.0× 74 0.3× 126 0.6× 51 0.3× 83 1.6k
Carson Lam United States 13 606 1.3× 275 1.1× 112 0.5× 179 0.8× 15 0.1× 25 1.1k
Luke Macyszyn United States 16 410 0.9× 94 0.4× 85 0.4× 59 0.3× 274 1.6× 44 975
Xuxin Chen United States 11 400 0.9× 307 1.2× 81 0.3× 157 0.7× 42 0.3× 40 858
Yusong Lin China 18 594 1.3× 163 0.6× 109 0.5× 124 0.6× 156 0.9× 56 929
Jihye Yun South Korea 15 564 1.2× 190 0.7× 43 0.2× 110 0.5× 50 0.3× 36 985
Mohamed Shehata Egypt 14 377 0.8× 152 0.6× 65 0.3× 122 0.6× 57 0.3× 55 648
Antonella Balestrieri Italy 15 233 0.5× 103 0.4× 148 0.6× 109 0.5× 27 0.2× 49 798

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-authorship network of co-authors of Raphael Meier

This figure shows the co-authorship network connecting the top 25 collaborators of Raphael Meier. A scholar is included among the top collaborators of Raphael Meier 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 Raphael Meier. Raphael Meier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Suter, Yannick, Raphael Meier, Philippe Schucht, et al.. (2023). Evaluating automated longitudinal tumor measurements for glioblastoma response assessment. SHILAP Revista de lepidopterología. 3. 1211859–1211859. 2 indexed citations
2.
Rebsamen, Michael, Piotr Radojewski, Christian Rummel, et al.. (2023). Large-scale transient peri-ictal perfusion magnetic resonance imaging abnormalities detected by quantitative image analysis. Brain Communications. 5(2). fcad047–fcad047. 4 indexed citations
3.
Tetteh, Giles, Fernando Navarro, Raphael Meier, et al.. (2023). A deep learning approach to predict collateral flow in stroke patients using radiomic features from perfusion images. Frontiers in Neurology. 14. 1039693–1039693. 6 indexed citations
4.
Meinel, Thomas R., Urs Fischer, Morin Beyeler, et al.. (2022). Multivariable Prediction Model for Futile Recanalization Therapies in Patients With Acute Ischemic Stroke. Neurology. 99(10). e1009–e1018. 30 indexed citations
5.
Kaesmacher, Johannes, Christoph C. Kurmann, Philipe S. Breiding, et al.. (2020). Infarct in new territory after endovascular stroke treatment: A diffusion-weighted imaging study. Scientific Reports. 10(1). 8366–8366. 17 indexed citations
6.
Pinto, Adriano, Sérgio Pereira, Raphael Meier, et al.. (2020). Combining unsupervised and supervised learning for predicting the final stroke lesion. Medical Image Analysis. 69. 101888–101888. 25 indexed citations
7.
Meier, Raphael, Aurélie Pahud de Mortanges, Roland Wiest, & Urspeter Knecht. (2020). Exploratory Analysis of Qualitative MR Imaging Features for the Differentiation of Glioblastoma and Brain Metastases. Frontiers in Oncology. 10. 581037–581037. 12 indexed citations
8.
Reyes, Mauricio, Raphael Meier, Sérgio Pereira, et al.. (2020). On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities. Radiology Artificial Intelligence. 2(3). e190043–e190043. 283 indexed citations
9.
Ermiş, Ekin, Alain Jungo, Raphael Meier, et al.. (2020). Fully automated brain resection cavity delineation for radiation target volume definition in glioblastoma patients using deep learning. Radiation Oncology. 15(1). 100–100. 51 indexed citations
10.
Rebsamen, Michael, Urspeter Knecht, Mauricio Reyes, et al.. (2019). Divide and Conquer: Stratifying Training Data by Tumor Grade Improves Deep Learning-Based Brain Tumor Segmentation. Frontiers in Neuroscience. 13. 1182–1182. 15 indexed citations
11.
Herrmann, Evelyn, Ekin Ermiş, Raphael Meier, et al.. (2018). Fully Automated Segmentation of the Brain Resection Cavity for Radiation Target Volume Definition in Glioblastoma Patients. International Journal of Radiation Oncology*Biology*Physics. 102(3). S194–S194. 3 indexed citations
12.
Kellner‐Weldon, Frauke, Christoph Stippich, Roland Wiest, et al.. (2017). Comparison of perioperative automated versus manual two-dimensional tumor analysis in glioblastoma patients. European Journal of Radiology. 95. 75–81. 8 indexed citations
13.
Pereira, Sérgio, Raphael Meier, Richard McKinley, et al.. (2017). Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation. Medical Image Analysis. 44. 228–244. 79 indexed citations
14.
Meier, Raphael, Nicole Porz, Urspeter Knecht, et al.. (2017). Automatic estimation of extent of resection and residual tumor volume of patients with glioblastoma. Journal of neurosurgery. 127(4). 798–806. 30 indexed citations
15.
Porz, Nicole, Raphael Meier, Rajeev Verma, et al.. (2016). Fully Automated Enhanced Tumor Compartmentalization: Man vs. Machine Reloaded. PLoS ONE. 11(11). e0165302–e0165302. 22 indexed citations
16.
Meier, Raphael, Urspeter Knecht, Stefan Bauer, et al.. (2016). Clinical Evaluation of a Fully-automatic Segmentation Method for Longitudinal Brain Tumor Volumetry. Scientific Reports. 6(1). 23376–23376. 79 indexed citations
17.
Velazquez, Emmanuel Rios, Raphael Meier, Walter Dunn, et al.. (2015). TU-AB-BRA-11: Evaluation of Fully Automatic Volumetric GBM Segmentation in the TCGA-GBM Dataset: Prognosis and Correlation with VASARI Features. Medical Physics. 42(6Part31). 3589–3589. 2 indexed citations
18.
Velazquez, Emmanuel Rios, Raphael Meier, William D. Dunn, et al.. (2015). Fully automatic GBM segmentation in the TCGA-GBM dataset: Prognosis and correlation with VASARI features. Scientific Reports. 5(1). 68 indexed citations
19.
Meier, Raphael, Stefan Bauer, Johannes Slotboom, Roland Wiest, & Mauricio Reyes. (2013). A Hybrid Model for Multimodal Brain Tumor Segmentation. Bern Open Repository and Information System (University of Bern). 54 indexed citations
20.
Loustalot, P. & Raphael Meier. (1954). [Comparative histochemical studies of the effects of aldosteron and other adrenal cortex hormones; desoxycorticosterone, corticosterone, cortisone].. PubMed. 84(51). 1415–6. 2 indexed citations

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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