Alexander Hubert

1.1k citations
8 papers · 380 · 1 hit paper · h-index 5

Impact in

Papers in

Alexander Hubert

7 papers receiving 365 citations

Alexander Hubert's Hit Papers

Deep MRI brain extraction: A 3D convolutional neural network for skull stripping 2016 · 331 citations
3310+3+6Years since publication100200300

Peers

Alexander Hubert
Comparison fields: 5 of 70
  • Neurology 136
  • Computer Vision and Pattern Recognition 186
  • Radiology, Nuclear Medicine and Imaging 145
  • Health Informatics 6
  • Artificial Intelligence 93
Replace Jiatai Lin with:
Jiatai Lin China
Mohammad Faizal Ahmad Fauzi Malaysia
Mahsa Shakeri Iran
Alireza Karimian Iran
Nagesh K. Subbanna Canada
April Khademi Canada
Guidong Song China
Ujjwal Baid India
Zhuoyuan Li China
Bibo Shi United States
Alexander Hubert relative to Jiatai Lin China Jiatai Lin's profile →
Citations per field
00.5×10×13.5×
Jiatai Lin · 1×
Citations per year

Countries citing papers authored by Alexander Hubert

Since Specialization
Citations

This map shows the geographic impact of Alexander Hubert'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 Alexander Hubert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Hubert more than expected).

Fields of papers citing papers by Alexander Hubert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander Hubert. 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 Alexander Hubert. The network helps show where Alexander Hubert may publish in the future.

Co-authors

The 25 scholars most cited alongside Alexander Hubert, 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 Alexander Hubert Line = papers co-authored together Alexander Hubert links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Deep MRI brain extraction: A 3D convolutional neural network for skull stripping
Hit paper breakdown →
2016331
2 202231
3 20146
4 20195
5 20204
6 20212
7 20211
8 20210

About Alexander Hubert

Alexander Hubert is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology, Genetics, Neurology and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 380 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (3 papers), Medical Image Segmentation Techniques (2 papers), Glioma Diagnosis and Treatment (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Long-Term Effects of COVID-19 (1 paper), Advanced Neural Network Applications (1 paper), Trauma and Emergency Care Studies (1 paper) and Emergency and Acute Care Studies (1 paper). The work is most often cited by research in Neurology (136 citations), Computer Vision and Pattern Recognition (186 citations), Radiology, Nuclear Medicine and Imaging (145 citations), Health Informatics (6 citations) and Artificial Intelligence (93 citations). Alexander Hubert has collaborated with scholars based in Germany, Austria and Switzerland. Frequent co-authors include Martin Bendszus, Jens Kleesiek, Gregor Urban, Klaus Maier‐Hein, Dániel Schwarz, Armin Biller, Manuel Röhrich, Olaf Dietrich, Hans‐Ulrich Kauczor and Hendrik Rathke. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Journal of Nuclear Medicine, World Neurosurgery, Physics in Medicine and Biology and European Radiology.

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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