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Researcher · Technische Hochschule Ingolstadt · Germany

Marc Aubreville

Marc Aubreville publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, on topics such as AI in cancer detection, Digital Imaging for Blood Diseases and Cell Image Analysis Techniques.

ORCID 0000-0002-5294-5247 OpenAlex
World rank
#550,788
of 7,710,434 ranked researchers
Rank in Germany
#27,140
of 364,343
Works
1,050
Citations
2.1k
Citations per work
2.0
h-index
23
i10-index 42Top 9.4% in Artificial Intelligence
Marc Aubreville

What does Marc Aubreville research?

Marc Aubreville's work is mostly in Computer Science (34%), Medicine (15%), Biochemistry, Genetics and Molecular Biology (12%).

Everything else: 408 works · 38.9% of their workPhysical Sciences: 362 works · 34.5% of their workComputer Science: 362 works · 34.5% of their workArtificial Intelligence: 228 works · 21.7% of their workComputer Vision and Pattern Recognition: 134 works · 12.8% of their workHealth Sciences: 158 works · 15.0% of their workMedicine: 158 works · 15.0% of their workPulmonary and Respiratory Medicine: 79 works · 7.5% of their workRadiology, Nuclear Medicine and Imaging: 79 works · 7.5% of their workLife Sciences: 122 works · 11.6% of their workBiochemistry, Genetics and Molecular Biology: 122 works · 11.6% of their workBiophysics: 67 works · 6.4% of their workMolecular Biology: 55 works · 5.2% of their workTHEIR WORKMarc Aubreville1,050works
Life Sciences12%Physical Sciences34%Health Sciences15%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
  1. Everything else40838.9%
    1. Computer Science36234.5%
    1. Medicine15815.0%
    1. Biochemistry, Genetics and Molecular Biology12211.6%
  1. 1Artificial Intelligence22% of their works
  2. 2Computer Vision and Pattern Recognition13% of their works
  3. 3Radiology, Nuclear Medicine and Imaging8% of their works
  4. 4Pulmonary and Respiratory Medicine8% of their works
  5. 5Biophysics6% of their works
  6. 6Molecular Biology5% of their works

Research topics

Which keywords describe Marc Aubreville's research?

The keywords of their largest research topics: Machine Learning, Convolutional Neural Networks, Medical Image Analysis, Deep Learning, Computer-Aided Detection, Histopathology Images, Image Processing and Feature Extraction.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 24 words, with their numbers
  1. Machine Learning2325 topics
  2. Convolutional Neural Networks1422 topics
  3. Medical Image Analysis1422 topics
  4. Deep Learning1392 topics
  5. Computer-Aided Detection1021 topic
  6. Histopathology Images1021 topic
  7. Image Processing772 topics
  8. Feature Extraction732 topics
  9. Medical Imaging532 topics
  10. Precision Medicine532 topics
  11. Leukemia Classification401 topic
  12. Malaria Parasite Detection401 topic
  13. Bioimage Analysis371 topic
  14. High-Content Screening371 topic
  15. Quantitative Analysis331 topic
  16. Radiomics331 topic
  17. Canine Cancer301 topic
  18. Comparative Oncology301 topic
  19. Artificial Intelligence201 topic
  20. Esophageal Carcinoma201 topic
  21. Healthcare201 topic
  22. Preoperative Chemoradiotherapy201 topic
  23. Human Papillomavirus161 topic
  24. Oropharyngeal Cancer161 topic

Where does Marc Aubreville work?

Marc Aubreville's main affiliation in the publication record is Technische Hochschule Ingolstadt, Germany.

How many publications and citations does Marc Aubreville have?

OpenAlex counts 1,050 works and 2,126 citations for Marc Aubreville, an h-index of 23, ranking #550,788 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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