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Researcher · Sorbonne Université · France

Daniel Racoceanu

Daniel Racoceanu publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Biophysics, on topics such as AI in cancer detection, Cell Image Analysis Techniques and Image Retrieval and Classification Techniques.

ORCID 0000-0002-9416-1803 OpenAlex
World rank
#1,754,718
of 7,710,434 ranked researchers
Rank in France
#77,496
of 324,115
Works
214
Citations
7.6k
Citations per work
35.3
h-index
24
i10-index 44Top 8.5% in Artificial Intelligence
Daniel Racoceanu

What does Daniel Racoceanu research?

Daniel Racoceanu's work is mostly in Computer Science (41%), Biochemistry, Genetics and Molecular Biology (17%), Medicine (6%).

Physical Sciences: 95 works · 44.5% of their workComputer Science: 88 works · 40.9% of their workArtificial Intelligence: 45 works · 21.0% of their workComputer Vision and Pattern Recognition: 43 works · 19.9% of their workEngineering: 8 works · 3.6% of their workControl and Systems Engineering: 8 works · 3.6% of their workEverything else: 70 works · 32.5% of their workLife Sciences: 36 works · 17.0% of their workBiochemistry, Genetics and Molecular Biology: 36 works · 17.0% of their workBiophysics: 19 works · 8.7% of their workMolecular Biology: 18 works · 8.3% of their workHealth Sciences: 13 works · 6.0% of their workMedicine: 13 works · 6.0% of their workRadiology, Nuclear Medicine and Imaging: 13 works · 6.0% of their workTHEIR WORKDaniel Racoceanu214works
Life Sciences17%Physical Sciences44%Health Sciences6%

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. Computer Science8840.9%
    2. Engineering83.6%
  2. Everything else7032.5%
    1. Biochemistry, Genetics and Molecular Biology3617.0%
    1. Medicine136.0%
  1. 1Artificial Intelligence21% of their works
  2. 2Computer Vision and Pattern Recognition20% of their works
  3. 3Biophysics9% of their works
  4. 4Molecular Biology8% of their works
  5. 5Radiology, Nuclear Medicine and Imaging6% of their works
  6. 6Control and Systems Engineering4% of their works

Research topics

Which keywords describe Daniel Racoceanu's research?

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

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.

All 23 words, with their numbers
  1. Machine Learning1936 topics
  2. Deep Learning1383 topics
  3. Medical Image Analysis1193 topics
  4. Convolutional Neural Networks932 topics
  5. Computer-Aided Detection691 topic
  6. Histopathology Images691 topic
  7. Image Processing672 topics
  8. Bioimage Analysis431 topic
  9. High-Content Screening431 topic
  10. Texture Analysis422 topics
  11. Feature Extraction402 topics
  12. Content-Based Image Retrieval291 topic
  13. Shape Matching291 topic
  14. Graph Cuts261 topic
  15. Image Segmentation261 topic
  16. Biomedical Ontologies251 topic
  17. Text Mining251 topic
  18. Leukemia Classification241 topic
  19. Malaria Parasite Detection241 topic
  20. Medical Imaging161 topic
  21. Radiomics161 topic
  22. Fault Detection121 topic
  23. Process Monitoring121 topic

Where does Daniel Racoceanu work?

Daniel Racoceanu's main affiliation in the publication record is Sorbonne Université, France.

How many publications and citations does Daniel Racoceanu have?

OpenAlex counts 214 works and 7,552 citations for Daniel Racoceanu, an h-index of 24, ranking #1,754,718 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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.

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