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Researcher · Lawrence Berkeley National Laboratory · United States

Oliver Rübel

Oliver Rübel publishes mostly in Molecular Biology, Computer Vision and Pattern Recognition and Information Systems and Management, on topics such as Scientific Computing and Data Management, Cell Image Analysis Techniques and Data Visualization and Analytics.

ORCID 0000-0001-9902-1984 OpenAlex
World rank
#1,354,311
of 7,710,434 ranked researchers
Rank in United States
#429,110
of 1,627,098
Works
85
Citations
2.1k
Citations per work
24.2
h-index
23
i10-index 36Top 26% in Molecular Biology
Oliver Rübel

What does Oliver Rübel research?

Oliver Rübel's work is mostly in Computer Science (24%), Biochemistry, Genetics and Molecular Biology (21%), Decision Sciences (8%).

Everything else: 40 works · 46.6% of their workPhysical Sciences: 20 works · 23.9% of their workComputer Science: 20 works · 23.9% of their workComputer Vision and Pattern Recognition: 10 works · 12.0% of their workComputer Networks and Communications: 6 works · 6.8% of their workComputational Theory and Mathematics: 4 works · 5.1% of their workLife Sciences: 18 works · 21.4% of their workBiochemistry, Genetics and Molecular Biology: 18 works · 21.4% of their workMolecular Biology: 12 works · 13.7% of their workBiophysics: 7 works · 7.7% of their workSocial Sciences: 7 works · 8.1% of their workDecision Sciences: 7 works · 8.1% of their workInformation Systems and Management: 7 works · 8.1% of their workTHEIR WORKOliver Rübel85works
Life Sciences21%Physical Sciences24%Social Sciences8%

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 else4046.6%
    1. Computer Science2023.9%
    1. Biochemistry, Genetics and Molecular Biology1821.4%
    1. Decision Sciences78.1%
  1. 1Molecular Biology14% of their works
  2. 2Computer Vision and Pattern Recognition12% of their works
  3. 3Information Systems and Management8% of their works
  4. 4Biophysics8% of their works
  5. 5Computer Networks and Communications7% of their works
  6. 6Computational Theory and Mathematics5% of their works

Research topics

Which keywords describe Oliver Rübel's research?

The keywords of their largest research topics: Machine Learning, Reproducibility, Scientific Workflows, Bioimage Analysis, High-Content Screening, Information Visualization, Visual Analytics and Persistent Homology.

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 17 words, with their numbers
  1. Machine Learning292 topics
  2. Reproducibility181 topic
  3. Scientific Workflows181 topic
  4. Bioimage Analysis171 topic
  5. High-Content Screening171 topic
  6. Information Visualization141 topic
  7. Visual Analytics141 topic
  8. Persistent Homology121 topic
  9. Topological Methods121 topic
  10. Computer Graphics81 topic
  11. GPS Trajectories81 topic
  12. Trajectory Data Mining81 topic
  13. Visualization81 topic
  14. Distributed Storage71 topic
  15. Network Coding71 topic
  16. Single-Cell71 topic
  17. Transcriptomics71 topic

Where does Oliver Rübel work?

Oliver Rübel's main affiliation in the publication record is Lawrence Berkeley National Laboratory, United States.

How many publications and citations does Oliver Rübel have?

OpenAlex counts 85 works and 2,061 citations for Oliver Rübel, an h-index of 23, ranking #1,354,311 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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