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Researcher · The University of Texas at Arlington · United States

Michael Robben

Michael Robben publishes mostly in Molecular Biology, Artificial Intelligence and Plant Science, on topics such as Single-cell and spatial transcriptomics, AI in cancer detection and Horticultural and Viticultural Research.

ORCID 0000-0002-5322-9947 OpenAlex
World rank
#6,086,619
of 7,710,434 ranked researchers
Rank in United States
#1,473,563
of 1,627,098
Works
31
Citations
94
Citations per work
3.0
h-index
6
i10-index 4Top 94% in Molecular Biology
Michael Robben

What does Michael Robben research?

Michael Robben's work is mostly in Biochemistry, Genetics and Molecular Biology (37%), Computer Science (11%), Agricultural and Biological Sciences (9%).

Life Sciences: 16 works · 53.2% of their workBiochemistry, Genetics and Molecular Biology: 11 works · 36.7% of their workMolecular Biology: 9 works · 29.1% of their workGenetics: 2 works · 7.6% of their workAgricultural and Biological Sciences: 3 works · 8.9% of their workPlant Science: 3 works · 8.9% of their workImmunology and Microbiology: 2 works · 7.6% of their workImmunology: 2 works · 7.6% of their workEverything else: 9 works · 30.3% of their workPhysical Sciences: 4 works · 11.4% of their workComputer Science: 4 works · 11.4% of their workArtificial Intelligence: 4 works · 11.4% of their workHealth Sciences: 2 works · 5.1% of their workMedicine: 2 works · 5.1% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 5.1% of their workTHEIR WORKMichael Robben31works
Life Sciences53%Physical Sciences11%Health Sciences5%

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. Biochemistry, Genetics and Molecular Biology1136.7%
    2. Agricultural and Biological Sciences38.9%
    3. Immunology and Microbiology27.6%
  2. Everything else930.3%
    1. Computer Science411.4%
    1. Medicine25.1%
  1. 1Molecular Biology29% of their works
  2. 2Artificial Intelligence11% of their works
  3. 3Plant Science9% of their works
  4. 4Immunology8% of their works
  5. 5Genetics8% of their works
  6. 6Radiology, Nuclear Medicine and Imaging5% of their works

Research topics

Which keywords describe Michael Robben's research?

The keywords of their largest research topics: Machine Learning, Genetics, Deep Learning, Medical Image Analysis, Single-Cell, Transcriptomics, Autoimmunity and Climate Change.

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 18 words, with their numbers
  1. Machine Learning102 topics
  2. Genetics82 topics
  3. Deep Learning71 topic
  4. Medical Image Analysis71 topic
  5. Single-Cell71 topic
  6. Transcriptomics71 topic
  7. Autoimmunity41 topic
  8. Climate Change41 topic
  9. Grapevine41 topic
  10. Type 1 Diabetes41 topic
  11. Medical Imaging31 topic
  12. Pancreatic Islets31 topic
  13. Radiomics31 topic
  14. ß-Cell Dysfunction31 topic
  15. Bioenergy Crops21 topic
  16. Microbial Modulation21 topic
  17. Switchgrass21 topic
  18. Wine Yeasts21 topic

Where does Michael Robben work?

Michael Robben's main affiliation in the publication record is The University of Texas at Arlington, United States.

How many publications and citations does Michael Robben have?

OpenAlex counts 31 works and 94 citations for Michael Robben, an h-index of 6, ranking #6,086,619 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.

Discussion

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