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Researcher · MBF Bioscience (United States) · United States

Jacob R. Glaser

Jacob R. Glaser publishes mostly in Biophysics, Computer Vision and Pattern Recognition and Molecular Biology, on topics such as Cell Image Analysis Techniques, Advanced Fluorescence Microscopy Techniques and Medical Image Segmentation Techniques.

ORCID 0000-0003-4463-207X OpenAlex
World rank
#2,424,133
of 7,710,434 ranked researchers
Rank in United States
#717,916
of 1,627,098
Works
22
Citations
971
Citations per work
44.1
h-index
8
i10-index 8Top 74% in Biophysics
Jacob R. Glaser

What does Jacob R. Glaser research?

Jacob R. Glaser's work is mostly in Biochemistry, Genetics and Molecular Biology (46%), Computer Science (12%), Neuroscience (5%).

Life Sciences: 11 works · 50.9% of their workBiochemistry, Genetics and Molecular Biology: 10 works · 45.8% of their workBiophysics: 8 works · 35.6% of their workMolecular Biology: 2 works · 10.2% of their workNeuroscience: 1 works · 5.1% of their workCellular and Molecular Neuroscience: 1 works · 5.1% of their workEverything else: 6 works · 27.0% of their workPhysical Sciences: 4 works · 17.0% of their workComputer Science: 3 works · 11.9% of their workComputer Vision and Pattern Recognition: 3 works · 11.9% of their workEngineering: 1 works · 5.1% of their workBiomedical Engineering: 1 works · 5.1% of their workHealth Sciences: 1 works · 5.1% of their workMedicine: 1 works · 5.1% of their workNeurology: 1 works · 5.1% of their workTHEIR WORKJacob R. Glaser22works
Life Sciences51%Physical Sciences17%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 Biology1045.8%
    2. Neuroscience15.1%
  2. Everything else627.0%
    1. Computer Science311.9%
    2. Engineering15.1%
    1. Medicine15.1%
  1. 1Biophysics36% of their works
  2. 2Computer Vision and Pattern Recognition12% of their works
  3. 3Molecular Biology10% of their works
  4. 4Biomedical Engineering5% of their works
  5. 5Cellular and Molecular Neuroscience5% of their works
  6. 6Neurology5% of their works

Research topics

Which keywords describe Jacob R. Glaser's research?

The keywords of their largest research topics: Deep Learning, Bioimage Analysis, High-Content Screening, Fluorescent Proteins, Image Segmentation, Medical Image Analysis, Super-Resolution Imaging and Deep Brain Stimulation.

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. Deep Learning233 topics
  2. Bioimage Analysis161 topic
  3. High-Content Screening161 topic
  4. Fluorescent Proteins51 topic
  5. Image Segmentation51 topic
  6. Medical Image Analysis51 topic
  7. Super-Resolution Imaging51 topic
  8. Deep Brain Stimulation21 topic
  9. Digital Holographic Microscopy21 topic
  10. Parkinson's Disease21 topic
  11. Quantitative Phase Imaging21 topic
  12. Aging11 topic
  13. Oxidative Stress11 topic
  14. Quality11 topic
  15. Rabbit Meat11 topic
  16. Single-Cell11 topic
  17. Transcriptomics11 topic

Where does Jacob R. Glaser work?

Jacob R. Glaser's main affiliation in the publication record is MBF Bioscience (United States), United States.

How many publications and citations does Jacob R. Glaser have?

OpenAlex counts 22 works and 971 citations for Jacob R. Glaser, an h-index of 8, ranking #2,424,133 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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