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Researcher · University of Southern California · United States

John Van Horn

John Van Horn publishes mostly in Cognitive Neuroscience, Molecular Biology and Computer Vision and Pattern Recognition, on topics such as Functional Brain Connectivity Studies, Scientific Computing and Data Management and Cell Image Analysis Techniques.

ORCID 0000-0003-1537-0816 OpenAlex
World rank
#1,863,831
of 7,710,434 ranked researchers
Rank in United States
#570,629
of 1,627,098
Works
42
Citations
1k
Citations per work
24.1
h-index
8
i10-index 8Top 77% in Cognitive Neuroscience
John Van Horn

What does John Van Horn research?

John Van Horn's work is mostly in Neuroscience (20%), Biochemistry, Genetics and Molecular Biology (8%), Computer Science (7%).

Everything else: 21 works · 51.0% of their workLife Sciences: 12 works · 27.9% of their workNeuroscience: 8 works · 19.8% of their workCognitive Neuroscience: 8 works · 19.8% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 8.1% of their workMolecular Biology: 3 works · 8.1% of their workPhysical Sciences: 5 works · 11.7% of their workComputer Science: 3 works · 7.0% of their workComputer Vision and Pattern Recognition: 3 works · 7.0% of their workEngineering: 2 works · 4.7% of their workBiomedical Engineering: 2 works · 4.7% of their workHealth Sciences: 2 works · 4.7% of their workMedicine: 2 works · 4.7% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 4.7% of their workSocial Sciences: 2 works · 4.7% of their workDecision Sciences: 2 works · 4.7% of their workInformation Systems and Management: 2 works · 4.7% of their workTHEIR WORKJohn Van Horn42works
Life Sciences28%Physical Sciences12%Health Sciences5%Social 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. Everything else2151.0%
    1. Neuroscience819.8%
    2. Biochemistry, Genetics and Molecular Biology38.1%
    1. Computer Science37.0%
    2. Engineering24.7%
    1. Medicine24.7%
    1. Decision Sciences24.7%
  1. 1Cognitive Neuroscience20% of their works
  2. 2Molecular Biology8% of their works
  3. 3Computer Vision and Pattern Recognition7% of their works
  4. 4Biomedical Engineering5% of their works
  5. 5Radiology, Nuclear Medicine and Imaging5% of their works
  6. 6Information Systems and Management5% of their works

Research topics

Which keywords describe John Van Horn's research?

The keywords of their largest research topics: Functional Connectivity, Resting-State fMRI, Bioinformatics, Deep Learning, Image Segmentation, Machine Learning, Reproducibility and Scientific Workflows.

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 20 words, with their numbers
  1. Functional Connectivity81 topic
  2. Resting-State fMRI81 topic
  3. Bioinformatics62 topics
  4. Deep Learning63 topics
  5. Image Segmentation42 topics
  6. Machine Learning42 topics
  7. Reproducibility41 topic
  8. Scientific Workflows41 topic
  9. Bioimage Analysis21 topic
  10. Brain Tumor21 topic
  11. Data Sharing21 topic
  12. Education21 topic
  13. Graph Cuts21 topic
  14. High-Content Screening21 topic
  15. MRI21 topic
  16. Medical Image Analysis21 topic
  17. Motor Control21 topic
  18. Scientific Data Management21 topic
  19. Sensorimotor Learning21 topic
  20. Training21 topic

Where does John Van Horn work?

John Van Horn's main affiliation in the publication record is University of Southern California, United States.

How many publications and citations does John Van Horn have?

OpenAlex counts 42 works and 1,012 citations for John Van Horn, an h-index of 8, ranking #1,863,831 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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