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Researcher · University of Michigan · United States

Jonathan A. Raz

Jonathan A. Raz publishes mostly in Cognitive Neuroscience, Statistics and Probability and Signal Processing, on topics such as Blind Source Separation Techniques, Neural dynamics and brain function and Statistical Methods and Inference.

OpenAlex
World rank
#1,077,206
of 7,710,434 ranked researchers
Rank in United States
#349,270
of 1,627,098
Works
69
Citations
2.8k
Citations per work
39.9
h-index
29
i10-index 42Top 14% in Cognitive Neuroscience
Jonathan A. Raz

What does Jonathan A. Raz research?

Jonathan A. Raz's work is mostly in Neuroscience (26%), Computer Science (20%), Mathematics (9%).

Everything else: 27 works · 38.5% of their workPhysical Sciences: 20 works · 28.5% of their workComputer Science: 14 works · 19.6% of their workSignal Processing: 6 works · 8.4% of their workArtificial Intelligence: 5 works · 6.7% of their workComputer Vision and Pattern Recognition: 3 works · 4.5% of their workMathematics: 6 works · 8.9% of their workStatistics and Probability: 6 works · 8.9% of their workLife Sciences: 18 works · 26.3% of their workNeuroscience: 18 works · 26.3% of their workCognitive Neuroscience: 18 works · 26.3% of their workHealth Sciences: 5 works · 6.7% of their workMedicine: 5 works · 6.7% of their workRadiology, Nuclear Medicine and Imaging: 5 works · 6.7% of their workTHEIR WORKJonathan A. Raz69works
Life Sciences26%Physical Sciences28%Health Sciences7%

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 else2738.5%
    1. Computer Science1419.6%
    2. Mathematics68.9%
    1. Neuroscience1826.3%
    1. Medicine56.7%
  1. 1Cognitive Neuroscience26% of their works
  2. 2Statistics and Probability9% of their works
  3. 3Signal Processing8% of their works
  4. 4Artificial Intelligence7% of their works
  5. 5Radiology, Nuclear Medicine and Imaging7% of their works
  6. 6Computer Vision and Pattern Recognition4% of their works

Research topics

Which keywords describe Jonathan A. Raz's research?

The keywords of their largest research topics: Deep Learning, Blind Separation, Independent Component Analysis, Cortical Networks, Neuronal Oscillations, Regularization, Variable Selection and Functional Connectivity.

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 Learning203 topics
  2. Blind Separation131 topic
  3. Independent Component Analysis131 topic
  4. Cortical Networks101 topic
  5. Neuronal Oscillations101 topic
  6. Regularization101 topic
  7. Variable Selection101 topic
  8. Functional Connectivity81 topic
  9. Image Denoising81 topic
  10. Resting-State fMRI81 topic
  11. Sparse Representations81 topic
  12. Brain-Computer Interfaces71 topic
  13. EEG Analysis71 topic
  14. Magnetic Resonance Imaging61 topic
  15. Neural Networks61 topic
  16. Perfusion Imaging61 topic
  17. Self-Organizing Maps61 topic

Where does Jonathan A. Raz work?

Jonathan A. Raz's main affiliation in the publication record is University of Michigan, United States.

How many publications and citations does Jonathan A. Raz have?

OpenAlex counts 69 works and 2,750 citations for Jonathan A. Raz, an h-index of 29, ranking #1,077,206 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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