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Researcher · Wake Forest University · United States

Mitchell R. Riley

Mitchell R. Riley publishes mostly in Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, on topics such as Neural dynamics and brain function, Neural and Behavioral Psychology Studies and Radiomics and Machine Learning in Medical Imaging.

ORCID 0009-0000-4743-4736 OpenAlex
World rank
#1,608,547
of 7,710,434 ranked researchers
Rank in United States
#500,249
of 1,627,098
Works
24
Citations
685
Citations per work
28.5
h-index
9
i10-index 9Top 71% in Cognitive Neuroscience
Mitchell R. Riley

What does Mitchell R. Riley research?

Mitchell R. Riley's work is mostly in Neuroscience (47%), Medicine (16%), Computer Science (6%).

Life Sciences: 11 works · 46.7% of their workNeuroscience: 11 works · 46.7% of their workCognitive Neuroscience: 10 works · 43.5% of their workCellular and Molecular Neuroscience: 1 works · 3.2% of their workEverything else: 6 works · 24.3% of their workHealth Sciences: 4 works · 16.1% of their workMedicine: 4 works · 16.1% of their workRadiology, Nuclear Medicine and Imaging: 4 works · 16.1% of their workPhysical Sciences: 3 works · 12.9% of their workComputer Science: 2 works · 6.5% of their workArtificial Intelligence: 2 works · 6.5% of their workEngineering: 1 works · 3.2% of their workBiomedical Engineering: 1 works · 3.2% of their workMathematics: 1 works · 3.2% of their workGeometry and Topology: 1 works · 3.2% of their workTHEIR WORKMitchell R. Riley24works
Life Sciences47%Physical Sciences13%Health Sciences16%

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. Neuroscience1146.7%
  2. Everything else624.3%
    1. Medicine416.1%
    1. Computer Science26.5%
    2. Engineering13.2%
    3. Mathematics13.2%
  1. 1Cognitive Neuroscience44% of their works
  2. 2Radiology, Nuclear Medicine and Imaging16% of their works
  3. 3Artificial Intelligence6% of their works
  4. 4Geometry and Topology3% of their works
  5. 5Cellular and Molecular Neuroscience3% of their works
  6. 6Biomedical Engineering3% of their works

Research topics

Which keywords describe Mitchell R. Riley's research?

The keywords of their largest research topics: Prefrontal Cortex, Medical Imaging, Cognitive Control, Convolutional Neural Networks, Cortical Networks, Deep Learning, Machine Learning and Neural Mechanisms.

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 21 words, with their numbers
  1. Prefrontal Cortex112 topics
  2. Medical Imaging102 topics
  3. Cognitive Control81 topic
  4. Convolutional Neural Networks82 topics
  5. Cortical Networks81 topic
  6. Deep Learning82 topics
  7. Machine Learning82 topics
  8. Neural Mechanisms81 topic
  9. Neuronal Oscillations81 topic
  10. COVID-1951 topic
  11. Chest X-Ray51 topic
  12. Quantitative Analysis51 topic
  13. Radiomics51 topic
  14. Brain-Computer Interfaces41 topic
  15. EEG Analysis41 topic
  16. Hippocampus31 topic
  17. Histopathology Images31 topic
  18. Medical Image Analysis31 topic
  19. Memory31 topic
  20. Electrode Arrays21 topic
  21. Neural Stimulation21 topic

Where does Mitchell R. Riley work?

Mitchell R. Riley's main affiliation in the publication record is Wake Forest University, United States.

How many publications and citations does Mitchell R. Riley have?

OpenAlex counts 24 works and 685 citations for Mitchell R. Riley, an h-index of 9, ranking #1,608,547 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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