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Researcher · Deakin University · Australia

Afshin Shoeibi

Afshin Shoeibi publishes mostly in Cognitive Neuroscience, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, on topics such as EEG and Brain-Computer Interfaces, Functional Brain Connectivity Studies and COVID-19 diagnosis using AI.

ORCID 0000-0003-0635-6799 OpenAlex
World rank
#83,349
of 7,710,434 ranked researchers
Rank in Australia
#2,686
of 140,210
Works
92
Citations
5.4k
Citations per work
58.5
h-index
34
i10-index 58Top 10% in Cognitive Neuroscience
Afshin Shoeibi

What does Afshin Shoeibi research?

Afshin Shoeibi's work is mostly in Medicine (23%), Neuroscience (19%), Computer Science (18%).

Everything else: 37 works · 40.0% of their workHealth Sciences: 21 works · 22.6% of their workMedicine: 21 works · 22.6% of their workRadiology, Nuclear Medicine and Imaging: 11 works · 11.5% of their workCardiology and Cardiovascular Medicine: 7 works · 8.0% of their workInfectious Diseases: 3 works · 3.1% of their workLife Sciences: 18 works · 19.1% of their workNeuroscience: 18 works · 19.1% of their workCognitive Neuroscience: 18 works · 19.1% of their workPhysical Sciences: 17 works · 18.3% of their workComputer Science: 17 works · 18.3% of their workArtificial Intelligence: 11 works · 11.8% of their workComputer Vision and Pattern Recognition: 6 works · 6.5% of their workTHEIR WORKAfshin Shoeibi92works
Life Sciences19%Physical Sciences18%Health Sciences23%

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 else3740.0%
    1. Medicine2122.6%
    1. Neuroscience1819.1%
    1. Computer Science1718.3%
  1. 1Cognitive Neuroscience19% of their works
  2. 2Artificial Intelligence12% of their works
  3. 3Radiology, Nuclear Medicine and Imaging12% of their works
  4. 4Cardiology and Cardiovascular Medicine8% of their works
  5. 5Computer Vision and Pattern Recognition6% of their works
  6. 6Infectious Diseases3% of their works

Research topics

Which keywords describe Afshin Shoeibi's research?

The keywords of their largest research topics: Deep Learning, Brain-Computer Interfaces, EEG Analysis, Convolutional Neural Networks, Medical Imaging, Classification, Functional Connectivity and Resting-State fMRI.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 21 words, with their numbers
  1. Deep Learning495 topics
  2. Brain-Computer Interfaces261 topic
  3. EEG Analysis261 topic
  4. Convolutional Neural Networks232 topics
  5. Medical Imaging232 topics
  6. Classification182 topics
  7. Functional Connectivity181 topic
  8. Resting-State fMRI181 topic
  9. Machine Learning162 topics
  10. COVID-19151 topic
  11. Chest X-Ray151 topic
  12. Arrhythmia Detection101 topic
  13. ECG Signal101 topic
  14. Brain Tumor81 topic
  15. Electronic Health Records81 topic
  16. Healthcare81 topic
  17. Histopathology Images81 topic
  18. MRI81 topic
  19. Medical Image Analysis81 topic
  20. Clinical Characteristics71 topic
  21. SARS-CoV-271 topic

Where does Afshin Shoeibi work?

Afshin Shoeibi's main affiliation in the publication record is Deakin University, Australia.

How many publications and citations does Afshin Shoeibi have?

OpenAlex counts 92 works and 5,384 citations for Afshin Shoeibi, an h-index of 34, ranking #83,349 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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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