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Researcher · Kaunas University of Technology · Lithuania

Mohammad Shahbakhti

Mohammad Shahbakhti publishes mostly in Cognitive Neuroscience, Signal Processing and Cardiology and Cardiovascular Medicine, on topics such as EEG and Brain-Computer Interfaces, Blind Source Separation Techniques and Non-Invasive Vital Sign Monitoring.

ORCID 0000-0001-6625-7923 OpenAlex
World rank
#3,425,798
of 7,710,434 ranked researchers
Rank in Lithuania
#1,523
of 9,273
Works
39
Citations
477
Citations per work
12.2
h-index
13
i10-index 14Top 49% in Cognitive Neuroscience
Mohammad Shahbakhti

What does Mohammad Shahbakhti research?

Mohammad Shahbakhti's work is mostly in Neuroscience (26%), Medicine (23%), Computer Science (12%).

Everything else: 12 works · 29.5% of their workLife Sciences: 10 works · 25.9% of their workNeuroscience: 10 works · 25.9% of their workCognitive Neuroscience: 10 works · 25.9% of their workHealth Sciences: 9 works · 23.2% of their workMedicine: 9 works · 23.2% of their workCardiology and Cardiovascular Medicine: 4 works · 10.7% of their workPediatrics, Perinatology and Child Health: 3 works · 7.1% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 5.4% of their workPhysical Sciences: 8 works · 21.4% of their workComputer Science: 5 works · 11.6% of their workSignal Processing: 5 works · 11.6% of their workEngineering: 4 works · 9.8% of their workBiomedical Engineering: 4 works · 9.8% of their workTHEIR WORKMohammadShahbakhti39works
Life Sciences26%Physical Sciences21%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 else1229.5%
    1. Neuroscience1025.9%
    1. Medicine923.2%
    1. Computer Science511.6%
    2. Engineering49.8%
  1. 1Cognitive Neuroscience26% of their works
  2. 2Signal Processing12% of their works
  3. 3Cardiology and Cardiovascular Medicine11% of their works
  4. 4Biomedical Engineering10% of their works
  5. 5Pediatrics, Perinatology and Child Health7% of their works
  6. 6Radiology, Nuclear Medicine and Imaging5% of their works

Research topics

Which keywords describe Mohammad Shahbakhti's research?

The keywords of their largest research topics: Brain-Computer Interfaces, EEG Analysis, Deep Learning, Wavelet Transform, Blind Separation, Independent Component Analysis, Inflammation and Neurodevelopmental Outcomes.

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. Brain-Computer Interfaces221 topic
  2. EEG Analysis221 topic
  3. Deep Learning122 topics
  4. Wavelet Transform122 topics
  5. Blind Separation111 topic
  6. Independent Component Analysis111 topic
  7. Inflammation112 topics
  8. Neurodevelopmental Outcomes112 topics
  9. Photoplethysmography101 topic
  10. Remote Monitoring101 topic
  11. Arrhythmia Detection81 topic
  12. ECG Signal81 topic
  13. Hypoxic-Ischemic Encephalopathy61 topic
  14. Near-Infrared Spectroscopy61 topic
  15. Neonatal Encephalopathy61 topic
  16. Optical Imaging61 topic
  17. Preterm Birth51 topic
  18. Progesterone51 topic
  19. Empirical Mode Decomposition41 topic
  20. Fault Diagnosis41 topic

Where does Mohammad Shahbakhti work?

Mohammad Shahbakhti's main affiliation in the publication record is Kaunas University of Technology, Lithuania.

How many publications and citations does Mohammad Shahbakhti have?

OpenAlex counts 39 works and 477 citations for Mohammad Shahbakhti, an h-index of 13, ranking #3,425,798 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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