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Researcher · Fırat University · Türkiye

Şengül Doğan

Şengül Doğan publishes mostly in Computer Vision and Pattern Recognition, Cognitive Neuroscience and Signal Processing, on topics such as EEG and Brain-Computer Interfaces, Music and Audio Processing and ECG Monitoring and Analysis.

ORCID 0000-0001-9677-5684 OpenAlex
World rank
#111,056
of 7,710,434 ranked researchers
Rank in Türkiye
#261
of 117,622
Works
310
Citations
6.9k
Citations per work
22.3
h-index
44
i10-index 157Top 1.7% in Computer Vision and Pattern Recognition
Şengül Doğan

What does Şengül Doğan research?

Şengül Doğan's work is mostly in Computer Science (31%), Neuroscience (12%), Medicine (11%).

Everything else: 145 works · 46.9% of their workPhysical Sciences: 95 works · 30.6% of their workComputer Science: 95 works · 30.6% of their workComputer Vision and Pattern Recognition: 41 works · 13.3% of their workSignal Processing: 28 works · 9.1% of their workArtificial Intelligence: 25 works · 8.2% of their workLife Sciences: 36 works · 11.6% of their workNeuroscience: 36 works · 11.6% of their workCognitive Neuroscience: 36 works · 11.6% of their workHealth Sciences: 34 works · 10.9% of their workMedicine: 34 works · 10.9% of their workRadiology, Nuclear Medicine and Imaging: 19 works · 6.2% of their workCardiology and Cardiovascular Medicine: 15 works · 4.7% of their workTHEIR WORKŞengül Doğan310works
Life Sciences12%Physical Sciences31%Health Sciences11%

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 else14546.9%
    1. Computer Science9530.6%
    1. Neuroscience3611.6%
    1. Medicine3410.9%
  1. 1Computer Vision and Pattern Recognition13% of their works
  2. 2Cognitive Neuroscience12% of their works
  3. 3Signal Processing9% of their works
  4. 4Artificial Intelligence8% of their works
  5. 5Radiology, Nuclear Medicine and Imaging6% of their works
  6. 6Cardiology and Cardiovascular Medicine5% of their works

Research topics

Which keywords describe Şengül Doğan's research?

The keywords of their largest research topics: Deep Learning, Brain-Computer Interfaces, EEG Analysis, Feature Extraction, Classification, Convolutional Neural Networks, Medical Imaging and Transfer Learning.

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 23 words, with their numbers
  1. Deep Learning1667 topics
  2. Brain-Computer Interfaces751 topic
  3. EEG Analysis751 topic
  4. Feature Extraction743 topics
  5. Classification653 topics
  6. Convolutional Neural Networks522 topics
  7. Medical Imaging422 topics
  8. Transfer Learning422 topics
  9. Machine Learning372 topics
  10. Audio Signal Classification291 topic
  11. Music Information Retrieval291 topic
  12. Arrhythmia Detection281 topic
  13. ECG Signal281 topic
  14. Emotion Recognition261 topic
  15. Multimodal Data261 topic
  16. Audio-Visual Speech Recognition231 topic
  17. COVID-19231 topic
  18. Chest X-Ray231 topic
  19. Speech Enhancement231 topic
  20. Brain Tumor191 topic
  21. MRI191 topic
  22. Heart Sound181 topic
  23. Lung Sound181 topic

Where does Şengül Doğan work?

Şengül Doğan's main affiliation in the publication record is Fırat University, Türkiye.

How many publications and citations does Şengül Doğan have?

OpenAlex counts 310 works and 6,900 citations for Şengül Doğan, an h-index of 44, ranking #111,056 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.

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