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Researcher · State Hospital · United Kingdom

Yasin Celal Güneş

Yasin Celal Güneş publishes mostly in Radiology, Nuclear Medicine and Imaging, Health Informatics and Artificial Intelligence, on topics such as Artificial Intelligence in Healthcare and Education, Radiology practices and education and Radiomics and Machine Learning in Medical Imaging.

ORCID 0000-0001-7631-854X OpenAlex
World rank
#1,980,058
of 7,710,434 ranked researchers
Rank in United Kingdom
#145,761
of 367,258
Works
76
Citations
233
Citations per work
3.1
h-index
9
i10-index 6Top 62% in Radiology, Nuclear Medicine and Imaging
Yasin Celal Güneş

What does Yasin Celal Güneş research?

Yasin Celal Güneş's work is mostly in Medicine (58%), Computer Science (9%).

Health Sciences: 44 works · 58.0% of their workMedicine: 44 works · 58.0% of their workRadiology, Nuclear Medicine and Imaging: 20 works · 26.7% of their workHealth Informatics: 12 works · 16.1% of their workNeurology: 5 works · 6.0% of their workPulmonary and Respiratory Medicine: 5 works · 6.0% of their workSurgery: 2 works · 3.2% of their workEverything else: 25 works · 32.8% of their workPhysical Sciences: 7 works · 9.2% of their workComputer Science: 7 works · 9.2% of their workArtificial Intelligence: 7 works · 9.2% of their workTHEIR WORKYasin Celal Güneş76works
Physical Sciences9%Health Sciences58%

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. Medicine4458.0%
  2. Everything else2532.8%
    1. Computer Science79.2%
  1. 1Radiology, Nuclear Medicine and Imaging27% of their works
  2. 2Health Informatics16% of their works
  3. 3Artificial Intelligence9% of their works
  4. 4Neurology6% of their works
  5. 5Pulmonary and Respiratory Medicine6% of their works
  6. 6Surgery3% of their works

Research topics

Which keywords describe Yasin Celal Güneş's research?

The keywords of their largest research topics: Machine Learning, Medical Imaging, Precision Medicine, Artificial Intelligence, Healthcare, Radiology Errors, Structured Reporting and Quantitative Analysis.

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 19 words, with their numbers
  1. Machine Learning593 topics
  2. Medical Imaging552 topics
  3. Precision Medicine552 topics
  4. Artificial Intelligence351 topic
  5. Healthcare351 topic
  6. Radiology Errors261 topic
  7. Structured Reporting261 topic
  8. Quantitative Analysis201 topic
  9. Radiomics201 topic
  10. Neural Networks91 topic
  11. Word Representation91 topic
  12. Aneurysmal Subarachnoid Hemorrhage61 topic
  13. Intracranial Aneurysms61 topic
  14. Clinical Reasoning51 topic
  15. Diagnostic Error51 topic
  16. Deep Learning41 topic
  17. Diffusion MRI41 topic
  18. Medical Image Analysis41 topic
  19. White Matter41 topic

Where does Yasin Celal Güneş work?

Yasin Celal Güneş's main affiliation in the publication record is State Hospital, United Kingdom.

How many publications and citations does Yasin Celal Güneş have?

OpenAlex counts 76 works and 233 citations for Yasin Celal Güneş, an h-index of 9, ranking #1,980,058 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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