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Researcher · Mount Sinai Health System · United States

Mert Karabacak

Mert Karabacak publishes mostly in Radiology, Nuclear Medicine and Imaging, Surgery and Epidemiology, on topics such as Artificial Intelligence in Healthcare and Education, Radiomics and Machine Learning in Medical Imaging and Glioma Diagnosis and Treatment.

ORCID 0000-0002-9263-9893 OpenAlex
World rank
#903,929
of 7,710,434 ranked researchers
Rank in United States
#298,087
of 1,627,098
Works
108
Citations
1.4k
Citations per work
13.0
h-index
17
i10-index 26Top 28% in Radiology, Nuclear Medicine and Imaging
Mert Karabacak

What does Mert Karabacak research?

Mert Karabacak's work is mostly in Medicine (42%), Computer Science (7%).

Everything else: 55 works · 50.5% of their workHealth Sciences: 45 works · 42.1% of their workMedicine: 45 works · 42.1% of their workRadiology, Nuclear Medicine and Imaging: 11 works · 10.1% of their workSurgery: 10 works · 9.1% of their workEpidemiology: 9 works · 8.1% of their workHealth Informatics: 8 works · 7.7% of their workNeurology: 8 works · 7.1% of their workPhysical Sciences: 8 works · 7.4% of their workComputer Science: 8 works · 7.4% of their workArtificial Intelligence: 8 works · 7.4% of their workTHEIR WORKMert Karabacak108works
Physical Sciences7%Health Sciences42%

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 else5550.5%
    1. Medicine4542.1%
    1. Computer Science87.4%
  1. 1Radiology, Nuclear Medicine and Imaging10% of their works
  2. 2Surgery9% of their works
  3. 3Epidemiology8% of their works
  4. 4Health Informatics8% of their works
  5. 5Artificial Intelligence7% of their works
  6. 6Neurology7% of their works

Research topics

Which keywords describe Mert Karabacak's research?

The keywords of their largest research topics: Precision Medicine, Machine Learning, Medical Imaging, Healthcare, Artificial Intelligence, Predictive Modeling, Clinical Decision Support and Ethical Challenges.

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 24 words, with their numbers
  1. Precision Medicine533 topics
  2. Machine Learning422 topics
  3. Medical Imaging422 topics
  4. Healthcare342 topics
  5. Artificial Intelligence332 topics
  6. Predictive Modeling302 topics
  7. Clinical Decision Support231 topic
  8. Ethical Challenges231 topic
  9. Deep Learning212 topics
  10. Neuroprotection192 topics
  11. Quantitative Analysis191 topic
  12. Radiomics191 topic
  13. Glioblastoma161 topic
  14. Temozolomide161 topic
  15. Anterior Cervical Discectomy111 topic
  16. Cervical Spine Surgery111 topic
  17. Electronic Health Records111 topic
  18. Ischemic Stroke111 topic
  19. Patient Similarity111 topic
  20. Thrombolysis111 topic
  21. Spine Segmentation101 topic
  22. Vertebrae Detection101 topic
  23. Pathophysiology81 topic
  24. Traumatic Brain Injury81 topic

Where does Mert Karabacak work?

Mert Karabacak's main affiliation in the publication record is Mount Sinai Health System, United States.

How many publications and citations does Mert Karabacak have?

OpenAlex counts 108 works and 1,402 citations for Mert Karabacak, an h-index of 17, ranking #903,929 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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