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Researcher · Başkent University · Türkiye

Selda Güney

Selda Güney publishes mostly in Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence, on topics such as Advanced Chemical Sensor Technologies, Gas Sensing Nanomaterials and Sensors and COVID-19 diagnosis using AI.

ORCID 0000-0002-0573-1326 OpenAlex
World rank
#2,894,099
of 7,710,434 ranked researchers
Rank in Türkiye
#17,225
of 117,622
Works
57
Citations
652
Citations per work
11.4
h-index
15
i10-index 20Top 23% in Computer Vision and Pattern Recognition
Selda Güney

What does Selda Güney research?

Selda Güney's work is mostly in Computer Science (26%), Engineering (26%), Medicine (7%).

Physical Sciences: 30 works · 52.2% of their workComputer Science: 15 works · 26.4% of their workComputer Vision and Pattern Recognition: 9 works · 16.1% of their workArtificial Intelligence: 6 works · 10.3% of their workEngineering: 15 works · 25.8% of their workBiomedical Engineering: 8 works · 13.5% of their workElectrical and Electronic Engineering: 5 works · 8.4% of their workAerospace Engineering: 2 works · 3.9% of their workEverything else: 23 works · 40.7% of their workHealth Sciences: 4 works · 7.1% of their workMedicine: 4 works · 7.1% of their workRadiology, Nuclear Medicine and Imaging: 4 works · 7.1% of their workTHEIR WORKSelda Güney57works
Physical Sciences52%Health Sciences7%

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. Computer Science1526.4%
    2. Engineering1525.8%
  2. Everything else2340.7%
    1. Medicine47.1%
  1. 1Computer Vision and Pattern Recognition16% of their works
  2. 2Biomedical Engineering14% of their works
  3. 3Artificial Intelligence10% of their works
  4. 4Electrical and Electronic Engineering8% of their works
  5. 5Radiology, Nuclear Medicine and Imaging7% of their works
  6. 6Aerospace Engineering4% of their works

Research topics

Which keywords describe Selda Güney's research?

The keywords of their largest research topics: Breath Analysis, Electronic Nose, Deep Learning, Gas Sensors, Metal Oxide, COVID-19, Medical Imaging and Fabric Defect Detection.

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 17 words, with their numbers
  1. Breath Analysis151 topic
  2. Electronic Nose151 topic
  3. Deep Learning132 topics
  4. Gas Sensors81 topic
  5. Metal Oxide81 topic
  6. COVID-1971 topic
  7. Medical Imaging71 topic
  8. Fabric Defect Detection61 topic
  9. Machine Vision61 topic
  10. Chiral Separation41 topic
  11. Ion-Selective Electrodes41 topic
  12. Liquid Chromatography41 topic
  13. Optical Sensors41 topic
  14. DNA Barcoding31 topic
  15. Food Authentication31 topic
  16. Meat Quality31 topic
  17. Protein Oxidation31 topic

Where does Selda Güney work?

Selda Güney's main affiliation in the publication record is Başkent University, Türkiye.

How many publications and citations does Selda Güney have?

OpenAlex counts 57 works and 652 citations for Selda Güney, an h-index of 15, ranking #2,894,099 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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