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Researcher · Koç University · Türkiye

Fatma Güney

Fatma Güney publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering, on topics such as Advanced Vision and Imaging, Video Surveillance and Tracking Methods and Advanced Image and Video Retrieval Techniques.

ORCID 0000-0002-0358-983X OpenAlex
World rank
#947,166
of 7,710,434 ranked researchers
Rank in Türkiye
#3,196
of 117,622
Works
71
Citations
2k
Citations per work
28.4
h-index
13
i10-index 14Top 30% in Computer Vision and Pattern Recognition
Fatma Güney

What does Fatma Güney research?

Fatma Güney's work is mostly in Computer Science (64%), Engineering (15%), Physics and Astronomy (2%).

Physical Sciences: 58 works · 82.0% of their workComputer Science: 46 works · 64.5% of their workComputer Vision and Pattern Recognition: 36 works · 51.0% of their workArtificial Intelligence: 10 works · 13.5% of their workEngineering: 11 works · 15.0% of their workAutomotive Engineering: 4 works · 6.0% of their workMedia Technology: 4 works · 5.5% of their workAerospace Engineering: 2 works · 3.5% of their workPhysics and Astronomy: 2 works · 2.5% of their workAstronomy and Astrophysics: 2 works · 2.5% of their workEverything else: 13 works · 18.0% of their workTHEIR WORKFatma Güney71works
Physical Sciences82%

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 Science4664.5%
    2. Engineering1115.0%
    3. Physics and Astronomy22.5%
  2. Everything else1318.0%
  1. 1Computer Vision and Pattern Recognition51% of their works
  2. 2Artificial Intelligence14% of their works
  3. 3Automotive Engineering6% of their works
  4. 4Media Technology6% of their works
  5. 5Aerospace Engineering4% of their works
  6. 6Astronomy and Astrophysics2% of their works

Research topics

Which keywords describe Fatma Güney's research?

The keywords of their largest research topics: Deep Learning, Depth Estimation, Unsupervised Learning, Convolutional Neural Networks, Optical Flow, Stereo Vision, Neural Networks and Object Tracking.

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 21 words, with their numbers
  1. Deep Learning545 topics
  2. Depth Estimation292 topics
  3. Unsupervised Learning262 topics
  4. Convolutional Neural Networks242 topics
  5. Optical Flow191 topic
  6. Stereo Vision191 topic
  7. Neural Networks162 topics
  8. Object Tracking131 topic
  9. Visual Tracking131 topic
  10. Autonomous Vehicles121 topic
  11. Feature Matching121 topic
  12. Local Descriptors121 topic
  13. Trajectory Prediction121 topic
  14. Image Recognition111 topic
  15. Object Detection111 topic
  16. Autofocusing101 topic
  17. Microscopy101 topic
  18. Domain Adaptation71 topic
  19. Transfer Learning71 topic
  20. Anomaly Detection61 topic
  21. Unsupervised61 topic

Where does Fatma Güney work?

Fatma Güney's main affiliation in the publication record is Koç University, Türkiye.

How many publications and citations does Fatma Güney have?

OpenAlex counts 71 works and 2,019 citations for Fatma Güney, an h-index of 13, ranking #947,166 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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