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Researcher · Australian National University · Australia

Fatih Porikli

Fatih Porikli publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, on topics such as Video Surveillance and Tracking Methods, Advanced Vision and Imaging and Advanced Image and Video Retrieval Techniques.

ORCID 0000-0002-1520-4466 OpenAlex
World rank
#29,383
of 7,710,434 ranked researchers
Rank in Australia
#817
of 140,210
Works
433
Citations
23k
Citations per work
53.6
h-index
71
i10-index 210Top 0.3% in Computer Vision and Pattern Recognition
Fatih Porikli

What does Fatih Porikli research?

Fatih Porikli's work is mostly in Computer Science (74%), Engineering (12%).

Physical Sciences: 371 works · 85.6% of their workComputer Science: 320 works · 73.8% of their workComputer Vision and Pattern Recognition: 273 works · 63.0% of their workArtificial Intelligence: 47 works · 10.8% of their workEngineering: 51 works · 11.8% of their workMedia Technology: 20 works · 4.7% of their workAerospace Engineering: 13 works · 3.0% of their workComputational Mechanics: 10 works · 2.3% of their workBiomedical Engineering: 8 works · 1.8% of their workEverything else: 62 works · 14.4% of their workTHEIR WORKFatih Porikli433works
Physical Sciences86%

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 Science32073.8%
    2. Engineering5111.8%
  2. Everything else6214.4%
  1. 1Computer Vision and Pattern Recognition63% of their works
  2. 2Artificial Intelligence11% of their works
  3. 3Media Technology5% of their works
  4. 4Aerospace Engineering3% of their works
  5. 5Computational Mechanics2% of their works
  6. 6Biomedical Engineering2% of their works

Research topics

Which keywords describe Fatih Porikli's research?

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

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 20 words, with their numbers
  1. Deep Learning4366 topics
  2. Convolutional Networks2343 topics
  3. Convolutional Neural Networks1842 topics
  4. Unsupervised Learning1532 topics
  5. Object Tracking1211 topic
  6. Visual Tracking1211 topic
  7. Depth Estimation1081 topic
  8. Stereo Vision1081 topic
  9. Feature Matching861 topic
  10. Local Descriptors861 topic
  11. Image691 topic
  12. Super-Resolution691 topic
  13. Image Recognition631 topic
  14. Object Detection631 topic
  15. Action Recognition571 topic
  16. Pose Estimation571 topic
  17. Domain Adaptation451 topic
  18. Transfer Learning451 topic
  19. Contrast Enhancement401 topic
  20. Dehazing401 topic

Where does Fatih Porikli work?

Fatih Porikli's main affiliation in the publication record is Australian National University, Australia.

How many publications and citations does Fatih Porikli have?

OpenAlex counts 433 works and 23,228 citations for Fatih Porikli, an h-index of 71, ranking #29,383 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.

Other researchers named Fatih Porikli

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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