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Researcher · Weizmann Institute of Science · Israel

Michal Irani

Michal Irani publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience, on topics such as Advanced Vision and Imaging, Advanced Image Processing Techniques and Advanced Image and Video Retrieval Techniques.

OpenAlex
World rank
#33,944
of 7,710,434 ranked researchers
Rank in Israel
#321
of 38,292
Works
115
Citations
15k
Citations per work
133.1
h-index
46
i10-index 77Top 1.5% in Computer Vision and Pattern Recognition
Michal Irani

What does Michal Irani research?

Michal Irani's work is mostly in Computer Science (68%), Neuroscience (8%), Engineering (8%).

Physical Sciences: 87 works · 75.5% of their workComputer Science: 78 works · 68.0% of their workComputer Vision and Pattern Recognition: 68 works · 59.3% of their workArtificial Intelligence: 10 works · 8.7% of their workEngineering: 9 works · 7.5% of their workMedia Technology: 9 works · 7.5% of their workLife Sciences: 12 works · 10.8% of their workNeuroscience: 9 works · 7.8% of their workCognitive Neuroscience: 9 works · 7.8% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 3.0% of their workBiophysics: 3 works · 3.0% of their workEverything else: 12 works · 10.4% of their workHealth Sciences: 4 works · 3.3% of their workMedicine: 4 works · 3.3% of their workRadiology, Nuclear Medicine and Imaging: 4 works · 3.3% of their workTHEIR WORKMichal Irani115works
Life Sciences11%Physical Sciences75%Health Sciences3%

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 Science7868.0%
    2. Engineering97.5%
    1. Neuroscience97.8%
    2. Biochemistry, Genetics and Molecular Biology33.0%
  3. Everything else1210.4%
    1. Medicine43.3%
  1. 1Computer Vision and Pattern Recognition59% of their works
  2. 2Artificial Intelligence9% of their works
  3. 3Cognitive Neuroscience8% of their works
  4. 4Media Technology8% of their works
  5. 5Radiology, Nuclear Medicine and Imaging3% of their works
  6. 6Biophysics3% of their works

Research topics

Which keywords describe Michal Irani's research?

The keywords of their largest research topics: Deep Learning, Convolutional Networks, Neural Networks, Depth Estimation, Unsupervised Learning, Generative Adversarial Networks, Optical Flow 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 22 words, with their numbers
  1. Deep Learning824 topics
  2. Convolutional Networks722 topics
  3. Neural Networks673 topics
  4. Depth Estimation592 topics
  5. Unsupervised Learning592 topics
  6. Generative Adversarial Networks492 topics
  7. Optical Flow411 topic
  8. Stereo Vision411 topic
  9. Image311 topic
  10. Super-Resolution311 topic
  11. Feature Matching191 topic
  12. Local Descriptors191 topic
  13. Autofocusing181 topic
  14. Image Inpainting181 topic
  15. Image Synthesis181 topic
  16. Microscopy181 topic
  17. Image Denoising141 topic
  18. Sparse Representations141 topic
  19. Content-Based Image Retrieval111 topic
  20. Content-Based Retrieval111 topic
  21. Shape Matching111 topic
  22. Video Summarization111 topic

Where does Michal Irani work?

Michal Irani's main affiliation in the publication record is Weizmann Institute of Science, Israel.

How many publications and citations does Michal Irani have?

OpenAlex counts 115 works and 15,312 citations for Michal Irani, an h-index of 46, ranking #33,944 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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