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Researcher · Alzahra University · Iran

Vajiheh Sabeti

Vajiheh Sabeti publishes mostly in Computer Vision and Pattern Recognition, Mechanical Engineering and Artificial Intelligence, on topics such as Advanced Steganography and Watermarking Techniques, Digital Media Forensic Detection and Chaos-based Image/Signal Encryption.

ORCID 0000-0002-9985-9143 OpenAlex
World rank
#1,927,044
of 7,710,434 ranked researchers
Rank in Iran
#11,042
of 71,317
Works
23
Citations
530
Citations per work
23.0
h-index
8
i10-index 7Top 60% in Computer Vision and Pattern Recognition
Vajiheh Sabeti

What does Vajiheh Sabeti research?

Vajiheh Sabeti's work is mostly in Computer Science (61%), Engineering (12%), Medicine (6%).

Physical Sciences: 17 works · 73.4% of their workComputer Science: 14 works · 60.9% of their workComputer Vision and Pattern Recognition: 11 works · 46.9% of their workArtificial Intelligence: 3 works · 10.9% of their workInformation Systems: 1 works · 3.1% of their workEngineering: 3 works · 12.5% of their workMechanical Engineering: 3 works · 12.5% of their workEverything else: 4 works · 15.6% of their workHealth Sciences: 1 works · 6.3% of their workMedicine: 1 works · 6.3% of their workPediatrics, Perinatology and Child Health: 1 works · 6.3% of their workSocial Sciences: 1 works · 4.7% of their workPsychology: 1 works · 4.7% of their workExperimental and Cognitive Psychology: 1 works · 4.7% of their workTHEIR WORKVajiheh Sabeti23works
Physical Sciences73%Health Sciences6%Social Sciences5%

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 Science1460.9%
    2. Engineering312.5%
  2. Everything else415.6%
    1. Medicine16.3%
    1. Psychology14.7%
  1. 1Computer Vision and Pattern Recognition47% of their works
  2. 2Mechanical Engineering12% of their works
  3. 3Artificial Intelligence11% of their works
  4. 4Pediatrics, Perinatology and Child Health6% of their works
  5. 5Experimental and Cognitive Psychology5% of their works
  6. 6Information Systems3% of their works

Research topics

Which keywords describe Vajiheh Sabeti's research?

The keywords of their largest research topics: Deep Learning, Reversible Data Embedding, Steganography, Digital Forensics, Image Forgery Detection, Chaos, Convolutional Neural Networks and Image Encryption.

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 18 words, with their numbers
  1. Deep Learning255 topics
  2. Reversible Data Embedding111 topic
  3. Steganography111 topic
  4. Digital Forensics61 topic
  5. Image Forgery Detection61 topic
  6. Chaos51 topic
  7. Convolutional Neural Networks52 topics
  8. Image Encryption51 topic
  9. Organic Rankine Cycle41 topic
  10. Waste Heat Recovery41 topic
  11. Acoustic Modeling31 topic
  12. Deep Neural Networks31 topic
  13. Emotion Recognition31 topic
  14. JPEG200031 topic
  15. Multimodal Data31 topic
  16. Wavelet Compression31 topic
  17. Image Recognition21 topic
  18. Object Detection21 topic

Where does Vajiheh Sabeti work?

Vajiheh Sabeti's main affiliation in the publication record is Alzahra University, Iran.

How many publications and citations does Vajiheh Sabeti have?

OpenAlex counts 23 works and 530 citations for Vajiheh Sabeti, an h-index of 8, ranking #1,927,044 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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