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Researcher · Middle Technical University · Iraq

Mustafa Sabah Taha

Mustafa Sabah Taha publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, on topics such as Advanced Steganography and Watermarking Techniques, Chaos-based Image/Signal Encryption and Digital Media Forensic Detection.

ORCID 0000-0002-4693-5325 OpenAlex
World rank
#3,532,163
of 7,710,434 ranked researchers
Rank in Iraq
#1,805
of 9,225
Works
27
Citations
347
Citations per work
12.9
h-index
9
i10-index 9Top 52% in Computer Vision and Pattern Recognition
Mustafa Sabah Taha

What does Mustafa Sabah Taha research?

Mustafa Sabah Taha's work is mostly in Computer Science (58%), Engineering (9%), Physics and Astronomy (4%).

Physical Sciences: 19 works · 71.5% of their workComputer Science: 16 works · 58.5% of their workComputer Vision and Pattern Recognition: 9 works · 35.1% of their workArtificial Intelligence: 4 works · 13.0% of their workComputer Networks and Communications: 3 works · 10.4% of their workEngineering: 2 works · 9.1% of their workElectrical and Electronic Engineering: 1 works · 5.2% of their workControl and Systems Engineering: 1 works · 3.9% of their workPhysics and Astronomy: 1 works · 3.9% of their workStatistical and Nonlinear Physics: 1 works · 3.9% of their workEverything else: 8 works · 28.5% of their workTHEIR WORKMustafa SabahTaha27works
Physical Sciences72%

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 Science1658.5%
    2. Engineering29.1%
    3. Physics and Astronomy13.9%
  2. Everything else828.5%
  1. 1Computer Vision and Pattern Recognition35% of their works
  2. 2Artificial Intelligence13% of their works
  3. 3Computer Networks and Communications10% of their works
  4. 4Electrical and Electronic Engineering5% of their works
  5. 5Statistical and Nonlinear Physics4% of their works
  6. 6Control and Systems Engineering4% of their works

Research topics

Which keywords describe Mustafa Sabah Taha's research?

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

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 21 words, with their numbers
  1. Deep Learning245 topics
  2. Reversible Data Embedding101 topic
  3. Steganography101 topic
  4. Chaos91 topic
  5. Image Encryption91 topic
  6. Digital Forensics71 topic
  7. Image Forgery Detection71 topic
  8. Machine Learning63 topics
  9. Anomaly Detection52 topics
  10. Cybersecurity42 topics
  11. Wireless Sensor Networks42 topics
  12. Outlier Detection31 topic
  13. Unsupervised31 topic
  14. Classification21 topic
  15. Energy-Efficient Protocols21 topic
  16. Internet Traffic21 topic
  17. Internet of Things21 topic
  18. Intrusion Detection21 topic
  19. Network Security21 topic
  20. Routing Techniques21 topic
  21. Security21 topic

Where does Mustafa Sabah Taha work?

Mustafa Sabah Taha's main affiliation in the publication record is Middle Technical University, Iraq.

How many publications and citations does Mustafa Sabah Taha have?

OpenAlex counts 27 works and 347 citations for Mustafa Sabah Taha, an h-index of 9, ranking #3,532,163 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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