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Researcher · Middle Technical University · Iraq

Inas Jawad Kadhim

Inas Jawad Kadhim publishes mostly in Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Radiology, Nuclear Medicine and Imaging, on topics such as Advanced Steganography and Watermarking Techniques, Chaos-based Image/Signal Encryption and Digital Media Forensic Detection.

ORCID 0000-0001-9404-5653 OpenAlex
World rank
#3,037,855
of 7,710,434 ranked researchers
Rank in Iraq
#1,491
of 9,225
Works
25
Citations
745
Citations per work
29.8
h-index
9
i10-index 9Top 52% in Computer Vision and Pattern Recognition
Inas Jawad Kadhim

What does Inas Jawad Kadhim research?

Inas Jawad Kadhim's work is mostly in Computer Science (61%), Engineering (10%), Medicine (6%).

Physical Sciences: 18 works · 70.9% of their workComputer Science: 15 works · 60.8% of their workComputer Vision and Pattern Recognition: 13 works · 53.6% of their workSignal Processing: 1 works · 4.3% of their workArtificial Intelligence: 1 works · 2.9% of their workEngineering: 3 works · 10.1% of their workElectrical and Electronic Engineering: 1 works · 5.8% of their workAerospace Engineering: 1 works · 4.3% of their workEverything else: 6 works · 23.3% of their workHealth Sciences: 1 works · 5.8% of their workMedicine: 1 works · 5.8% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 5.8% of their workTHEIR WORKInas Jawad Kadhim25works
Physical Sciences71%Health Sciences6%

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 Science1560.8%
    2. Engineering310.1%
  2. Everything else623.3%
    1. Medicine15.8%
  1. 1Computer Vision and Pattern Recognition54% of their works
  2. 2Electrical and Electronic Engineering6% of their works
  3. 3Radiology, Nuclear Medicine and Imaging6% of their works
  4. 4Signal Processing4% of their works
  5. 5Aerospace Engineering4% of their works
  6. 6Artificial Intelligence3% of their works

Research topics

Which keywords describe Inas Jawad Kadhim's research?

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

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 19 words, with their numbers
  1. Deep Learning245 topics
  2. Reversible Data Embedding101 topic
  3. Steganography101 topic
  4. Chaos71 topic
  5. Digital Forensics71 topic
  6. Image Encryption71 topic
  7. Image Forgery Detection71 topic
  8. Hyperspectral Imaging52 topics
  9. Convolutional Neural Networks42 topics
  10. JPEG200031 topic
  11. Wavelet Compression31 topic
  12. Acoustic Modeling21 topic
  13. Audio-Visual Speech Recognition21 topic
  14. Deep Neural Networks21 topic
  15. Depth Estimation21 topic
  16. Image Denoising21 topic
  17. Sparse Representations21 topic
  18. Speech Enhancement21 topic
  19. Stereo Vision21 topic

Where does Inas Jawad Kadhim work?

Inas Jawad Kadhim's main affiliation in the publication record is Middle Technical University, Iraq.

How many publications and citations does Inas Jawad Kadhim have?

OpenAlex counts 25 works and 745 citations for Inas Jawad Kadhim, an h-index of 9, ranking #3,037,855 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.

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