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Researcher · Tishk International University · Iraq

Abubakar Muhammad Ashir

Abubakar Muhammad Ashir publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering, on topics such as Face and Expression Recognition, Handwritten Text Recognition Techniques and Advanced Computing and Algorithms.

ORCID 0000-0003-4009-8463 OpenAlex
World rank
#4,618,016
of 7,710,434 ranked researchers
Rank in Iraq
#2,789
of 9,225
Works
30
Citations
290
Citations per work
9.7
h-index
9
i10-index 9Top 52% in Computer Vision and Pattern Recognition
Abubakar Muhammad Ashir

What does Abubakar Muhammad Ashir research?

Abubakar Muhammad Ashir's work is mostly in Computer Science (56%), Engineering (12%), Social Sciences (5%).

Physical Sciences: 20 works · 68.0% of their workComputer Science: 17 works · 56.0% of their workComputer Vision and Pattern Recognition: 13 works · 41.7% of their workArtificial Intelligence: 4 works · 11.9% of their workComputer Networks and Communications: 1 works · 2.4% of their workEngineering: 4 works · 12.0% of their workControl and Systems Engineering: 2 works · 6.0% of their workMedia Technology: 2 works · 6.0% of their workEverything else: 8 works · 27.2% of their workSocial Sciences: 1 works · 4.8% of their workSocial Sciences: 1 works · 4.8% of their workUrban Studies: 1 works · 4.8% of their workTHEIR WORKAbubakar MuhammadAshir30works
Physical Sciences68%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 Science1756.0%
    2. Engineering412.0%
  2. Everything else827.2%
    1. Social Sciences14.8%
  1. 1Computer Vision and Pattern Recognition42% of their works
  2. 2Artificial Intelligence12% of their works
  3. 3Control and Systems Engineering6% of their works
  4. 4Media Technology6% of their works
  5. 5Urban Studies5% of their works
  6. 6Computer Networks and Communications2% of their works

Research topics

Which keywords describe Abubakar Muhammad Ashir's research?

The keywords of their largest research topics: Local Binary Patterns, Convolutional Neural Networks, Dimensionality Reduction, Face Recognition, Neural Networks, Deep Learning, Machine Learning 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.

All 22 words, with their numbers
  1. Local Binary Patterns102 topics
  2. Convolutional Neural Networks72 topics
  3. Dimensionality Reduction71 topic
  4. Face Recognition71 topic
  5. Neural Networks72 topics
  6. Deep Learning62 topics
  7. Machine Learning62 topics
  8. Hyperspectral Imaging52 topics
  9. Handwriting Recognition41 topic
  10. Spatial Network Analysis41 topic
  11. Text Detection41 topic
  12. Urban Structure41 topic
  13. Automatic31 topic
  14. Content-Based Image Retrieval31 topic
  15. Extraction31 topic
  16. Image Denoising31 topic
  17. Opinion Mining31 topic
  18. Sentiment Analysis31 topic
  19. Shape Matching31 topic
  20. Sparse Representations31 topic
  21. Multivariate Calibration21 topic
  22. Near-Infrared Spectroscopy21 topic

Where does Abubakar Muhammad Ashir work?

Abubakar Muhammad Ashir's main affiliation in the publication record is Tishk International University, Iraq.

How many publications and citations does Abubakar Muhammad Ashir have?

OpenAlex counts 30 works and 290 citations for Abubakar Muhammad Ashir, an h-index of 9, ranking #4,618,016 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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