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Researcher · Hamedan University of Technology · Iran

Hamid Reza Shahdoosti

Hamid Reza Shahdoosti publishes mostly in Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, on topics such as Advanced Image Fusion Techniques, Image and Signal Denoising Methods and Remote-Sensing Image Classification.

ORCID 0000-0001-8112-6753 OpenAlex
World rank
#1,189,353
of 7,710,434 ranked researchers
Rank in Iran
#6,244
of 71,317
Works
48
Citations
937
Citations per work
19.5
h-index
15
i10-index 18Top 23% in Computer Vision and Pattern Recognition
Hamid Reza Shahdoosti

What does Hamid Reza Shahdoosti research?

Hamid Reza Shahdoosti's work is mostly in Computer Science (47%), Engineering (36%), Earth and Planetary Sciences (4%).

Physical Sciences: 42 works · 86.9% of their workComputer Science: 22 works · 46.6% of their workComputer Vision and Pattern Recognition: 19 works · 38.9% of their workArtificial Intelligence: 2 works · 4.9% of their workSignal Processing: 1 works · 2.8% of their workEngineering: 17 works · 36.1% of their workMedia Technology: 16 works · 33.3% of their workBiomedical Engineering: 1 works · 2.8% of their workEarth and Planetary Sciences: 2 works · 4.2% of their workAtmospheric Science: 2 works · 4.2% of their workEverything else: 6 works · 13.1% of their workTHEIR WORKHamid RezaShahdoosti48works
Physical Sciences87%

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 Science2246.6%
    2. Engineering1736.1%
    3. Earth and Planetary Sciences24.2%
  2. Everything else613.1%
  1. 1Computer Vision and Pattern Recognition39% of their works
  2. 2Media Technology33% of their works
  3. 3Artificial Intelligence5% of their works
  4. 4Atmospheric Science4% of their works
  5. 5Biomedical Engineering3% of their works
  6. 6Signal Processing3% of their works

Research topics

Which keywords describe Hamid Reza Shahdoosti's research?

The keywords of their largest research topics: Deep Learning, Remote Sensing, Wavelet Transform, Hyperspectral, Sparse Representation, Hyperspectral Imaging, Image Fusion and Multispectral.

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 24 words, with their numbers
  1. Deep Learning524 topics
  2. Remote Sensing523 topics
  3. Wavelet Transform522 topics
  4. Hyperspectral462 topics
  5. Sparse Representation403 topics
  6. Hyperspectral Imaging302 topics
  7. Image Fusion281 topic
  8. Multispectral281 topic
  9. Image Denoising241 topic
  10. Sparse Representations241 topic
  11. Support Vector Machines242 topics
  12. Classification181 topic
  13. Image Analysis181 topic
  14. Local Binary Patterns102 topics
  15. Dimensionality Reduction61 topic
  16. Earthquake Damage61 topic
  17. Face Recognition61 topic
  18. Geohazards61 topic
  19. Image61 topic
  20. Super-Resolution61 topic
  21. Content-Based Image Retrieval41 topic
  22. Contrast Enhancement41 topic
  23. Dehazing41 topic
  24. Shape Matching41 topic

Where does Hamid Reza Shahdoosti work?

Hamid Reza Shahdoosti's main affiliation in the publication record is Hamedan University of Technology, Iran.

How many publications and citations does Hamid Reza Shahdoosti have?

OpenAlex counts 48 works and 937 citations for Hamid Reza Shahdoosti, an h-index of 15, ranking #1,189,353 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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