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Researcher · Lexmark (United States) · United States

Mohamed Nooman Ahmed

Mohamed Nooman Ahmed publishes mostly in Computer Vision and Pattern Recognition, Media Technology and Atomic and Molecular Physics, and Optics, on topics such as Image Retrieval and Classification Techniques, Medical Image Segmentation Techniques and Handwritten Text Recognition Techniques.

OpenAlex
World rank
#4,094,147
of 7,710,434 ranked researchers
Rank in United States
#1,111,480
of 1,627,098
Works
23
Citations
284
Citations per work
12.3
h-index
6
i10-index 4Top 78% in Computer Vision and Pattern Recognition
Mohamed Nooman Ahmed

What does Mohamed Nooman Ahmed research?

Mohamed Nooman Ahmed's work is mostly in Computer Science (65%), Engineering (17%), Physics and Astronomy (6%).

Physical Sciences: 20 works · 87.8% of their workComputer Science: 15 works · 64.6% of their workComputer Vision and Pattern Recognition: 14 works · 61.5% of their workComputer Graphics and Computer-Aided Design: 1 works · 3.1% of their workEngineering: 4 works · 17.0% of their workMedia Technology: 2 works · 7.7% of their workIndustrial and Manufacturing Engineering: 1 works · 6.2% of their workBiomedical Engineering: 1 works · 3.1% of their workPhysics and Astronomy: 1 works · 6.2% of their workAtomic and Molecular Physics, and Optics: 1 works · 6.2% of their workEverything else: 3 works · 12.2% of their workTHEIR WORKMohamed NoomanAhmed23works
Physical Sciences88%

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 Science1564.6%
    2. Engineering417.0%
    3. Physics and Astronomy16.2%
  2. Everything else312.2%
  1. 1Computer Vision and Pattern Recognition62% of their works
  2. 2Media Technology8% of their works
  3. 3Atomic and Molecular Physics, and Optics6% of their works
  4. 4Industrial and Manufacturing Engineering6% of their works
  5. 5Biomedical Engineering3% of their works
  6. 6Computer Graphics and Computer-Aided Design3% of their works

Research topics

Which keywords describe Mohamed Nooman Ahmed's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Texture Analysis, Content-Based Image Retrieval, Machine Vision, Shape Matching, Convolutional Neural Networks and Image Processing.

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 22 words, with their numbers
  1. Deep Learning154 topics
  2. Neural Networks123 topics
  3. Texture Analysis92 topics
  4. Content-Based Image Retrieval81 topic
  5. Machine Vision82 topics
  6. Shape Matching81 topic
  7. Convolutional Neural Networks72 topics
  8. Image Processing72 topics
  9. Image Segmentation51 topic
  10. Medical Image Analysis51 topic
  11. Autofocusing41 topic
  12. Color Constancy41 topic
  13. Colorimetry41 topic
  14. Depth Estimation41 topic
  15. Fabric Defect Detection41 topic
  16. Handwriting Recognition41 topic
  17. Semiconductor Manufacturing41 topic
  18. Text Detection41 topic
  19. Contrast Enhancement31 topic
  20. Dehazing31 topic
  21. Image Denoising31 topic
  22. Sparse Representations31 topic

Where does Mohamed Nooman Ahmed work?

Mohamed Nooman Ahmed's main affiliation in the publication record is Lexmark (United States), United States.

How many publications and citations does Mohamed Nooman Ahmed have?

OpenAlex counts 23 works and 284 citations for Mohamed Nooman Ahmed, an h-index of 6, ranking #4,094,147 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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