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Researcher · Electronics Research Institute · Egypt

Heba Ahmed Elnemr

Heba Ahmed Elnemr publishes mostly in Computer Vision and Pattern Recognition, Media Technology and Radiology, Nuclear Medicine and Imaging, on topics such as Advanced Image and Video Retrieval Techniques, Image and Signal Denoising Methods and Image Retrieval and Classification Techniques.

ORCID 0000-0001-9637-6982 OpenAlex
World rank
#2,791,384
of 7,710,434 ranked researchers
Rank in Egypt
#8,353
of 36,277
Works
22
Citations
519
Citations per work
23.6
h-index
11
i10-index 11Top 39% in Computer Vision and Pattern Recognition
Heba Ahmed Elnemr

What does Heba Ahmed Elnemr research?

Heba Ahmed Elnemr's work is mostly in Computer Science (40%), Engineering (23%), Medicine (12%).

Physical Sciences: 14 works · 63.0% of their workComputer Science: 9 works · 40.0% of their workComputer Vision and Pattern Recognition: 8 works · 35.4% of their workArtificial Intelligence: 1 works · 4.6% of their workEngineering: 5 works · 23.0% of their workMedia Technology: 3 works · 13.8% of their workControl and Systems Engineering: 2 works · 9.2% of their workEverything else: 4 works · 18.5% of their workHealth Sciences: 3 works · 12.3% of their workMedicine: 3 works · 12.3% of their workRadiology, Nuclear Medicine and Imaging: 3 works · 12.3% of their workLife Sciences: 1 works · 6.2% of their workAgricultural and Biological Sciences: 1 works · 6.2% of their workPlant Science: 1 works · 6.2% of their workTHEIR WORKHeba Ahmed Elnemr22works
Life Sciences6%Physical Sciences63%Health Sciences12%

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 Science940.0%
    2. Engineering523.0%
  2. Everything else418.5%
    1. Medicine312.3%
    1. Agricultural and Biological Sciences16.2%
  1. 1Computer Vision and Pattern Recognition35% of their works
  2. 2Media Technology14% of their works
  3. 3Radiology, Nuclear Medicine and Imaging12% of their works
  4. 4Control and Systems Engineering9% of their works
  5. 5Plant Science6% of their works
  6. 6Artificial Intelligence5% of their works

Research topics

Which keywords describe Heba Ahmed Elnemr's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Hyperspectral, Remote Sensing, Wavelet Transform, Convolutional Neural Networks, Classification and Content-Based Image Retrieval.

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 Learning175 topics
  2. Machine Learning134 topics
  3. Hyperspectral82 topics
  4. Remote Sensing82 topics
  5. Wavelet Transform82 topics
  6. Convolutional Neural Networks72 topics
  7. Classification41 topic
  8. Content-Based Image Retrieval41 topic
  9. Feature Matching41 topic
  10. Image Analysis41 topic
  11. Image Denoising41 topic
  12. Image Fusion41 topic
  13. Local Descriptors41 topic
  14. Medical Imaging41 topic
  15. Multispectral41 topic
  16. Radiomics41 topic
  17. Shape Matching41 topic
  18. Sparse Representations41 topic
  19. Histopathology Images31 topic
  20. Medical Image Analysis31 topic
  21. Plant Disease Detection21 topic
  22. Smart Farming21 topic

Where does Heba Ahmed Elnemr work?

Heba Ahmed Elnemr's main affiliation in the publication record is Electronics Research Institute, Egypt.

How many publications and citations does Heba Ahmed Elnemr have?

OpenAlex counts 22 works and 519 citations for Heba Ahmed Elnemr, an h-index of 11, ranking #2,791,384 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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