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Researcher · Nile University · Egypt

Ensaf Hussein Mohamed

Ensaf Hussein Mohamed publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Topic Modeling, Sentiment Analysis and Opinion Mining and Advanced Text Analysis Techniques.

ORCID 0000-0002-1615-0236 OpenAlex
World rank
#1,733,747
of 7,710,434 ranked researchers
Rank in Egypt
#4,543
of 36,277
Works
52
Citations
440
Citations per work
8.5
h-index
12
i10-index 13Top 32% in Artificial Intelligence
Ensaf Hussein Mohamed

What does Ensaf Hussein Mohamed research?

Ensaf Hussein Mohamed's work is mostly in Computer Science (75%), Medicine (2%).

Physical Sciences: 39 works · 75.3% of their workComputer Science: 39 works · 75.3% of their workArtificial Intelligence: 29 works · 55.2% of their workComputer Vision and Pattern Recognition: 5 works · 9.7% of their workInformation Systems: 3 works · 5.5% of their workComputer Science Applications: 1 works · 2.8% of their workSignal Processing: 1 works · 2.1% of their workEverything else: 12 works · 22.6% of their workHealth Sciences: 1 works · 2.1% of their workMedicine: 1 works · 2.1% of their workHematology: 1 works · 2.1% of their workTHEIR WORKEnsaf HusseinMohamed52works
Physical Sciences75%Health Sciences2%

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 Science3975.3%
  2. Everything else1222.6%
    1. Medicine12.1%
  1. 1Artificial Intelligence55% of their works
  2. 2Computer Vision and Pattern Recognition10% of their works
  3. 3Information Systems6% of their works
  4. 4Computer Science Applications3% of their works
  5. 5Signal Processing2% of their works
  6. 6Hematology2% of their works

Research topics

Which keywords describe Ensaf Hussein Mohamed's research?

The keywords of their largest research topics: Neural Networks, Information Retrieval, Text Classification, Machine Learning, Deep Learning, Machine Translation, Word Representation and Opinion Mining.

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 23 words, with their numbers
  1. Neural Networks343 topics
  2. Information Retrieval242 topics
  3. Text Classification242 topics
  4. Machine Learning213 topics
  5. Deep Learning203 topics
  6. Machine Translation181 topic
  7. Word Representation181 topic
  8. Opinion Mining131 topic
  9. Sentiment Analysis131 topic
  10. Automatic121 topic
  11. Extraction121 topic
  12. Neural Machine Translation111 topic
  13. Statistical Machine Translation111 topic
  14. Convolutional Neural Networks82 topics
  15. Medical Image Analysis82 topics
  16. Feature Selection61 topic
  17. Multi-label Learning61 topic
  18. Leukemia Classification51 topic
  19. Malaria Parasite Detection51 topic
  20. Image Captioning41 topic
  21. Visual Question Answering41 topic
  22. Computer-Aided Detection31 topic
  23. Histopathology Images31 topic

Where does Ensaf Hussein Mohamed work?

Ensaf Hussein Mohamed's main affiliation in the publication record is Nile University, Egypt.

How many publications and citations does Ensaf Hussein Mohamed have?

OpenAlex counts 52 works and 440 citations for Ensaf Hussein Mohamed, an h-index of 12, ranking #1,733,747 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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