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Researcher · National University of Malaysia · Malaysia

Sumaia Mohammed Al-Ghuribi

Sumaia Mohammed Al-Ghuribi publishes mostly in Artificial Intelligence, Information Systems and Computer Networks and Communications, on topics such as Recommender Systems and Techniques, Sentiment Analysis and Opinion Mining and Advanced Text Analysis Techniques.

ORCID 0000-0001-9714-9677 OpenAlex
World rank
#1,128,608
of 7,710,434 ranked researchers
Rank in Malaysia
#4,000
of 41,196
Works
30
Citations
372
Citations per work
12.4
h-index
10
i10-index 10Top 42% in Artificial Intelligence
Sumaia Mohammed Al-Ghuribi

What does Sumaia Mohammed Al-Ghuribi research?

Sumaia Mohammed Al-Ghuribi's work is mostly in Computer Science (74%), Social Sciences (5%), Biochemistry, Genetics and Molecular Biology (4%).

Physical Sciences: 22 works · 74.5% of their workComputer Science: 22 works · 74.5% of their workArtificial Intelligence: 11 works · 37.2% of their workInformation Systems: 8 works · 27.9% of their workComputer Networks and Communications: 1 works · 4.7% of their workComputer Vision and Pattern Recognition: 1 works · 4.7% of their workEverything else: 5 works · 17.3% of their workSocial Sciences: 1 works · 4.7% of their workSocial Sciences: 1 works · 4.7% of their workSociology and Political Science: 1 works · 4.7% of their workLife Sciences: 1 works · 3.5% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 3.5% of their workMolecular Biology: 1 works · 3.5% of their workTHEIR WORKSumaia MohammedAl-Ghuribi30works
Life Sciences4%Physical Sciences74%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 Science2274.5%
  2. Everything else517.3%
    1. Social Sciences14.7%
    1. Biochemistry, Genetics and Molecular Biology13.5%
  1. 1Artificial Intelligence37% of their works
  2. 2Information Systems28% of their works
  3. 3Computer Networks and Communications5% of their works
  4. 4Computer Vision and Pattern Recognition5% of their works
  5. 5Sociology and Political Science5% of their works
  6. 6Molecular Biology4% of their works

Research topics

Which keywords describe Sumaia Mohammed Al-Ghuribi's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Information Retrieval, Machine Learning, Collaborative Filtering, Matrix Factorization, Opinion Mining and Sentiment Analysis.

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 21 words, with their numbers
  1. Deep Learning192 topics
  2. Neural Networks183 topics
  3. Information Retrieval123 topics
  4. Machine Learning122 topics
  5. Collaborative Filtering101 topic
  6. Matrix Factorization101 topic
  7. Opinion Mining91 topic
  8. Sentiment Analysis91 topic
  9. Text Classification82 topics
  10. Automatic51 topic
  11. Extraction51 topic
  12. Feature Selection51 topic
  13. Multi-label Learning51 topic
  14. Web Crawling41 topic
  15. Web Data Extraction41 topic
  16. Compression31 topic
  17. Machine Translation31 topic
  18. Phishing31 topic
  19. Spam Detection31 topic
  20. Suffix Arrays31 topic
  21. Word Representation31 topic

Where does Sumaia Mohammed Al-Ghuribi work?

Sumaia Mohammed Al-Ghuribi's main affiliation in the publication record is National University of Malaysia, Malaysia.

How many publications and citations does Sumaia Mohammed Al-Ghuribi have?

OpenAlex counts 30 works and 372 citations for Sumaia Mohammed Al-Ghuribi, an h-index of 10, ranking #1,128,608 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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