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Researcher · Gomal University · Pakistan

Muhammad Zubair Asghar

Muhammad Zubair Asghar publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Sentiment Analysis and Opinion Mining, Advanced Text Analysis Techniques and Spam and Phishing Detection.

ORCID 0000-0003-3196-7823 OpenAlex
World rank
#363,746
of 7,710,434 ranked researchers
Rank in Pakistan
#1,058
of 32,975
Works
106
Citations
2k
Citations per work
19.1
h-index
25
i10-index 45Top 7.8% in Artificial Intelligence
Muhammad Zubair Asghar

What does Muhammad Zubair Asghar research?

Muhammad Zubair Asghar's work is mostly in Computer Science (59%), Health Professions (3%).

Physical Sciences: 62 works · 58.8% of their workComputer Science: 62 works · 58.8% of their workArtificial Intelligence: 36 works · 33.6% of their workInformation Systems: 15 works · 13.7% of their workComputer Vision and Pattern Recognition: 6 works · 5.3% of their workComputer Networks and Communications: 3 works · 3.1% of their workSoftware: 3 works · 3.1% of their workEverything else: 40 works · 37.8% of their workHealth Sciences: 4 works · 3.4% of their workHealth Professions: 4 works · 3.4% of their workHealth Information Management: 4 works · 3.4% of their workTHEIR WORKMuhammad ZubairAsghar106works
Physical Sciences59%Health Sciences3%

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 Science6258.8%
  2. Everything else4037.8%
    1. Health Professions43.4%
  1. 1Artificial Intelligence34% of their works
  2. 2Information Systems14% of their works
  3. 3Computer Vision and Pattern Recognition5% of their works
  4. 4Health Information Management3% of their works
  5. 5Computer Networks and Communications3% of their works
  6. 6Software3% of their works

Research topics

Which keywords describe Muhammad Zubair Asghar's research?

The keywords of their largest research topics: Machine Learning, Social Media, Opinion Mining, Sentiment Analysis, Neural Networks, Automatic, Extraction and Feature Selection.

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. Machine Learning615 topics
  2. Social Media372 topics
  3. Opinion Mining311 topic
  4. Sentiment Analysis311 topic
  5. Neural Networks272 topics
  6. Automatic201 topic
  7. Extraction201 topic
  8. Feature Selection162 topics
  9. Information Retrieval152 topics
  10. Text Classification152 topics
  11. Phishing101 topic
  12. Spam Detection101 topic
  13. Big Data Analytics81 topic
  14. Healthcare81 topic
  15. Multi-label Learning81 topic
  16. Naive Bayes Classifier81 topic
  17. Machine Translation71 topic
  18. Word Representation71 topic
  19. Code Clone Detection61 topic
  20. Emotional Disclosure61 topic
  21. Psychological Language Analysis61 topic
  22. Refactoring61 topic

Where does Muhammad Zubair Asghar work?

Muhammad Zubair Asghar's main affiliation in the publication record is Gomal University, Pakistan.

How many publications and citations does Muhammad Zubair Asghar have?

OpenAlex counts 106 works and 2,020 citations for Muhammad Zubair Asghar, an h-index of 25, ranking #363,746 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.

Other researchers named Muhammad Zubair Asghar

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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