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Researcher · National Research University Higher School of Economics · Russia

Muhammad Shahid Iqbal Malik

Muhammad Shahid Iqbal Malik publishes mostly in Artificial Intelligence, Sociology and Political Science and Information Systems, on topics such as Sentiment Analysis and Opinion Mining, Hate Speech and Cyberbullying Detection and Digital Marketing and Social Media.

ORCID 0000-0001-8396-3344 OpenAlex
World rank
#349,614
of 7,710,434 ranked researchers
Rank in Russia
#706
of 179,717
Works
38
Citations
814
Citations per work
21.4
h-index
16
i10-index 17Top 20% in Artificial Intelligence
Muhammad Shahid Iqbal Malik

What does Muhammad Shahid Iqbal Malik research?

Muhammad Shahid Iqbal Malik's work is mostly in Computer Science (53%), Social Sciences (14%), Biochemistry, Genetics and Molecular Biology (3%).

Physical Sciences: 21 works · 55.8% of their workComputer Science: 20 works · 52.6% of their workArtificial Intelligence: 15 works · 40.0% of their workInformation Systems: 4 works · 10.5% of their workSignal Processing: 1 works · 2.1% of their workPhysics and Astronomy: 1 works · 3.2% of their workStatistical and Nonlinear Physics: 1 works · 3.2% of their workEverything else: 10 works · 27.3% of their workSocial Sciences: 5 works · 13.7% of their workSocial Sciences: 5 works · 13.7% of their workSociology and Political Science: 5 works · 13.7% of their workLife Sciences: 1 works · 3.2% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 3.2% of their workMolecular Biology: 1 works · 3.2% of their workTHEIR WORKMuhammad ShahidIqbal Malik38works
Life Sciences3%Physical Sciences56%Social Sciences14%

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 Science2052.6%
    2. Physics and Astronomy13.2%
  2. Everything else1027.3%
    1. Social Sciences513.7%
    1. Biochemistry, Genetics and Molecular Biology13.2%
  1. 1Artificial Intelligence40% of their works
  2. 2Sociology and Political Science14% of their works
  3. 3Information Systems10% of their works
  4. 4Statistical and Nonlinear Physics3% of their works
  5. 5Molecular Biology3% of their works
  6. 6Signal Processing2% of their works

Research topics

Which keywords describe Muhammad Shahid Iqbal Malik's research?

The keywords of their largest research topics: Social Media, Deep Learning, Machine Learning, Text Mining, Natural Language Processing, Opinion Mining, Sentiment Analysis and Detection.

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 23 words, with their numbers
  1. Social Media284 topics
  2. Deep Learning223 topics
  3. Machine Learning192 topics
  4. Text Mining122 topics
  5. Natural Language Processing112 topics
  6. Opinion Mining101 topic
  7. Sentiment Analysis101 topic
  8. Detection91 topic
  9. Hate Speech91 topic
  10. Information Retrieval82 topics
  11. Text Classification82 topics
  12. Consumer Engagement61 topic
  13. Electronic Word-of-Mouth61 topic
  14. Neural Networks51 topic
  15. Word Representation51 topic
  16. Electronic Health Records31 topic
  17. Fake News31 topic
  18. Feature Selection31 topic
  19. Healthcare31 topic
  20. Misinformation31 topic
  21. Multi-label Learning31 topic
  22. Biomedical Literature21 topic
  23. Biomedical Ontologies21 topic

Where does Muhammad Shahid Iqbal Malik work?

Muhammad Shahid Iqbal Malik's main affiliation in the publication record is National Research University Higher School of Economics, Russia.

How many publications and citations does Muhammad Shahid Iqbal Malik have?

OpenAlex counts 38 works and 814 citations for Muhammad Shahid Iqbal Malik, an h-index of 16, ranking #349,614 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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