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Researcher · University of Peshawar · Pakistan

Mohammad Abid Khan

Mohammad Abid Khan publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Natural Language Processing Techniques, Topic Modeling and Sentiment Analysis and Opinion Mining.

OpenAlex
World rank
#4,035,782
of 7,710,434 ranked researchers
Rank in Pakistan
#15,135
of 32,975
Works
39
Citations
429
Citations per work
11.0
h-index
9
i10-index 9Top 49% in Artificial Intelligence
Mohammad Abid Khan

What does Mohammad Abid Khan research?

Mohammad Abid Khan's work is mostly in Computer Science (86%), Arts and Humanities (3%), Biochemistry, Genetics and Molecular Biology (2%).

Physical Sciences: 33 works · 85.6% of their workComputer Science: 33 works · 85.6% of their workArtificial Intelligence: 30 works · 77.5% of their workInformation Systems: 2 works · 5.4% of their workComputer Vision and Pattern Recognition: 1 works · 2.7% of their workEverything else: 3 works · 8.1% of their workSocial Sciences: 2 works · 4.5% of their workArts and Humanities: 1 works · 2.7% of their workLanguage and Linguistics: 1 works · 2.7% of their workDecision Sciences: 1 works · 1.8% of their workManagement Science and Operations Research: 1 works · 1.8% of their workLife Sciences: 1 works · 1.8% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 1.8% of their workMolecular Biology: 1 works · 1.8% of their workTHEIR WORKMohammad AbidKhan39works
Life Sciences2%Physical Sciences86%Social Sciences4%

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 Science3385.6%
  2. Everything else38.1%
    1. Arts and Humanities12.7%
    2. Decision Sciences11.8%
    1. Biochemistry, Genetics and Molecular Biology11.8%
  1. 1Artificial Intelligence78% of their works
  2. 2Information Systems5% of their works
  3. 3Computer Vision and Pattern Recognition3% of their works
  4. 4Language and Linguistics3% of their works
  5. 5Management Science and Operations Research2% of their works
  6. 6Molecular Biology2% of their works

Research topics

Which keywords describe Mohammad Abid Khan's research?

The keywords of their largest research topics: Neural Networks, Information Retrieval, Neural Machine Translation, Statistical Machine Translation, Text Classification, 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 19 words, with their numbers
  1. Neural Networks262 topics
  2. Information Retrieval232 topics
  3. Neural Machine Translation231 topic
  4. Statistical Machine Translation231 topic
  5. Text Classification232 topics
  6. Machine Translation181 topic
  7. Word Representation181 topic
  8. Opinion Mining91 topic
  9. Sentiment Analysis91 topic
  10. Automatic81 topic
  11. Extraction81 topic
  12. Markov Decision Processes61 topic
  13. Ontology61 topic
  14. Semantic Web61 topic
  15. Spoken Dialogue Systems61 topic
  16. Feature Selection51 topic
  17. Multi-label Learning51 topic
  18. Compression31 topic
  19. Suffix Arrays31 topic

Where does Mohammad Abid Khan work?

Mohammad Abid Khan's main affiliation in the publication record is University of Peshawar, Pakistan.

How many publications and citations does Mohammad Abid Khan have?

OpenAlex counts 39 works and 429 citations for Mohammad Abid Khan, an h-index of 9, ranking #4,035,782 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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