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Researcher · Information Technology University · Pakistan

Farooq Zaman

Farooq Zaman publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics, on topics such as Topic Modeling, Natural Language Processing Techniques and Advanced Text Analysis Techniques.

ORCID 0000-0002-9861-4013 OpenAlex
World rank
#3,286,134
of 7,710,434 ranked researchers
Rank in Pakistan
#11,880
of 32,975
Works
17
Citations
194
Citations per work
11.4
h-index
8
i10-index 7Top 56% in Artificial Intelligence
Farooq Zaman

What does Farooq Zaman research?

Farooq Zaman's work is mostly in Computer Science (86%), Physics and Astronomy (6%), Medicine (2%).

Physical Sciences: 16 works · 92.1% of their workComputer Science: 15 works · 86.2% of their workArtificial Intelligence: 10 works · 58.8% of their workComputer Vision and Pattern Recognition: 3 works · 19.6% of their workInformation Systems: 1 works · 3.9% of their workSignal Processing: 1 works · 3.9% of their workPhysics and Astronomy: 1 works · 5.9% of their workAtomic and Molecular Physics, and Optics: 1 works · 5.9% of their workEverything else: 1 works · 5.9% of their workHealth Sciences: 0 works · 2.0% of their workMedicine: 0 works · 2.0% of their workRadiology, Nuclear Medicine and Imaging: 0 works · 2.0% of their workTHEIR WORKFarooq Zaman17works
Physical Sciences92%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 Science1586.2%
    2. Physics and Astronomy15.9%
  2. Everything else15.9%
    1. Medicine02.0%
  1. 1Artificial Intelligence59% of their works
  2. 2Computer Vision and Pattern Recognition20% of their works
  3. 3Atomic and Molecular Physics, and Optics6% of their works
  4. 4Information Systems4% of their works
  5. 5Signal Processing4% of their works
  6. 6Radiology, Nuclear Medicine and Imaging2% of their works

Research topics

Which keywords describe Farooq Zaman's research?

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

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 20 words, with their numbers
  1. Neural Networks214 topics
  2. Information Retrieval122 topics
  3. Text Classification122 topics
  4. Machine Translation101 topic
  5. Word Representation101 topic
  6. Neural Machine Translation71 topic
  7. Statistical Machine Translation71 topic
  8. Deep Learning62 topics
  9. Automatic51 topic
  10. Extraction51 topic
  11. Image Captioning41 topic
  12. Visual Question Answering41 topic
  13. Domain Adaptation21 topic
  14. Feature Matching21 topic
  15. Feature Selection21 topic
  16. Local Descriptors21 topic
  17. Multi-label Learning21 topic
  18. Readability Assessment21 topic
  19. Text Simplification21 topic
  20. Transfer Learning21 topic

Where does Farooq Zaman work?

Farooq Zaman's main affiliation in the publication record is Information Technology University, Pakistan.

How many publications and citations does Farooq Zaman have?

OpenAlex counts 17 works and 194 citations for Farooq Zaman, an h-index of 8, ranking #3,286,134 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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