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Researcher · Technische Universität Darmstadt · Germany

Osama Mohammed Afzal

Osama Mohammed Afzal publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Education, on topics such as Natural Language Processing Techniques, Topic Modeling and Handwritten Text Recognition Techniques.

ORCID 0000-0003-1918-9088 OpenAlex
World rank
#1,943,631
of 7,710,434 ranked researchers
Rank in Germany
#96,009
of 364,343
Works
19
Citations
178
Citations per work
9.4
h-index
7
i10-index 7Top 65% in Artificial Intelligence
Osama Mohammed Afzal

What does Osama Mohammed Afzal research?

Osama Mohammed Afzal's work is mostly in Computer Science (64%), Social Sciences (12%), Biochemistry, Genetics and Molecular Biology (2%).

Physical Sciences: 12 works · 64.2% of their workComputer Science: 12 works · 64.2% of their workArtificial Intelligence: 9 works · 47.6% of their workComputer Vision and Pattern Recognition: 2 works · 9.5% of their workInformation Systems: 1 works · 7.1% of their workEverything else: 4 works · 21.5% of their workSocial Sciences: 2 works · 11.9% of their workSocial Sciences: 2 works · 11.9% of their workEducation: 1 works · 7.1% of their workGeneral Social Sciences: 1 works · 4.8% of their workLife Sciences: 0 works · 2.4% of their workBiochemistry, Genetics and Molecular Biology: 0 works · 2.4% of their workMolecular Biology: 0 works · 2.4% of their workTHEIR WORKOsama MohammedAfzal19works
Life Sciences2%Physical Sciences64%Social Sciences12%

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 Science1264.2%
  2. Everything else421.5%
    1. Social Sciences211.9%
    1. Biochemistry, Genetics and Molecular Biology02.4%
  1. 1Artificial Intelligence48% of their works
  2. 2Computer Vision and Pattern Recognition10% of their works
  3. 3Education7% of their works
  4. 4Information Systems7% of their works
  5. 5General Social Sciences5% of their works
  6. 6Molecular Biology2% of their works

Research topics

Which keywords describe Osama Mohammed Afzal's research?

The keywords of their largest research topics: Neural Machine Translation, Neural Networks, Statistical Machine Translation, Topic Modeling, Machine Translation, Word Representation, Convolutional Neural Networks and Machine 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.

All 22 words, with their numbers
  1. Neural Machine Translation91 topic
  2. Neural Networks92 topics
  3. Statistical Machine Translation91 topic
  4. Topic Modeling82 topics
  5. Machine Translation61 topic
  6. Word Representation61 topic
  7. Convolutional Neural Networks42 topics
  8. Machine Learning43 topics
  9. Natural Language Processing43 topics
  10. Deep Learning33 topics
  11. Handwriting Recognition31 topic
  12. Text Detection31 topic
  13. Computational Text Analysis21 topic
  14. Social Science Research21 topic
  15. Biomedical Ontologies11 topic
  16. Detection11 topic
  17. Electronic Health Records11 topic
  18. Hate Speech11 topic
  19. Healthcare11 topic
  20. Histopathology Images11 topic
  21. Medical Image Analysis11 topic
  22. Text Mining11 topic

Where does Osama Mohammed Afzal work?

Osama Mohammed Afzal's main affiliation in the publication record is Technische Universität Darmstadt, Germany.

How many publications and citations does Osama Mohammed Afzal have?

OpenAlex counts 19 works and 178 citations for Osama Mohammed Afzal, an h-index of 7, ranking #1,943,631 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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