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Researcher · Language Science (South Korea) · South Korea

Amr Keleg

Amr Keleg publishes mostly in Artificial Intelligence, Language and Linguistics and Computer Vision and Pattern Recognition, on topics such as Natural Language Processing Techniques, Topic Modeling and Authorship Attribution and Profiling.

ORCID 0000-0001-5772-9626 OpenAlex
World rank
#5,434,780
of 7,710,434 ranked researchers
Rank in South Korea
#99,217
of 162,609
Works
18
Citations
36
Citations per work
2.0
h-index
3
i10-index 1Top 95% in Artificial Intelligence
Amr Keleg

What does Amr Keleg research?

Amr Keleg's work is mostly in Computer Science (91%), Arts and Humanities (8%), Social Sciences (2%).

Physical Sciences: 16 works · 90.6% of their workComputer Science: 16 works · 90.6% of their workArtificial Intelligence: 15 works · 84.9% of their workComputer Vision and Pattern Recognition: 1 works · 3.8% of their workSignal Processing: 0 works · 1.9% of their workSocial Sciences: 2 works · 9.4% of their workArts and Humanities: 1 works · 7.5% of their workLanguage and Linguistics: 1 works · 7.5% of their workSocial Sciences: 0 works · 1.9% of their workCommunication: 0 works · 1.9% of their workTHEIR WORKAmr Keleg18works
Physical Sciences91%Social Sciences9%

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 Science1690.6%
    1. Arts and Humanities17.5%
    2. Social Sciences01.9%
  1. 1Artificial Intelligence85% of their works
  2. 2Language and Linguistics8% of their works
  3. 3Computer Vision and Pattern Recognition4% of their works
  4. 4Communication2% of their works
  5. 5Signal Processing2% of their works

Research topics

Which keywords describe Amr Keleg's research?

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

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 20 words, with their numbers
  1. Text Classification192 topics
  2. Neural Networks173 topics
  3. Neural Machine Translation161 topic
  4. Statistical Machine Translation161 topic
  5. Machine Translation131 topic
  6. Word Representation131 topic
  7. Machine Learning82 topics
  8. Authorship Attribution61 topic
  9. Stylometry61 topic
  10. Deep Learning42 topics
  11. Acoustic Modeling21 topic
  12. Deep Neural Networks21 topic
  13. Electronic Health Records21 topic
  14. Generative Adversarial Networks21 topic
  15. Healthcare21 topic
  16. Image Synthesis21 topic
  17. Markov Decision Processes21 topic
  18. Readability Assessment21 topic
  19. Spoken Dialogue Systems21 topic
  20. Text Simplification21 topic

Where does Amr Keleg work?

Amr Keleg's main affiliation in the publication record is Language Science (South Korea), South Korea.

How many publications and citations does Amr Keleg have?

OpenAlex counts 18 works and 36 citations for Amr Keleg, an h-index of 3, ranking #5,434,780 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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