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Researcher · Bauhaus-Universität Weimar · Germany

Khalid Al‐Khatib

Khalid Al‐Khatib publishes mostly in Artificial Intelligence, Information Systems and Sociology and Political Science, on topics such as Topic Modeling, Natural Language Processing Techniques and Advanced Text Analysis Techniques.

ORCID 0009-0006-7255-5349 OpenAlex
World rank
#271,960
of 7,710,434 ranked researchers
Rank in Germany
#13,729
of 364,343
Works
111
Citations
2.3k
Citations per work
20.3
h-index
23
i10-index 33Top 9.4% in Artificial Intelligence
Khalid Al‐Khatib

What does Khalid Al‐Khatib research?

Khalid Al‐Khatib's work is mostly in Computer Science (62%), Social Sciences (10%), Business, Management and Accounting (7%).

Physical Sciences: 68 works · 61.7% of their workComputer Science: 68 works · 61.7% of their workArtificial Intelligence: 58 works · 52.4% of their workInformation Systems: 10 works · 9.3% of their workSocial Sciences: 22 works · 19.6% of their workSocial Sciences: 11 works · 9.8% of their workSociology and Political Science: 8 works · 7.1% of their workCommunication: 3 works · 2.7% of their workBusiness, Management and Accounting: 7 works · 6.7% of their workAccounting: 7 works · 6.7% of their workDecision Sciences: 3 works · 3.1% of their workManagement Science and Operations Research: 3 works · 3.1% of their workEverything else: 21 works · 18.7% of their workTHEIR WORKKhalid Al‐Khatib111works
Physical Sciences62%Social Sciences20%

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 Science6861.7%
    1. Social Sciences119.8%
    2. Business, Management and Accounting76.7%
    3. Decision Sciences33.1%
  3. Everything else2118.7%
  1. 1Artificial Intelligence52% of their works
  2. 2Information Systems9% of their works
  3. 3Sociology and Political Science7% of their works
  4. 4Accounting7% of their works
  5. 5Management Science and Operations Research3% of their works
  6. 6Communication3% of their works

Research topics

Which keywords describe Khalid Al‐Khatib's research?

The keywords of their largest research topics: Neural Networks, Machine Translation, Word Representation, Machine Learning, Social Media, Deep Learning, Neural Machine Translation and Statistical Machine Translation.

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 Networks552 topics
  2. Machine Translation371 topic
  3. Word Representation371 topic
  4. Machine Learning343 topics
  5. Social Media333 topics
  6. Deep Learning222 topics
  7. Neural Machine Translation191 topic
  8. Statistical Machine Translation191 topic
  9. Automatic181 topic
  10. Extraction181 topic
  11. Detection131 topic
  12. Hate Speech131 topic
  13. Code Clone Detection121 topic
  14. Refactoring121 topic
  15. Fake News111 topic
  16. Misinformation111 topic
  17. Opinion Mining91 topic
  18. Sentiment Analysis91 topic
  19. Agent-Based Modeling61 topic
  20. Multi-Agent Systems61 topic

Where does Khalid Al‐Khatib work?

Khalid Al‐Khatib's main affiliation in the publication record is Bauhaus-Universität Weimar, Germany.

How many publications and citations does Khalid Al‐Khatib have?

OpenAlex counts 111 works and 2,257 citations for Khalid Al‐Khatib, an h-index of 23, ranking #271,960 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.

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