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Researcher · University of Duisburg-Essen · Germany

Mouadh Guesmi

Mouadh Guesmi publishes mostly in Artificial Intelligence, Computer Science Applications and Information Systems, on topics such as Explainable Artificial Intelligence (XAI), Online Learning and Analytics and E-Learning and Knowledge Management.

ORCID 0000-0002-4105-8896 OpenAlex
World rank
#1,885,609
of 7,710,434 ranked researchers
Rank in Germany
#93,067
of 364,343
Works
23
Citations
289
Citations per work
12.6
h-index
11
i10-index 13Top 37% in Artificial Intelligence
Mouadh Guesmi

What does Mouadh Guesmi research?

Mouadh Guesmi's work is mostly in Computer Science (70%), Decision Sciences (13%).

Physical Sciences: 16 works · 70.2% of their workComputer Science: 16 works · 70.2% of their workArtificial Intelligence: 6 works · 26.9% of their workComputer Science Applications: 5 works · 20.9% of their workInformation Systems: 3 works · 13.4% of their workComputer Vision and Pattern Recognition: 2 works · 9.0% of their workEverything else: 4 works · 16.3% of their workSocial Sciences: 3 works · 13.5% of their workDecision Sciences: 3 works · 13.5% of their workStatistics, Probability and Uncertainty: 2 works · 7.5% of their workInformation Systems and Management: 1 works · 6.0% of their workTHEIR WORKMouadh Guesmi23works
Physical Sciences70%Social Sciences13%

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 Science1670.2%
  2. Everything else416.3%
    1. Decision Sciences313.5%
  1. 1Artificial Intelligence27% of their works
  2. 2Computer Science Applications21% of their works
  3. 3Information Systems13% of their works
  4. 4Computer Vision and Pattern Recognition9% of their works
  5. 5Statistics, Probability and Uncertainty8% of their works
  6. 6Information Systems and Management6% of their works

Research topics

Which keywords describe Mouadh Guesmi's research?

The keywords of their largest research topics: Interpretable Models, Machine Learning Interpretability, Neural Networks, Educational Data Mining, Learning Analytics, Collaborative Filtering, E-Learning and Innovation.

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 17 words, with their numbers
  1. Interpretable Models121 topic
  2. Machine Learning Interpretability121 topic
  3. Neural Networks103 topics
  4. Educational Data Mining81 topic
  5. Learning Analytics81 topic
  6. Collaborative Filtering61 topic
  7. E-Learning61 topic
  8. Innovation61 topic
  9. Matrix Factorization61 topic
  10. Information Visualization51 topic
  11. Meta-Analysis51 topic
  12. PRISMA Statement51 topic
  13. Visual Analytics51 topic
  14. Automatic21 topic
  15. Extraction21 topic
  16. Machine Translation21 topic
  17. Word Representation21 topic

Where does Mouadh Guesmi work?

Mouadh Guesmi's main affiliation in the publication record is University of Duisburg-Essen, Germany.

How many publications and citations does Mouadh Guesmi have?

OpenAlex counts 23 works and 289 citations for Mouadh Guesmi, an h-index of 11, ranking #1,885,609 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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