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Researcher · University of Hassan II Casablanca · Morocco

Nassera Habbat

Nassera Habbat publishes mostly in Artificial Intelligence, Management Science and Operations Research and Sociology and Political Science, on topics such as Sentiment Analysis and Opinion Mining, Advanced Text Analysis Techniques and Stock Market Forecasting Methods.

ORCID 0000-0002-7648-4545 OpenAlex
World rank
#2,280,447
of 7,710,434 ranked researchers
Rank in Morocco
#1,983
of 14,526
Works
29
Citations
291
Citations per work
10.0
h-index
10
i10-index 10Top 42% in Artificial Intelligence
Nassera Habbat

What does Nassera Habbat research?

Nassera Habbat's work is mostly in Computer Science (66%), Decision Sciences (8%), Social Sciences (7%).

Physical Sciences: 20 works · 69.1% of their workComputer Science: 19 works · 65.5% of their workArtificial Intelligence: 19 works · 65.5% of their workEngineering: 1 works · 3.6% of their workElectrical and Electronic Engineering: 1 works · 3.6% of their workSocial Sciences: 6 works · 19.1% of their workDecision Sciences: 2 works · 8.3% of their workManagement Science and Operations Research: 2 works · 8.3% of their workSocial Sciences: 2 works · 7.2% of their workGeneral Social Sciences: 1 works · 3.6% of their workSociology and Political Science: 1 works · 3.6% of their workBusiness, Management and Accounting: 1 works · 3.6% of their workMarketing: 1 works · 3.6% of their workEverything else: 3 works · 11.8% of their workTHEIR WORKNassera Habbat29works
Physical Sciences69%Social Sciences19%

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 Science1965.5%
    2. Engineering13.6%
    1. Decision Sciences28.3%
    2. Social Sciences27.2%
    3. Business, Management and Accounting13.6%
  3. Everything else311.8%
  1. 1Artificial Intelligence66% of their works
  2. 2Management Science and Operations Research8% of their works
  3. 3Sociology and Political Science4% of their works
  4. 4Electrical and Electronic Engineering4% of their works
  5. 5Marketing4% of their works
  6. 6General Social Sciences4% of their works

Research topics

Which keywords describe Nassera Habbat's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Sentiment Analysis, Machine Learning, Social Media, Opinion Mining, Text Mining and Automatic.

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 24 words, with their numbers
  1. Deep Learning323 topics
  2. Neural Networks324 topics
  3. Sentiment Analysis292 topics
  4. Machine Learning252 topics
  5. Social Media252 topics
  6. Opinion Mining221 topic
  7. Text Mining221 topic
  8. Automatic161 topic
  9. Extraction161 topic
  10. Information Retrieval122 topics
  11. Text Classification122 topics
  12. Topic Modeling92 topics
  13. Stock Market Prediction71 topic
  14. Time Series Forecasting71 topic
  15. Feature Selection61 topic
  16. Machine Translation61 topic
  17. Multi-label Learning61 topic
  18. Word Representation61 topic
  19. Computational Text Analysis31 topic
  20. Consumer Engagement31 topic
  21. Electricity Price Forecasting31 topic
  22. Electronic Word-of-Mouth31 topic
  23. Load Forecasting31 topic
  24. Social Science Research31 topic

Where does Nassera Habbat work?

Nassera Habbat's main affiliation in the publication record is University of Hassan II Casablanca, Morocco.

How many publications and citations does Nassera Habbat have?

OpenAlex counts 29 works and 291 citations for Nassera Habbat, an h-index of 10, ranking #2,280,447 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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