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Researcher · École supérieure des agricultures · France

Daoud Ounaissi

Daoud Ounaissi publishes mostly in Statistics and Probability, Artificial Intelligence and Food Science, on topics such as Statistical Methods and Inference, Advanced Statistical Methods and Models and Markov Chains and Monte Carlo Methods.

ORCID 0000-0002-0576-5059 OpenAlex
World rank
#5,303,534
of 7,710,434 ranked researchers
Rank in France
#224,164
of 324,115
Works
18
Citations
78
Citations per work
4.3
h-index
4
i10-index 1Top 93% in Statistics and Probability
Daoud Ounaissi

What does Daoud Ounaissi research?

Daoud Ounaissi's work is mostly in Mathematics (27%), Agricultural and Biological Sciences (15%), Computer Science (9%).

Physical Sciences: 7 works · 40.0% of their workMathematics: 5 works · 27.3% of their workStatistics and Probability: 5 works · 27.3% of their workComputer Science: 2 works · 9.1% of their workArtificial Intelligence: 2 works · 9.1% of their workChemistry: 1 works · 3.6% of their workAnalytical Chemistry: 1 works · 3.6% of their workEverything else: 7 works · 39.9% of their workLife Sciences: 4 works · 20.1% of their workAgricultural and Biological Sciences: 3 works · 14.6% of their workFood Science: 2 works · 9.1% of their workPlant Science: 1 works · 5.5% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 5.5% of their workMolecular Biology: 1 works · 5.5% of their workTHEIR WORKDaoud Ounaissi18works
Life Sciences20%Physical Sciences40%

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. Mathematics527.3%
    2. Computer Science29.1%
    3. Chemistry13.6%
  2. Everything else739.9%
    1. Agricultural and Biological Sciences314.6%
    2. Biochemistry, Genetics and Molecular Biology15.5%
  1. 1Statistics and Probability27% of their works
  2. 2Artificial Intelligence9% of their works
  3. 3Food Science9% of their works
  4. 4Molecular Biology6% of their works
  5. 5Plant Science6% of their works
  6. 6Analytical Chemistry4% of their works

Research topics

Which keywords describe Daoud Ounaissi's research?

The keywords of their largest research topics: Model Selection, Variable Selection, Lasso, Principal Component Analysis, Regularization, Bayesian Monte Carlo, Markov Chain and Multicollinearity.

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 19 words, with their numbers
  1. Model Selection102 topics
  2. Variable Selection82 topics
  3. Lasso61 topic
  4. Principal Component Analysis62 topics
  5. Regularization61 topic
  6. Bayesian Monte Carlo41 topic
  7. Markov Chain41 topic
  8. Multicollinearity41 topic
  9. Regression Analysis41 topic
  10. Genetics31 topic
  11. Grapevine31 topic
  12. Microbial Modulation31 topic
  13. Wine Yeasts31 topic
  14. Molecular Docking21 topic
  15. Multivariate Calibration21 topic
  16. Near-Infrared Spectroscopy21 topic
  17. Nonlinear Estimation21 topic
  18. Particle Filters21 topic
  19. Virtual Screening21 topic

Where does Daoud Ounaissi work?

Daoud Ounaissi's main affiliation in the publication record is École supérieure des agricultures, France.

How many publications and citations does Daoud Ounaissi have?

OpenAlex counts 18 works and 78 citations for Daoud Ounaissi, an h-index of 4, ranking #5,303,534 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.

Discussion

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