Driss Oraichi

1.7k citations
26 papers · 1.2k indexed · h-index 14

Impact in

    • Statistical Methods and Inference
    • Statistical Distribution Estimation and Applications
  • Finance top 2%
    • Financial Risk and Volatility Modeling

Papers in

Driss Oraichi

22 papers receiving 1.1k citations

Peers

Driss Oraichi
Comparison fields: 5 of 123
  • Statistics and Probability 247
  • Finance 267
  • Obstetrics and Gynecology 161
  • Public Health, Environmental and Occupational Health 470
  • Dermatology 122
Replace Pascale Tubert‐Bitter with:
Pascale Tubert‐Bitter France
Alfio Marazzi Switzerland
Airlane Pereira Alencar Brazil
Alberto Roverato Italy
Peter Arlett Netherlands
Gaia Pocobelli United States
Hyokyoung G. Hong United States
Albert Vexler United States
Girdhar G. Agarwal India
Abha Aggarwal India
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Citations per field
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Pascale Tubert‐Bitter · 1×
Citations per year

Countries citing papers authored by Driss Oraichi

Since Specialization
Citations

This map shows the geographic impact of Driss Oraichi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Driss Oraichi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Driss Oraichi more than expected).

Fields of papers citing papers by Driss Oraichi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Driss Oraichi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Driss Oraichi. The network helps show where Driss Oraichi may publish in the future.

Co-authors

The 25 scholars most cited alongside Driss Oraichi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Driss Oraichi Line = papers co-authored together Driss Oraichi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20251
4 20250
5 20240
6 20230
7 201816
8 201046
9 200956
10 200922
11 200862
12
Antidepressant therapy during pregnancy: an insight on its potential healthcare costs.
20083
13 200776
14 200777
15 200751
16 200631
17 2006197
18 2006107
19 200630
20 200540

About Driss Oraichi

Driss Oraichi is a scholar working on Obstetrics and Gynecology, Dermatology, Applied Microbiology and Biotechnology, Parasitology and Family Practice, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (8 papers), Pregnancy and Medication Impact (8 papers), Pregnancy and preeclampsia studies (5 papers), Maternal Mental Health During Pregnancy and Postpartum (5 papers), Acne and Rosacea Treatments and Effects (5 papers), Bartonella species infections research (3 papers), Retinoids in leukemia and cellular processes (3 papers) and Financial Risk and Volatility Modeling (3 papers). The work is most often cited by research in Statistics and Probability (247 citations), Finance (267 citations), Obstetrics and Gynecology (161 citations), Public Health, Environmental and Occupational Health (470 citations) and Dermatology (122 citations). Driss Oraichi has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Anick Bérard, René Ferland, Alain Latour, Lucie Blais, Évelyne Rey, Laurent Azoulay, Élodie Ramos, Benjamin D. Ofori, Krystel Moussally and Elisabete Ramos. Their work appears in journals such as Open Forum Infectious Diseases, European Journal of Clinical Pharmacology, Clinical Infectious Diseases, Neurotoxicology and Teratology and Advances in Applied Probability.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026