Mireille E. Schnitzer

1.9k citations
75 papers · 1.1k · h-index 16

Impact in

Papers in

Mireille E. Schnitzer

72 papers receiving 1.1k citations

Peers

Mireille E. Schnitzer
Comparison fields: 5 of 120
  • Statistics and Probability 243
  • Obstetrics and Gynecology 105
  • Gastroenterology 77
  • Internal Medicine 35
  • Cardiology and Cardiovascular Medicine 182
Replace Colleen Ross with:
Colleen Ross United States
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Edouard L. Fu Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Mireille E. Schnitzer

Since Specialization
Citations

This map shows the geographic impact of Mireille E. Schnitzer'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 Mireille E. Schnitzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mireille E. Schnitzer more than expected).

Fields of papers citing papers by Mireille E. Schnitzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mireille E. Schnitzer. 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 Mireille E. Schnitzer. The network helps show where Mireille E. Schnitzer may publish in the future.

Co-authors

The 25 scholars most cited alongside Mireille E. Schnitzer, 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 Mireille E. Schnitzer Line = papers co-authored together Mireille E. Schnitzer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201894
2 201693
3 201988
4 201686
5 202178
6 201844
7 202041
8
EFFECT OF BREASTFEEDING ON GASTROINTESTINAL INFECTION IN INFANTS: A TARGETED MAXIMUM LIKELIHOOD APPROACH FOR CLUSTERED LONGITUDINAL DATA
201335
9 201032
10 202131
11 202025
12 201523
13 201221
14 201319
15 201818
16 201616
17 201814
18 202014
19 201914
20 202213

About Mireille E. Schnitzer

Mireille E. Schnitzer is a scholar working on Statistics and Probability, Cardiology and Cardiovascular Medicine, Infectious Diseases, Public Health, Environmental and Occupational Health and Economics and Econometrics, having authored 75 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (28 papers), Statistical Methods and Inference (17 papers), Statistical Methods and Bayesian Inference (12 papers), Statistical Methods in Clinical Trials (8 papers), Atrial Fibrillation Management and Outcomes (7 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), Pregnancy and preeclampsia studies (4 papers) and Pregnancy and Medication Impact (4 papers). The work is most often cited by research in Statistics and Probability (243 citations), Obstetrics and Gynecology (105 citations), Gastroenterology (77 citations), Internal Medicine (35 citations) and Cardiology and Cardiovascular Medicine (182 citations). Mireille E. Schnitzer has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Erica E. M. Moodie, Emily G. McDonald, Devin Abrahami, Laurent Azoulay, Robert W. Platt, Miguel Ángel Luque-Fernández, Michael Schomaker, Bernard Rachet, Nathalie Auger and Sylvie Perreault. Their work appears in journals such as Statistics in Medicine, Statistical Methods in Medical Research, American Journal of Epidemiology, Biometrics and The International Journal of Biostatistics.

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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