Véronique Sebille
- Hematology top 2%
- Family Practice top 5%
- Genetics top 2%
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- Psychometric Methodologies and Testing 31
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- Advanced Causal Inference Techniques 17
- Statistical Methods and Bayesian Inference 17
- Statistical Methods in Clinical Trials 9
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- Health Systems, Economic Evaluations, Quality of Life 14
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- Mental Health Research Topics 12
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- Advanced Statistical Modeling Techniques 11
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- Meta-analysis and systematic reviews 9
- Co-authors
- Jean-Benoît HardouinÉric BellissantL. MoretEmmanuelle AnthoineAntoine RegnaultDjillali AnnaneClaire CharpentierYves Deugnier
- Partner nations
- FranceCanadaUnited States
In The Last Decade
Véronique Sebille
161 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Critical Care and Intensive Care Medicine 511
- Hematology 555
- Family Practice 84
- Genetics 404
- Applied Microbiology and Biotechnology 73
Countries citing papers authored by Véronique Sebille
This map shows the geographic impact of Véronique Sebille'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 Véronique Sebille with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Véronique Sebille more than expected).
Fields of papers citing papers by Véronique Sebille
This network shows the impact of papers produced by Véronique Sebille. 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 Véronique Sebille. The network helps show where Véronique Sebille may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Véronique Sebille, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2022 | 6 | |
| 3 | 2022 | 10 | |
| 4 | 2022 | 53 | |
| 5 | 2018 | 6 | |
| 6 | 2015 | 4 | |
| 7 | Power analysis on the time effect for the longitudinal Rasch model | 2014 | 2 |
| 8 | Power analysis on the time effect for the longitudinal Rasch model. | 2014 | 3 |
| 9 | 2013 | 38 | |
| 10 | 2013 | 7 | |
| 11 | 2013 | 5 | |
| 12 | 2013 | 48 | |
| 13 | 2011 | 8 | |
| 14 | Analysis of longitudinal Patient-Reported Outcomes with informative and non-informative dropout: Comparison of CTT and Rasch-based methods | 2011 | 7 |
| 15 | 2011 | 1 | |
| 16 | 2009 | 32 | |
| 17 | 2008 | 124 | |
| 18 | Corticosteroids for patients with septic shock. Authors' reply | 2003 | 3 |
| 19 | 2002 | 17 | |
| 20 | 1999 | 6 |
About Véronique Sebille
Véronique Sebille is a scholar working on Statistics and Probability, Management Science and Operations Research and Critical Care and Intensive Care Medicine, having authored 164 papers that have together received 5.5k indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (31 papers), Advanced Causal Inference Techniques (17 papers), Statistical Methods and Bayesian Inference (17 papers), Health Systems, Economic Evaluations, Quality of Life (14 papers), Mental Health Research Topics (12 papers), Advanced Statistical Modeling Techniques (11 papers), Statistical Methods in Clinical Trials (9 papers) and Meta-analysis and systematic reviews (9 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (511 citations), Hematology (555 citations) and Family Practice (84 citations). Véronique Sebille has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Jean-Benoît Hardouin, Éric Bellissant, L. Moret, Emmanuelle Anthoine, Antoine Regnault, Djillali Annane, Claire Charpentier, Yves Deugnier, Dominique Guyader and Damien Olivié. Their work appears in journals such as The Lancet, JAMA and The Journal of Immunology.
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.