Véronique Sebille
- Epidemiology top 2%
- Pulmonary and Respiratory Medicine top 5%
- Surgery top 5%
- Hematology top 2%
- Critical Care and Intensive Care Medicine top 0.5%
- Co-authors
- Jean-Benoît HardouinÉric BellissantL. MoretEmmanuelle AnthoineAntoine RegnaultDjillali AnnaneClaire CharpentierYves Deugnier
- Topics
- Psychometric Methodologies and Testing (31 papers)Advanced Causal Inference Techniques (17 papers)Statistical Methods and Bayesian Inference (17 papers)
- Partner nations
- FranceCanadaUnited States
In The Last Decade
Véronique Sebille
161 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Epidemiology 1.1k
- Pulmonary and Respiratory Medicine 582
- Surgery 575
- Hematology 555
- Critical Care and Intensive Care Medicine 511
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 of co-authors of Véronique Sebille
This figure shows the co-authorship network connecting the top 25 collaborators of Véronique Sebille. A scholar is included among the top collaborators of Véronique Sebille based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Véronique Sebille. Véronique Sebille is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 10 | |
| 4 | 53 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | Power analysis on the time effect for the longitudinal Rasch model | 2 |
| 8 | Power analysis on the time effect for the longitudinal Rasch model. | 3 |
| 9 | 38 | |
| 10 | 7 | |
| 11 | 5 | |
| 12 | 48 | |
| 13 | 8 | |
| 14 | Analysis of longitudinal Patient-Reported Outcomes with informative and non-informative dropout: Comparison of CTT and Rasch-based methods | 7 |
| 15 | 1 | |
| 16 | 32 | |
| 17 | 124 | |
| 18 | Corticosteroids for patients with septic shock. Authors' reply | 3 |
| 19 | 17 | |
| 20 | 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) and Statistical Methods and Bayesian Inference (17 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.