Cécile Proust‐Lima
- Psychiatry and Mental health top 1%
- Statistics and Probability top 0.5%
- Physiology top 5%
- Public Health, Environmental and Occupational Health top 5%
- Health top 2%
- Co-authors
- Hélène Jacqmin‐GaddaJean‐François DartiguesJeremy M. G. TaylorLuc LetenneurHélène AmievaPascale Barberger‐GateauCécilia SamieriClaudine Berr
- Topics
- Dementia and Cognitive Impairment Research (31 papers)Statistical Methods and Inference (26 papers)Statistical Methods and Bayesian Inference (25 papers)
- Cited by
- Neuropsychology and Physiological PsychologyStatistics and ProbabilityPsychiatry and Mental health
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Cécile Proust‐Lima
100 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 173
- Psychiatry and Mental health 850
- Statistics and Probability 673
- Physiology 656
- Public Health, Environmental and Occupational Health 520
- Health 346
Countries citing papers authored by Cécile Proust‐Lima
This map shows the geographic impact of Cécile Proust‐Lima'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 Cécile Proust‐Lima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cécile Proust‐Lima more than expected).
Fields of papers citing papers by Cécile Proust‐Lima
This network shows the impact of papers produced by Cécile Proust‐Lima. 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 Cécile Proust‐Lima. The network helps show where Cécile Proust‐Lima may publish in the future.
Co-authorship network of co-authors of Cécile Proust‐Lima
This figure shows the co-authorship network connecting the top 25 collaborators of Cécile Proust‐Lima. A scholar is included among the top collaborators of Cécile Proust‐Lima 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 Cécile Proust‐Lima. Cécile Proust‐Lima 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 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 10 | |
| 11 | 4 | |
| 12 | 8 | |
| 13 | 8 | |
| 14 | 4 | |
| 15 | 13 | |
| 16 | 14 | |
| 17 | Shared random-effect models for the joint analysis of longitudinal and time-to-event data: application to the prediction of prostate cancer recurrence | 8 |
| 18 | 72 | |
| 19 | 129 | |
| 20 | 113 |
About Cécile Proust‐Lima
Cécile Proust‐Lima is a scholar working on Statistics and Probability, Neuropsychology and Physiological Psychology and Psychiatry and Mental health, having authored 106 papers that have together received 4.0k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (31 papers), Statistical Methods and Inference (26 papers) and Statistical Methods and Bayesian Inference (25 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (135 citations), Statistics and Probability (673 citations) and Psychiatry and Mental health (850 citations). Cécile Proust‐Lima has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Hélène Jacqmin‐Gadda, Jean‐François Dartigues, Jeremy M. G. Taylor, Luc Letenneur, Hélène Amieva, Pascale Barberger‐Gateau, Cécilia Samieri, Claudine Berr, Amélie Le Gouge and J.F. Dartigues. Their work appears in journals such as JAMA, PLoS ONE and Neurology.
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.