Céline Vial
- Developmental Neuroscience top 0.5%
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Neurology top 5%
- Cognitive Neuroscience top 10%
- Co-authors
- Göran PossnertKanar AlkassMehran SalehpourIsabelle WesterlundDeborah C. MashBruce A. BuchholzKirsty L. SpaldingOlaf Bergmann
- Topics
- Statistical Methods and Inference (7 papers)Advanced Statistical Methods and Models (3 papers)Advanced Statistical Process Monitoring (3 papers)
- Journals
- CellJournal of the American Statistical AssociationAmerican Journal of Physiology-Heart and Circulatory Physiology
- Partner nations
- FranceAustraliaUnited States
In The Last Decade
Céline Vial
14 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Developmental Neuroscience 814
- Cellular and Molecular Neuroscience 451
- Molecular Biology 421
- Neurology 265
- Cognitive Neuroscience 215
Countries citing papers authored by Céline Vial
This map shows the geographic impact of Céline Vial'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 Céline Vial with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Céline Vial more than expected).
Fields of papers citing papers by Céline Vial
This network shows the impact of papers produced by Céline Vial. 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 Céline Vial. The network helps show where Céline Vial may publish in the future.
Co-authorship network of co-authors of Céline Vial
This figure shows the co-authorship network connecting the top 25 collaborators of Céline Vial. A scholar is included among the top collaborators of Céline Vial 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 Céline Vial. Céline Vial 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 | 2 | |
| 3 | 4 | |
| 4 | 10 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | Dynamics of Hippocampal Neurogenesis in Adult Humansbreakdown → | 1301 |
| 8 | 2 | |
| 9 | 23 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | Assessing extrema of empirical principal component functions | 3 |
| 13 | 41 | |
| 14 | 50 | |
| 15 | 11 |
About Céline Vial
Céline Vial is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Forestry, having authored 15 papers that have together received 1.5k indexed citations. Recurring topics across this work include Statistical Methods and Inference (7 papers), Advanced Statistical Methods and Models (3 papers) and Advanced Statistical Process Monitoring (3 papers). The work is most often cited by research in Developmental Neuroscience (814 citations), Neurology (265 citations) and Behavioral Neuroscience (104 citations). Céline Vial has collaborated with scholars based in France, Australia and United States. Frequent co-authors include Göran Possnert, Kanar Alkass, Mehran Salehpour, Isabelle Westerlund, Deborah C. Mash, Bruce A. Buchholz, Kirsty L. Spalding, Olaf Bergmann, Samuel Bernard and Henrik Druid. Their work appears in journals such as Cell, Journal of the American Statistical Association and American Journal of Physiology-Heart and Circulatory Physiology.
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.