Hélène Jacqmin‐Gadda
- Psychiatry and Mental health top 0.5%
- Physiology top 2%
- Statistics and Probability top 0.2%
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Jean‐François DartiguesPaul BlancheDaniel CommengesCécile Proust‐LimaHélène AmievaPascale Barberger‐GateauVirginie RondeauCatherine Helmer
- Topics
- Statistical Methods and Inference (35 papers)Statistical Methods and Bayesian Inference (33 papers)Dementia and Cognitive Impairment Research (32 papers)
- Cited by
- Psychiatry and Mental healthStatistics and ProbabilityNeuropsychology and Physiological Psychology
- Partner nations
- FranceUnited StatesBelize
In The Last Decade
Hélène Jacqmin‐Gadda
118 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 199
- Psychiatry and Mental health 1.9k
- Physiology 1.1k
- Statistics and Probability 995
- Molecular Biology 692
- Pulmonary and Respiratory Medicine 662
Countries citing papers authored by Hélène Jacqmin‐Gadda
This map shows the geographic impact of Hélène Jacqmin‐Gadda'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 Hélène Jacqmin‐Gadda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hélène Jacqmin‐Gadda more than expected).
Fields of papers citing papers by Hélène Jacqmin‐Gadda
This network shows the impact of papers produced by Hélène Jacqmin‐Gadda. 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 Hélène Jacqmin‐Gadda. The network helps show where Hélène Jacqmin‐Gadda may publish in the future.
Co-authorship network of co-authors of Hélène Jacqmin‐Gadda
This figure shows the co-authorship network connecting the top 25 collaborators of Hélène Jacqmin‐Gadda. A scholar is included among the top collaborators of Hélène Jacqmin‐Gadda 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 Hélène Jacqmin‐Gadda. Hélène Jacqmin‐Gadda 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 | 2 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 6 | |
| 10 | 10 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 13 | |
| 15 | 49 | |
| 16 | 6 | |
| 17 | 113 | |
| 18 | 45 | |
| 19 | 5 | |
| 20 | 51 |
About Hélène Jacqmin‐Gadda
Hélène Jacqmin‐Gadda is a scholar working on Statistics and Probability, Virology and Psychiatry and Mental health, having authored 120 papers that have together received 7.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (35 papers), Statistical Methods and Bayesian Inference (33 papers) and Dementia and Cognitive Impairment Research (32 papers). The work is most often cited by research in Psychiatry and Mental health (1.9k citations), Statistics and Probability (995 citations) and Neuropsychology and Physiological Psychology (175 citations). Hélène Jacqmin‐Gadda has collaborated with scholars based in France, United States and Belize. Frequent co-authors include Jean‐François Dartigues, Paul Blanche, Daniel Commenges, Cécile Proust‐Lima, Hélène Amieva, Pascale Barberger‐Gateau, Virginie Rondeau, Catherine Helmer, Luc Letenneur and Rodolphe Thiébaut. Their work appears in journals such as Journal of the American Statistical Association, PLoS ONE and Brain.
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.