Hélène Jacqmin‐Gadda

10.4k total citations · 2 hit papers
120 papers, 7.2k citations indexed

About

Hélène Jacqmin‐Gadda is a scholar working on Statistics and Probability, Psychiatry and Mental health and Artificial Intelligence. According to data from OpenAlex, Hélène Jacqmin‐Gadda has authored 120 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Statistics and Probability, 32 papers in Psychiatry and Mental health and 22 papers in Artificial Intelligence. Recurrent topics in Hélène Jacqmin‐Gadda's work include Statistical Methods and Inference (35 papers), Statistical Methods and Bayesian Inference (33 papers) and Dementia and Cognitive Impairment Research (32 papers). Hélène Jacqmin‐Gadda is often cited by papers focused on Statistical Methods and Inference (35 papers), Statistical Methods and Bayesian Inference (33 papers) and Dementia and Cognitive Impairment Research (32 papers). Hélène Jacqmin‐Gadda collaborates with scholars based in France, United States and Belize. Hélène Jacqmin‐Gadda's 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 and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Brain.

In The Last Decade

Hélène Jacqmin‐Gadda

118 papers receiving 7.0k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Estimating and comparing time‐dependent areas under receiver operating characteristic curves for censored event times with competing risks

2013 1.1k citations Jean‐François Dartigues, Hélène Jacqmin‐Gadda et al. Statistics in Medicine profile →
Prodromal Alzheimer's disease: Successive emergence of the clinical symptoms

2008 541 citations Hélène Amieva, Karine Pérès et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Hélène Jacqmin‐Gadda France	45	1.9k	1.1k	995	692	662	120	7.2k
Daniel Commenges France	45	1.9k 1.0×	1.1k 1.0×	1.3k 1.3×	386 0.6×	177 0.3×	174	7.5k
Ananda Sen United States	52	1.5k 0.8×	1.9k 1.7×	871 0.9×	701 1.0×	539 0.8×	225	10.7k
Wenyaw Chan United States	48	700 0.4×	697 0.6×	221 0.2×	494 0.7×	839 1.3×	249	7.6k
Martin Landray United Kingdom	37	516 0.3×	1.4k 1.2×	253 0.3×	1.4k 2.1×	920 1.4×	124	11.4k
C.E. Davis United States	41	4.3k 2.3×	1.1k 1.0×	579 0.6×	865 1.3×	875 1.3×	94	12.5k
William Henley United Kingdom	48	712 0.4×	1.2k 1.1×	182 0.2×	768 1.1×	483 0.7×	180	9.0k
Εvangelos Εvangelou Greece	54	713 0.4×	1.2k 1.1×	176 0.2×	1.5k 2.2×	1.1k 1.6×	160	11.5k
Christina Wolfson Canada	54	2.4k 1.3×	2.2k 2.0×	127 0.1×	527 0.8×	658 1.0×	253	12.8k
Ian Douglas United Kingdom	37	698 0.4×	1.3k 1.1×	383 0.4×	853 1.2×	713 1.1×	155	7.0k
Wendy Lou Canada	39	248 0.1×	1.3k 1.2×	248 0.2×	617 0.9×	437 0.7×	204	5.8k

Countries citing papers authored by Hélène Jacqmin‐Gadda

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Beyer, Frauke, Ami Tsuchida, Aïcha Soumaré, et al.. (2025). White matter hyperintensity spatial patterns: Risk factors and clinical correlates. Alzheimer s & Dementia. 21(4). e70053–e70053. 4 indexed citations

Piscione, Julien, et al.. (2024). Impact of Weekly Training-Load Structure and Content on the Risk of Injury in Professional Rugby Union Match-Play. The Journal of Strength and Conditioning Research. 38(9). 1613–1619. 2 indexed citations

Shi, Baoyi, et al.. (2024). Multistate approach for stochastic interventions on a time-to-event mediator in the presence of competing risks: A new R command within the CMAverse R package. Epidemiology. 36(1). 139–140.

Jacqmin‐Gadda, Hélène, et al.. (2023). Impact of interventions scenarios targeting three main vascular risk factors on the future burden of dementia in France. European Journal of Epidemiology. 38(4). 435–443. 1 indexed citations

Carles, Sophie, Claudine Berr, Catherine Helmer, et al.. (2021). Dynamic reciprocal relationships between cognitive and functional declines along the Alzheimer’s disease continuum in the prospective COGICARE study. Alzheimer s Research & Therapy. 13(1). 148–148. 4 indexed citations

Jacqmin‐Gadda, Hélène, et al.. (2020). Quantile regression for incomplete longitudinal data with selection by death. Statistical Methods in Medical Research. 29(9). 2697–2716. 3 indexed citations

Helmer, Catherine, et al.. (2020). A curvilinear bivariate random changepoint model to assess temporal order of markers. Statistical Methods in Medical Research. 29(9). 2481–2492. 1 indexed citations

Jacqmin‐Gadda, Hélène, et al.. (2020). Impact of benzodiazepine consumption reduction on future burden of dementia. Scientific Reports. 10(1). 14666–14666. 7 indexed citations

Andersen, Per Kragh, et al.. (2019). Regression analysis in an illness-death model with interval-censored data: A pseudo-value approach. Statistical Methods in Medical Research. 29(3). 752–764. 10 indexed citations

10.

Jacqmin‐Gadda, Hélène, et al.. (2019). Dynamic modeling of multivariate dimensions and their temporal relationships using latent processes: Application to Alzheimer's disease. Biometrics. 76(3). 886–899. 8 indexed citations

11.

Gosse, Philippe, Sébastien Rubin, Romain Boulestreau, et al.. (2019). Long term evolution of renal function in essential hypertensive patients with no baseline proteinuria. Journal of Human Hypertension. 34(8). 560–567. 2 indexed citations

12.

Amieva, Hélène, et al.. (2019). A hypothesis testing procedure for random changepoint mixed models. Statistics in Medicine. 38(20). 3791–3803. 3 indexed citations

13.

Choi, Yun‐Hee, et al.. (2019). Joint nested frailty models for clustered recurrent and terminal events: An application to colonoscopy screening visits and colorectal cancer risks in Lynch Syndrome families. Statistical Methods in Medical Research. 29(5). 1466–1479. 6 indexed citations

14.

Proust‐Lima, Cécile, Jean‐François Dartigues, David A. Bennett, et al.. (2017). Are latent variable models preferable to composite score approaches when assessing risk factors of change? Evaluation of type-I error and statistical power in longitudinal cognitive studies. Statistical Methods in Medical Research. 28(7). 1942–1957. 13 indexed citations

15.

Dartigues, Jean‐François, Catherine Helmer, Luc Letenneur, et al.. (2012). Paquid 2012: illustration and overview. Gériatrie et Psychologie Neuropsychiatrie du Viellissement. 10(3). 325–331. 6 indexed citations

16.

Proust‐Lima, Cécile, Hélène Amieva, Luc Letenneur, et al.. (2008). Gender and education impact on brain aging: A general cognitive factor approach.. Psychology and Aging. 23(3). 608–620. 113 indexed citations

17.

Dantan, Étienne, Cécile Proust‐Lima, Luc Letenneur, & Hélène Jacqmin‐Gadda. (2008). Pattern Mixture Models and Latent Class Models for the Analysis of Multivariate Longitudinal Data with Informative Dropouts. The International Journal of Biostatistics. 4(1). Article 14–Article 14. 45 indexed citations

18.

Pérès, Karine, Catherine Helmer, Luc Letenneur, Hélène Jacqmin‐Gadda, & Pascale Barberger‐Gateau. (2005). Ten-year change in disability prevalence and related factors in two generations of French elderly community dwellers: data from the PAQUID study. Aging Clinical and Experimental Research. 17(3). 229–235. 24 indexed citations

19.

Marque, Sébastien, Hélène Jacqmin‐Gadda, Jean‐François Dartigues, & Daniel Commenges. (2003). Cardiovascular mortality and calcium and magnesium in drinking water: An ecological study in elderly people. European Journal of Epidemiology. 18(4). 305–309. 60 indexed citations

20.

Jacqmin‐Gadda, Hélène, Daniel Commenges, & Jean‐François Dartigues. (1999). [Analysis of longitudinal Gaussian data with missing data on the response variable].. PubMed. 47(6). 525–34. 3 indexed citations

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.

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