Sébastien Pacton

2.6k total citations · 1 hit paper
30 papers, 1.7k citations indexed

About

Sébastien Pacton is a scholar working on Developmental and Educational Psychology, Education and Cognitive Neuroscience. According to data from OpenAlex, Sébastien Pacton has authored 30 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Developmental and Educational Psychology, 18 papers in Education and 7 papers in Cognitive Neuroscience. Recurrent topics in Sébastien Pacton's work include Reading and Literacy Development (21 papers), Writing and Handwriting Education (17 papers) and Language Development and Disorders (10 papers). Sébastien Pacton is often cited by papers focused on Reading and Literacy Development (21 papers), Writing and Handwriting Education (17 papers) and Language Development and Disorders (10 papers). Sébastien Pacton collaborates with scholars based in France, United States and Canada. Sébastien Pacton's co-authors include Pierre Perruchet, Michel Fayol, Axel Cleeremans, S. Hélène Deacon, Nicole J. Conrad, Séverine Casalis, Rebecca Treiman, Bernard Lété, Ronald Peereman and Amélie Lubin and has published in prestigious journals such as PLoS ONE, Child Development and Trends in Cognitive Sciences.

In The Last Decade

Sébastien Pacton

25 papers receiving 1.6k citations

Hit Papers

align trajectories

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.

Implicit learning and statistical learning: one phenomenon, two approaches

2006 569 citations Pierre Perruchet, Sébastien Pacton Trends in Cognitive Sciences profile →

Peers

Sébastien Pacton

DEP

CN

EDUCA

SP

AI

Ronald Peereman France

Catherine M. Sandhofer United States

Michael W. Harm United States

Ranka Bijeljac-Babic France

Debra Jared Canada

Alain Content Belgium

Janet F. McLean United Kingdom

Luz Cary Belgium

Arnaud Rey France

Liliane Sprenger-Charolles France

Ronald Peereman France

Sébastien Pacton

1.2k ×0.9

DEP

1.0k ×1.5

CN

385 ×0.7

EDUCA

122 ×0.4

SP

193 ×1.0

AI

Citations per year, relative to Sébastien Pacton Sébastien Pacton (= 1×) peers Ronald Peereman

Countries citing papers authored by Sébastien Pacton

Since Specialization

Citations

This map shows the geographic impact of Sébastien Pacton'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 Sébastien Pacton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sébastien Pacton more than expected).

Fields of papers citing papers by Sébastien Pacton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sébastien Pacton. 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 Sébastien Pacton. The network helps show where Sébastien Pacton may publish in the future.

Co-authorship network of co-authors of Sébastien Pacton

This figure shows the co-authorship network connecting the top 25 collaborators of Sébastien Pacton. A scholar is included among the top collaborators of Sébastien Pacton 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 Sébastien Pacton. Sébastien Pacton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Pacton, Sébastien, et al.. (2024). Statistical learning and spelling: The case of graphotactic regularities. L’Année psychologique. Vol. 124(3). 317–345. 1 indexed citations

2.

Pacton, Sébastien & Ronald Peereman. (2023). Morphology as an aid in orthographic learning of new words: The influence of inflected and derived forms in spelling acquisition. Journal of Experimental Child Psychology. 232. 105675–105675.

3.

Pacton, Sébastien, et al.. (2021). La connaissance du nom des lettres : précurseur de l’apprentissage du son des lettres. Éducation et francophonie. 34(2). 28–55.

4.

Rey, Arnaud, et al.. (2019). Spelling performance on the web and in the lab. PLoS ONE. 14(12). e0226647–e0226647. 3 indexed citations

5.

Pacton, Sébastien, et al.. (2018). Children benefit from morphological relatedness independently of orthographic relatedness when they learn to spell new words. Journal of Experimental Child Psychology. 171. 71–83. 17 indexed citations

6.

Casalis, Séverine, et al.. (2017). Morphological training in spelling: Immediate and long-term effects of an interventional study in French third graders. Learning and Instruction. 53. 89–98. 8 indexed citations

7.

Pacton, Sébastien, et al.. (2015). Is an attention-based associative account of adjacent and nonadjacent dependency learning valid?. Acta Psychologica. 157. 195–199. 18 indexed citations

8.

Pacton, Sébastien, et al.. (2015). Comment les enfants apprennent-ils l’orthographe des mots ?. Revue française de linguistique appliquée. Vol. XX(2). 51–61. 1 indexed citations

9.

Pacton, Sébastien, et al.. (2014). 2. Morphologie et acquisition de l’orthographe: état des recherches actuelles 27.

10.

Treiman, Rebecca, et al.. (2014). The influence of graphotactic knowledge on adults’ learning of spelling. Memory & Cognition. 43(4). 593–604. 12 indexed citations

11.

Pacton, Sébastien, et al.. (2013). How does graphotactic knowledge influence children's learning of new spellings?. Frontiers in Psychology. 4. 701–701. 38 indexed citations

12.

Pacton, Sébastien, et al.. (2013). Children benefit from morphological relatedness when they learn to spell new words. Frontiers in Psychology. 4. 696–696. 24 indexed citations

13.

Pacton, Sébastien & Pierre Perruchet. (2008). An attention-based associative account of adjacent and nonadjacent dependency learning.. Journal of Experimental Psychology Learning Memory and Cognition. 34(1). 80–96. 88 indexed citations

14.

Deacon, S. Hélène, Nicole J. Conrad, & Sébastien Pacton. (2008). A statistical learning perspective on children's learning about graphotactic and morphological regularities in spelling.. Canadian Psychology/Psychologie canadienne. 49(2). 118–124. 95 indexed citations

15.

Perruchet, Pierre & Sébastien Pacton. (2006). Implicit learning and statistical learning: one phenomenon, two approaches. Trends in Cognitive Sciences. 10(5). 233–238. 569 indexed citations breakdown →

16.

Fayol, Michel & Sébastien Pacton. (2006). L'accord du participe passé : entre compétition de procédures et récupération en mémoire. Langue française. 151(3). 59–73.

17.

Pacton, Sébastien, Michel Fayol, & Pierre Perruchet. (2005). Children's Implicit Learning of Graphotactic and Morphological Regularities. Child Development. 76(2). 324–339. 123 indexed citations

18.

Perruchet, Pierre & Sébastien Pacton. (2004). Qu'apportent à la pédagogie les travaux de laboratoire sur l'apprentissage implicite ?. L’Année psychologique. 104(1). 121–146. 16 indexed citations

19.

Pacton, Sébastien, Pierre Perruchet, Michel Fayol, & Axel Cleeremans. (2001). Implicit learning out of the lab: The case of orthographic regularities.. Journal of Experimental Psychology General. 130(3). 401–426. 237 indexed citations

20.

Pacton, Sébastien, Michel Fayol, & Pierre Perruchet. (1999). L'apprentissage de l'orthographe lexicale : le cas des régularités. Langue française. 124(1). 23–39. 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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