Ronald Peereman

2.2k total citations
43 papers, 1.6k citations indexed

About

Ronald Peereman is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Education. According to data from OpenAlex, Ronald Peereman has authored 43 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Developmental and Educational Psychology, 25 papers in Cognitive Neuroscience and 13 papers in Education. Recurrent topics in Ronald Peereman's work include Reading and Literacy Development (31 papers), Neurobiology of Language and Bilingualism (21 papers) and Writing and Handwriting Education (13 papers). Ronald Peereman is often cited by papers focused on Reading and Literacy Development (31 papers), Neurobiology of Language and Bilingualism (21 papers) and Writing and Handwriting Education (13 papers). Ronald Peereman collaborates with scholars based in France, Belgium and United States. Ronald Peereman's co-authors include Alain Content, Patrick Bonin, Michel Fayol, Sophie Dufour, Bernard Lété, Pierre Perruchet, Marylène Chalard, Nathalie Malardier, Alain Méot and Liliane Sprenger-Charolles and has published in prestigious journals such as Cognition, Journal of Experimental Psychology Human Perception & Performance and Journal of Experimental Psychology General.

In The Last Decade

Ronald Peereman

42 papers receiving 1.5k citations

Peers

Ronald Peereman
Michael W. Harm United States
Georgije Lukatela United States
William Badecker United States
Amanda C. Walley United States
Whitney Tabor United States
Ronald Peereman
Citations per year, relative to Ronald Peereman Ronald Peereman (= 1×) peers Ranka Bijeljac-Babic

Countries citing papers authored by Ronald Peereman

Since Specialization
Citations

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

Fields of papers citing papers by Ronald Peereman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronald Peereman

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

All Works

20 of 20 papers shown
1.
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
2.
Poulin-Charronnat, Bénédicte, Pierre Perruchet, Barbara Tillmann, & Ronald Peereman. (2016). Familiar units prevail over statistical cues in word segmentation. Psychological Research. 81(5). 990–1003. 14 indexed citations
3.
Perruchet, Pierre, Bénédicte Poulin-Charronnat, Barbara Tillmann, & Ronald Peereman. (2014). New evidence for chunk-based models in word segmentation. Acta Psychologica. 149. 1–8. 24 indexed citations
4.
Kandel, Sonia, et al.. (2014). How do we code the letters of a word when we have to write it? Investigating double letter representation in French. Acta Psychologica. 148. 56–62. 15 indexed citations
5.
Treiman, Rebecca, et al.. (2014). The influence of graphotactic knowledge on adults’ learning of spelling. Memory & Cognition. 43(4). 593–604. 12 indexed citations
6.
Kandel, Sonia, et al.. (2013). Further evidence for the interaction of central and peripheral processes: the impact of double letters in writing English words. Frontiers in Psychology. 4. 729–729. 23 indexed citations
7.
Peereman, Ronald, Liliane Sprenger-Charolles, & Souhila Messaoud‐Galusi. (2013). The contribution of morphology to the consistency of spelling-to-sound relations: A quantitative analysis based on French elementary school readers. L’Année psychologique. 113(1). 3–33. 27 indexed citations
8.
Kandel, Sonia, et al.. (2011). For a psycholinguistic model of handwriting production: Testing the syllable-bigram controversy.. Journal of Experimental Psychology Human Perception & Performance. 37(4). 1310–1322. 64 indexed citations
9.
Peereman, Ronald, et al.. (2010). Validated intraclass correlation statistics to test item performance models. Behavior Research Methods. 43(1). 37–55. 21 indexed citations
10.
Dufour, Sophie & Ronald Peereman. (2009). Competition Effects in Phonological Priming: The Role of Mismatch Position between Primes and Targets. Journal of Psycholinguistic Research. 38(5). 475–490. 6 indexed citations
11.
Peereman, Ronald, Sophie Dufour, & Jennifer S. Burt. (2009). Orthographic influences in spoken word recognition: The consistency effect in semantic and gender categorization tasks. Psychonomic Bulletin & Review. 16(2). 363–368. 51 indexed citations
12.
Peereman, Ronald, et al.. (2006). Letter-by-letter processing in the phonological conversion of multiletter graphemes: Searching for sounds in printed pseudowords. Psychonomic Bulletin & Review. 13(1). 38–44. 9 indexed citations
13.
Perruchet, Pierre, et al.. (2004). Learning Nonadjacent Dependencies: No Need for Algebraic-Like Computations.. Journal of Experimental Psychology General. 133(4). 573–583. 57 indexed citations
14.
Dufour, Sophie & Ronald Peereman. (2003). Lexical competition in phonological priming: Assessing the role of phonological match and mismatch lengths between primes and targets. Memory & Cognition. 31(8). 1271–1283. 34 indexed citations
15.
Bonin, Patrick, Ronald Peereman, Nathalie Malardier, Alain Méot, & Marylène Chalard. (2003). A new set of 299 pictures for psycholinguistic studies: French norms for name agreement, image agreement, conceptual familiarity, visual complexity, image variability, age of acquisition, and naming latencies. Behavior Research Methods, Instruments, & Computers. 35(1). 158–167. 273 indexed citations
16.
Dufour, Sophie & Ronald Peereman. (2003). Inhibitory priming effects in auditory word recognition: when the target's competitors conflict with the prime word. Cognition. 88(3). B33–B44. 46 indexed citations
17.
Peereman, Ronald & Alain Content. (1999). LEXOP: A lexical database providing orthography-phonology statistics for French monosyllabic words. Behavior Research Methods, Instruments, & Computers. 31(2). 376–379. 69 indexed citations
18.
Bonin, Patrick, Michel Fayol, & Ronald Peereman. (1998). Masked form priming in writing words from pictures: Evidence for direct retrieval of orthographic codes. Acta Psychologica. 99(3). 311–328. 43 indexed citations
19.
Peereman, Ronald. (1991). Phonological assembly in reading: Lexical contribution leads to violation of graphophonological rules. Memory & Cognition. 19(6). 568–578. 7 indexed citations
20.
Peereman, Ronald & Daniel Holender. (1984). Relation Entre Taille Physique et Taille Numérique Dans la Comparaison de Chiffres Écrits Alphabétiquement Ou Idéographiquement. Psychologica Belgica. 24(2). 147–147. 5 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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