Steven Frisson

2.8k total citations
50 papers, 1.5k citations indexed

About

Steven Frisson is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Steven Frisson has authored 50 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cognitive Neuroscience, 26 papers in Developmental and Educational Psychology and 24 papers in Experimental and Cognitive Psychology. Recurrent topics in Steven Frisson's work include Neurobiology of Language and Bilingualism (26 papers), Reading and Literacy Development (22 papers) and Language, Metaphor, and Cognition (19 papers). Steven Frisson is often cited by papers focused on Neurobiology of Language and Bilingualism (26 papers), Reading and Literacy Development (22 papers) and Language, Metaphor, and Cognition (19 papers). Steven Frisson collaborates with scholars based in United Kingdom, United States and Belgium. Steven Frisson's co-authors include Martin J. Pickering, Brian McElree, Keith Rayner, Dominiek Sandra, Alexander Pollatsek, Lyn Frazier, Ole Jensen, Adrian Staub, David Harvey and Matthew J. Traxler and has published in prestigious journals such as Nature Communications, PLoS ONE and Trends in Cognitive Sciences.

In The Last Decade

Steven Frisson

47 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven Frisson United Kingdom 20 761 678 673 410 381 50 1.5k
Craig G. Chambers Canada 17 1.0k 1.4× 770 1.1× 862 1.3× 380 0.9× 365 1.0× 47 1.6k
Cynthia M. Connine United States 27 1.1k 1.5× 1.1k 1.6× 1.8k 2.7× 450 1.1× 665 1.7× 51 2.4k
Lise Menn United States 21 718 0.9× 914 1.3× 747 1.1× 375 0.9× 263 0.7× 57 1.6k
Wietske Vonk Netherlands 21 762 1.0× 727 1.1× 470 0.7× 386 0.9× 258 0.7× 33 1.2k
Marcia C. Linebarger United States 15 891 1.2× 762 1.1× 214 0.3× 471 1.1× 350 0.9× 38 1.5k
Todd R. Ferretti Canada 12 547 0.7× 345 0.5× 481 0.7× 203 0.5× 194 0.5× 23 936
Ann M. Peters United States 12 460 0.6× 1.1k 1.7× 563 0.8× 627 1.5× 279 0.7× 19 1.7k
Holger Diessel Germany 20 446 0.6× 875 1.3× 868 1.3× 1.5k 3.7× 457 1.2× 37 2.3k
Dominiek Sandra Belgium 17 668 0.9× 916 1.4× 387 0.6× 331 0.8× 258 0.7× 59 1.3k
Kathy Conklin United Kingdom 26 567 0.7× 1.6k 2.3× 666 1.0× 1.0k 2.5× 678 1.8× 63 2.3k

Countries citing papers authored by Steven Frisson

Since Specialization
Citations

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

Fields of papers citing papers by Steven Frisson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Frisson

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Frisson. A scholar is included among the top collaborators of Steven Frisson 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 Steven Frisson. Steven Frisson 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.
Frisson, Steven, et al.. (2025). Fast hierarchical processing of orthographic and semantic parafoveal information during natural reading. Nature Communications. 16(1). 8893–8893.
2.
Frisson, Steven, et al.. (2024). Early parafoveal semantic integration in natural reading. eLife. 12. 1 indexed citations
3.
Popov, Tzvetan, et al.. (2023). Saccades are locked to the phase of alpha oscillations during natural reading. PLoS Biology. 21(1). e3001968–e3001968. 11 indexed citations
4.
Frisson, Steven, et al.. (2023). Early parafoveal semantic integration in natural reading. eLife. 12. 4 indexed citations
5.
Elsherif, Mahmoud Medhat, Steven Frisson, & Linda Wheeldon. (2022). Orthographic precision for word naming in skilled readers. Language Cognition and Neuroscience. 38(2). 197–216. 3 indexed citations
6.
Bott, Lewis & Steven Frisson. (2022). Salient alternatives facilitate implicatures. PLoS ONE. 17(3). e0265781–e0265781. 7 indexed citations
7.
Elsherif, Mahmoud Medhat, Linda Wheeldon, & Steven Frisson. (2021). Phonological precision for word recognition in skilled readers. Quarterly Journal of Experimental Psychology. 75(6). 1021–1040. 5 indexed citations
8.
Latham, Keziah, David L. Mann, Matthew A. Timmis, et al.. (2021). Do visual fields need to be considered in classification criteria within visually impaired shooting?. Journal of Sports Sciences. 39(sup1). 150–158. 6 indexed citations
9.
Elsherif, Mahmoud Medhat, Linda Wheeldon, & Steven Frisson. (2021). Do dyslexia and stuttering share a processing deficit?. Journal of Fluency Disorders. 67. 105827–105827. 17 indexed citations
10.
Frisson, Steven, et al.. (2021). Neural evidence for lexical parafoveal processing. Nature Communications. 12(1). 5234–5234. 33 indexed citations
11.
Elsherif, Mahmoud Medhat, et al.. (2019). Two words as one: A multi-naming investigation of the age-of-acquisition effect in compound-word processing. Memory & Cognition. 48(4). 511–525. 15 indexed citations
12.
Blundell, James, Steven Frisson, Anupam Chakrapani, et al.. (2017). Oculomotor abnormalities in children with Niemann-Pick type C. Molecular Genetics and Metabolism. 123(2). 159–168. 10 indexed citations
13.
Wallis, Yvonne, et al.. (2015). BDNF Val66Met and 5-HTTLPR Genotype are Each Associated with Visual Scanning Patterns of Faces in Young Children. Frontiers in Behavioral Neuroscience. 9. 175–175. 9 indexed citations
14.
Bott, Lewis, et al.. (2015). The time course of familiar metonymy.. Journal of Experimental Psychology Learning Memory and Cognition. 42(7). 1160–1170. 6 indexed citations
15.
Frisson, Steven & Brian McElree. (2008). Complement coercion is not modulated by competition: Evidence from eye movements.. Journal of Experimental Psychology Learning Memory and Cognition. 34(1). 1–11. 37 indexed citations
16.
Harris, Jesse, Liina Pylkkänen, Brian McElree, & Steven Frisson. (2007). The cost of question concealment: Eye-tracking and MEG evidence. Brain and Language. 107(1). 44–61. 14 indexed citations
17.
Frisson, Steven, et al.. (2007). The role of semantic transparency in the processing of English compound words. British Journal of Psychology. 99(1). 87–107. 79 indexed citations
18.
Frisson, Steven & Dominiek Sandra. (2002). Homophonic Forms of Regularly Inflected Verbs Have Their Own Orthographic Representations: A Developmental Perspective on Spelling Errors. Brain and Language. 81(1-3). 545–554. 34 indexed citations
19.
Brisard, Frank, Steven Frisson, & Dominiek Sandra. (1999). Processing unfamiliar metaphors during self-paced reading. Conference Cognitive Science. 86–91. 2 indexed citations
20.
Sandra, Dominiek, et al.. (1999). Why Simple Verb Forms Can Be So Difficult to Spell: The Influence of Homophone Frequency and Distance in Dutch. Brain and Language. 68(1-2). 277–283. 46 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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