Ana Marcet

629 total citations
50 papers, 457 citations indexed

About

Ana Marcet is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Ana Marcet has authored 50 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Developmental and Educational Psychology, 32 papers in Cognitive Neuroscience and 12 papers in Experimental and Cognitive Psychology. Recurrent topics in Ana Marcet's work include Reading and Literacy Development (40 papers), Neurobiology of Language and Bilingualism (16 papers) and Cognitive and developmental aspects of mathematical skills (12 papers). Ana Marcet is often cited by papers focused on Reading and Literacy Development (40 papers), Neurobiology of Language and Bilingualism (16 papers) and Cognitive and developmental aspects of mathematical skills (12 papers). Ana Marcet collaborates with scholars based in Spain, United States and United Kingdom. Ana Marcet's co-authors include Manuel Perea, María Fernández‐López, Pablo Gómez, Marta Vergara‐Martínez, Eva Gutiérrez, Ana Paula Soares, Montserrat Comesaña, Eva Rosa, Jukka Hyönä and Joana Acha and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Experimental Psychology Learning Memory and Cognition.

In The Last Decade

Ana Marcet

48 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ana Marcet Spain 13 371 292 170 72 64 50 457
Fabienne Chetail Belgium 17 449 1.2× 333 1.1× 147 0.9× 63 0.9× 145 2.3× 38 551
Florian Hintz Netherlands 10 173 0.5× 255 0.9× 117 0.7× 43 0.6× 26 0.4× 37 340
Jonathan Mirault France 11 264 0.7× 251 0.9× 88 0.5× 73 1.0× 31 0.5× 42 349
Jessica Nelson United States 6 299 0.8× 296 1.0× 73 0.4× 40 0.6× 42 0.7× 8 403
Menahem Yeari Israel 11 153 0.4× 207 0.7× 85 0.5× 42 0.6× 17 0.3× 26 363
Keith S. Apfelbaum United States 12 262 0.7× 204 0.7× 208 1.2× 71 1.0× 26 0.4× 20 413
Gabriela Meade United States 13 311 0.8× 314 1.1× 92 0.5× 30 0.4× 26 0.4× 38 396
Jonathan Grainger France 5 399 1.1× 409 1.4× 119 0.7× 39 0.5× 68 1.1× 8 493
Yiu‐Kei Tsang Hong Kong 16 355 1.0× 399 1.4× 216 1.3× 95 1.3× 32 0.5× 33 543
Daniel Zagar France 13 313 0.8× 292 1.0× 128 0.8× 51 0.7× 56 0.9× 28 440

Countries citing papers authored by Ana Marcet

Since Specialization
Citations

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

Fields of papers citing papers by Ana Marcet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ana Marcet

This figure shows the co-authorship network connecting the top 25 collaborators of Ana Marcet. A scholar is included among the top collaborators of Ana Marcet 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 Ana Marcet. Ana Marcet 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.
2.
Perea, Manuel, et al.. (2024). Tracking the brain signature of (mis)spelled logotypes via letter transpositions and replacements. Scientific Reports. 14(1). 18538–18538. 3 indexed citations
3.
Perea, Manuel, et al.. (2023). Examining Letter Detector Tolerance through Offset Letter Halves: Evidence from Lexical Decision. Journal of Cognition. 6(1). 56–56. 1 indexed citations
4.
Fernández‐López, María, Manuel Perea, & Ana Marcet. (2023). Breaking the boundaries: the power of ligatures in visual-word recognition. Frontiers in Psychology. 14. 1166192–1166192.
5.
Perea, Manuel, et al.. (2023). One more trip to Barcetona: on the special status of visual similarity effects in city names. Psychological Research. 88(1). 271–283. 8 indexed citations
6.
Perea, Manuel, Jukka Hyönä, & Ana Marcet. (2021). Does vowel harmony affect visual word recognition? Evidence from Finnish.. Journal of Experimental Psychology Learning Memory and Cognition. 48(12). 2004–2014. 9 indexed citations
7.
Perea, Manuel, et al.. (2021). Does the cowl make the monk? Detecting counterfeits in brand names versus logos. Psychonomic Bulletin & Review. 28(3). 969–977. 9 indexed citations
8.
Marcet, Ana, et al.. (2021). The Omission of Accent Marks Does Not Hinder Word Recognition: Evidence From Spanish. Frontiers in Psychology. 12. 794923–794923. 3 indexed citations
9.
Marcet, Ana, et al.. (2021). What are the letters e and é in a language with vowel reduction? The case of Catalan. Applied Psycholinguistics. 43(1). 193–210. 6 indexed citations
10.
Perea, Manuel, et al.. (2020). Does a mark make a difference? Visual similarity effects with accented vowels. Psychological Research. 85(6). 2279–2290. 12 indexed citations
11.
Gutiérrez, Eva, Ana Marcet, & Manuel Perea. (2019). Tracking the time course of letter visual-similarity effects during word recognition: A masked priming ERP investigation. Cognitive Affective & Behavioral Neuroscience. 19(4). 966–984. 22 indexed citations
12.
Perea, Manuel, Ana Marcet, Marta Vergara‐Martínez, & Pablo Gómez. (2019). On the limits of familiarity accounts in lexical decision: The case of repetition effects. Quarterly Journal of Experimental Psychology. 73(3). 375–383. 1 indexed citations
13.
Marcet, Ana & Manuel Perea. (2018). Visual letter similarity effects during sentence reading: Evidence from the boundary technique. Acta Psychologica. 190. 142–149. 16 indexed citations
14.
Fernández‐López, María, Ana Marcet, & Manuel Perea. (2018). Can response congruency effects be obtained in masked priming lexical decision?. Journal of Experimental Psychology Learning Memory and Cognition. 45(9). 1683–1702. 12 indexed citations
15.
Perea, Manuel, et al.. (2018). Is masked priming modulated by memory load? A test of the automaticity of masked identity priming in lexical decision. Memory & Cognition. 46(7). 1127–1135. 10 indexed citations
16.
Perea, Manuel, Eva Rosa, & Ana Marcet. (2017). Where is the locus of the lowercase advantage during sentence reading?. Acta Psychologica. 177. 30–35. 13 indexed citations
17.
Marcet, Ana & Manuel Perea. (2017). Can I order a burger at rnacdonalds.com? Visual similarity effects of multi-letter combinations at the early stages of word recognition.. Journal of Experimental Psychology Learning Memory and Cognition. 44(5). 699–706. 25 indexed citations
18.
Perea, Manuel, et al.. (2016). Does Extra Interletter Spacing Help Text Reading in Skilled Adult Readers?. The Spanish Journal of Psychology. 19. E26–E26. 18 indexed citations
19.
Perea, Manuel, Ana Marcet, & Marta Vergara‐Martínez. (2016). Phonological-Lexical Feedback during Early Abstract Encoding: The Case of Deaf Readers. PLoS ONE. 11(1). e0146265–e0146265. 15 indexed citations
20.
Marcet, Ana & Manuel Perea. (2016). Is nevtral NEUTRAL? Visual similarity effects in the early phases of written-word recognition. Psychonomic Bulletin & Review. 24(4). 1180–1185. 32 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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