Davide Crepaldi

2.6k total citations
68 papers, 1.7k citations indexed

About

Davide Crepaldi is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Davide Crepaldi has authored 68 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Developmental and Educational Psychology, 44 papers in Cognitive Neuroscience and 22 papers in Experimental and Cognitive Psychology. Recurrent topics in Davide Crepaldi's work include Reading and Literacy Development (40 papers), Neurobiology of Language and Bilingualism (38 papers) and Multisensory perception and integration (12 papers). Davide Crepaldi is often cited by papers focused on Reading and Literacy Development (40 papers), Neurobiology of Language and Bilingualism (38 papers) and Multisensory perception and integration (12 papers). Davide Crepaldi collaborates with scholars based in Italy, United Kingdom and Spain. Davide Crepaldi's co-authors include Simona Amenta, Claudio Luzzatti, Kathleen Rastle, Eraldo Paulesu, Manuela Berlingeri, Marco Marelli, Colin J. Davis, S Aggujaro, Lyndsey Nickels and Max Coltheart and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Current Biology.

In The Last Decade

Davide Crepaldi

62 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Davide Crepaldi Italy 21 1.2k 1.0k 410 254 179 68 1.7k
Daniel J. Acheson Netherlands 19 1.4k 1.1× 880 0.8× 450 1.1× 170 0.7× 56 0.3× 30 1.8k
Laura M. Gonnerman United States 14 1.3k 1.0× 1.0k 1.0× 351 0.9× 174 0.7× 125 0.7× 29 1.7k
Alessandro Laudanna Italy 14 1.0k 0.8× 985 0.9× 309 0.8× 101 0.4× 124 0.7× 41 1.4k
Jared M. Novick United States 19 1.7k 1.3× 1.2k 1.1× 479 1.2× 131 0.5× 60 0.3× 32 1.9k
Horacio A. Barber Spain 28 2.4k 1.9× 1.8k 1.8× 607 1.5× 340 1.3× 97 0.5× 46 2.7k
Matthias Schlesewsky Germany 17 1.8k 1.5× 1.3k 1.3× 463 1.1× 190 0.7× 75 0.4× 29 2.1k
Fermı́n Moscoso del Prado Martı́n United States 16 1.1k 0.8× 777 0.7× 542 1.3× 218 0.9× 69 0.4× 42 1.6k
Donald J. Bolger United States 17 1.2k 0.9× 1.1k 1.0× 360 0.9× 81 0.3× 234 1.3× 33 1.7k
Frank Wijnen Netherlands 27 819 0.7× 1.3k 1.2× 454 1.1× 65 0.3× 177 1.0× 107 1.9k
Anna M. Woollams United Kingdom 29 2.2k 1.8× 1.3k 1.2× 387 0.9× 351 1.4× 114 0.6× 64 2.5k

Countries citing papers authored by Davide Crepaldi

Since Specialization
Citations

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

Fields of papers citing papers by Davide Crepaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Crepaldi

This figure shows the co-authorship network connecting the top 25 collaborators of Davide Crepaldi. A scholar is included among the top collaborators of Davide Crepaldi 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 Davide Crepaldi. Davide Crepaldi 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.
Crepaldi, Davide, et al.. (2024). The role of morphology in novel word learning: a registered report. Royal Society Open Science. 11(6). 230094–230094. 1 indexed citations
2.
Fernández‐López, María, et al.. (2024). Top-down feedback normalizes distortion in early visual word recognition: Insights from masked priming. Psychonomic Bulletin & Review. 32(2). 920–929. 1 indexed citations
3.
Gambi, Chiara, et al.. (2024). Do Children (and Adults) Benefit From a Prediction Error Boost in One-Shot Word Learning?. Journal of Cognition. 7(1). 13–13. 1 indexed citations
4.
Ktori, Maria, et al.. (2023). Morphemes as letter chunks: Linguistic information enhances the learning of visual regularities. Journal of Memory and Language. 130. 104411–104411. 5 indexed citations
5.
Xu, Yangwen, et al.. (2023). Similar object shape representation encoded in the inferolateral occipitotemporal cortex of sighted and early blind people. PLoS Biology. 21(7). e3001930–e3001930. 7 indexed citations
6.
7.
Ktori, Maria, et al.. (2022). Frequency-based neural discrimination in fast periodic visual stimulation. Cortex. 148. 193–203. 11 indexed citations
8.
Zanini, Chiara, et al.. (2021). Form and Function: A Study on the Distribution of the Inflectional Endings in Italian Nouns and Adjectives. Frontiers in Psychology. 12. 720228–720228. 6 indexed citations
9.
Crepaldi, Davide, et al.. (2021). Letter chunk frequency does not explain morphological masked priming. Psychonomic Bulletin & Review. 29(2). 589–599. 3 indexed citations
10.
Rumiati, Raffaella I., et al.. (2021). No fruits without color: Cross-modal priming and EEG reveal different roles for different features across semantic categories. PLoS ONE. 16(4). e0234219–e0234219. 1 indexed citations
11.
Ktori, Maria, et al.. (2021). Morpheme Position Coding in Reading Development as Explored With a Letter Search Task. Journal of Cognition. 4(1). 16–16. 1 indexed citations
12.
Crepaldi, Davide, et al.. (2019). Food in the corner and money in the cashews: Semantic activation of embedded stems in the presence or absence of a morphological structure. Psychonomic Bulletin & Review. 27(1). 155–161. 5 indexed citations
13.
Bottini, Roberto, et al.. (2019). Augmented Modality Exclusivity Norms for Concrete and Abstract Italian Property Words. Journal of Cognition. 2(1). 42–42. 19 indexed citations
14.
Borelli, Eleonora, Davide Crepaldi, Carlo Adolfo Porro, & Cristina Cacciari. (2018). The psycholinguistic and affective structure of words conveying pain. PLoS ONE. 13(6). e0199658–e0199658. 18 indexed citations
15.
Bottini, Roberto, Davide Crepaldi, Daniel Casasanto, Virginie Crollen, & Olivier Collignon. (2015). Space and time in the sighted and blind. Cognition. 141. 67–72. 52 indexed citations
16.
Amenta, Simona, Marco Marelli, & Davide Crepaldi. (2015). The fruitless effort of growing a fruitless tree: Early morpho-orthographic and morpho-semantic effects in sentence reading.. Journal of Experimental Psychology Learning Memory and Cognition. 41(5). 1587–1596. 40 indexed citations
17.
Crepaldi, Davide & Simona Amenta. (2013). Cognitive theory development as we know it: specificity, explanatory power, and the brain. Frontiers in Psychology. 4. 56–56.
18.
Crepaldi, Davide, Manuela Berlingeri, Isabella Cattinelli, et al.. (2013). Clustering the lexicon in the brain: a meta-analysis of the neurofunctional evidence on noun and verb processing. Frontiers in Human Neuroscience. 7. 303–303. 65 indexed citations
19.
Crepaldi, Davide, Kathleen Rastle, & Colin J. Davis. (2010). Morphemes in their place: Evidence for position-specific identification of suffixes. Memory & Cognition. 38(3). 312–321. 63 indexed citations
20.
Berlingeri, Manuela, et al.. (2008). Nouns and verbs in the brain: Grammatical class and task specific effects as revealed by fMRI. Cognitive Neuropsychology. 25(4). 528–558. 76 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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