Daniel Zagar

31 papers receiving 510 citations

Peers

Daniel Zagar
Comparison fields: 5 of 46
  • Developmental and Educational Psychology 382
  • Cognitive Neuroscience 344
  • Experimental and Cognitive Psychology 145
  • Statistics and Probability 73
  • Language and Linguistics 92
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Clinton L. Johns United States
Luisa Meroni United States
Sid Kouider France
Alberto Domı́nguez Spain
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Citations per year

Countries citing papers authored by Daniel Zagar

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Zagar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Daniel Zagar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Zagar Line = papers co-authored together Daniel Zagar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199787
2
Psychologie cognitive de la lecture
199251
3 200650
4 200541
5 200640
6 201339
7 200029
8 201323
9 200020
10 200418
11 200718
12 202016
13 199716
14 201213
15 202013
16 200812
17 200211
18 20069
19 20176
20 20006

About Daniel Zagar

Daniel Zagar is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience, Experimental and Cognitive Psychology, Statistics and Probability and Language and Linguistics, having authored 33 papers that have together received 554 indexed citations. Recurring topics across this work include Reading and Literacy Development (18 papers), Neurobiology of Language and Bilingualism (12 papers), Language Development and Disorders (5 papers), Neural and Behavioral Psychology Studies (4 papers), Cognitive and developmental aspects of mathematical skills (4 papers), Writing and Handwriting Education (3 papers), EFL/ESL Teaching and Learning (3 papers) and Multisensory perception and integration (3 papers). The work is most often cited by research in Developmental and Educational Psychology (382 citations), Cognitive Neuroscience (344 citations), Experimental and Cognitive Psychology (145 citations), Statistics and Probability (73 citations) and Language and Linguistics (92 citations). Daniel Zagar has collaborated with scholars based in France and Switzerland. Frequent co-authors include Nadège Doignon‐Camus, Stéphanie Mathey, Joël Pynte, Alix Seigneuric, Renaud Brochard, Michel Fayol, Jean-Émile Gombert, Liliane Sprenger-Charolles, Christelle Robert and Fanny Meunier. Their work appears in journals such as Journal of Experimental Psychology Human Perception & Performance, The Quarterly Journal of Experimental Psychology Section A, Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale, Reading Research Quarterly and Acta Psychologica.

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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