Dalila Ayoun

1.4k total citations
20 papers, 339 citations indexed

About

Dalila Ayoun is a scholar working on Language and Linguistics, Developmental and Educational Psychology and Linguistics and Language. According to data from OpenAlex, Dalila Ayoun has authored 20 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Language and Linguistics, 11 papers in Developmental and Educational Psychology and 7 papers in Linguistics and Language. Recurrent topics in Dalila Ayoun's work include EFL/ESL Teaching and Learning (10 papers), Second Language Acquisition and Learning (9 papers) and Linguistics and Discourse Analysis (5 papers). Dalila Ayoun is often cited by papers focused on EFL/ESL Teaching and Learning (10 papers), Second Language Acquisition and Learning (9 papers) and Linguistics and Discourse Analysis (5 papers). Dalila Ayoun collaborates with scholars based in United States. Dalila Ayoun's co-authors include M. Rafael Salaberry and Jason Rothman and has published in prestigious journals such as Modern Language Journal, Language Learning and Applied Psycholinguistics.

In The Last Decade

Dalila Ayoun

18 papers receiving 288 citations

Peers

Dalila Ayoun
Comparison fields: 5 of 31
  • Language and Linguistics 268
  • Developmental and Educational Psychology 209
  • Literature and Literary Theory 93
  • Linguistics and Language 71
  • Experimental and Cognitive Psychology 50
Replace J.-M. Dewaele with:
J.-M. Dewaele United Kingdom
Jonas Granfeldt Sweden
Gita Martohardjono United States
Philip Herdina Austria
Yan-kit Ingrid Leung United Kingdom
Peter Ecke United States
C. Ray Graham United States
Britta Hufeisen Germany
María Pilar Safont Jordà Spain
Wynne Wong United States
J.-M. Dewaele United Kingdom View profile →
Citations per field, relative to Dalila Ayoun
Dalila Ayoun · 1×
Citations per year, relative to Dalila Ayoun
Dalila Ayoun · 1×

Countries citing papers authored by Dalila Ayoun

Since Specialization
Citations

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

Fields of papers citing papers by Dalila Ayoun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dalila Ayoun

This figure shows the co-authorship network connecting the top 25 collaborators of Dalila Ayoun. A scholar is included among the top collaborators of Dalila Ayoun 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 Dalila Ayoun. Dalila Ayoun 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
# Work Indexed citations
1 0
2 1
3 13
4 6
5
Generative approaches to the L2 acquisition of temporal-aspectual-mood systems
4
6 23
7 11
8 29
9 30
10 21
11 2
12 25
13 33
14
Parameter setting in language acquisition
19
15 92
16 7
17 4
18 13
19
REVISITING TRADITIONAL ASSUMPTIONS IN PRINCIPLES-AND-PARAMETERS THEORY
0
20 6

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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