Lyn May

463 citations
29 papers · 330 · h-index 10

Impact in

Papers in

Lyn May

27 papers receiving 305 citations

Peers

Lyn May
Comparison fields: 5 of 33
  • Language and Linguistics 157
  • Literature and Literary Theory 134
  • Education 178
  • Linguistics and Language 23
  • Developmental and Educational Psychology 57
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Orlando R. Kelm United States
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Hacer Hande Uysal Türkiye
Mirja Tarnanen Finland
Servet Çelïk Türkiye
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Citations per year

Countries citing papers authored by Lyn May

Since Specialization
Citations

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

Fields of papers citing papers by Lyn May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Lyn May, 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 Lyn May Line = papers co-authored together Lyn May links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201246
2 200242
3 201339
4 201334
5 201930
6
Transitioning from university to the workplace:Stakeholder perceptions of academic and professional writing demands.
201628
7
An examination of rater orientations on a paired candidate discussion task through stimulated verbal recall
200620
8 201916
9
Interaction in a Paired Speaking Test: The Rater’s Perspective
201111
10 202310
11
Learning oriented feedback in the development and assessment of interactional competence
20188
12 20227
13 20117
14 20165
15 20234
16 20094
17
Assessment of oral proficiency in EAP programs : a case for pair interaction
20003
18
Developing speaking assessment tasks to reflect the 'social turn' in language testing
20103
19 20112
20 20162

About Lyn May

Lyn May is a scholar working on Language and Linguistics, Literature and Literary Theory, Education, General Health Professions and Social Psychology, having authored 29 papers that have together received 330 indexed citations. Recurring topics across this work include EFL/ESL Teaching and Learning (17 papers), Second Language Learning and Teaching (15 papers), Student Assessment and Feedback (8 papers), Language, Discourse, Communication Strategies (6 papers), Discourse Analysis in Language Studies (3 papers), Interpreting and Communication in Healthcare (3 papers), School Choice and Performance (2 papers) and Writing and Handwriting Education (1 paper). The work is most often cited by research in Language and Linguistics (157 citations), Literature and Literary Theory (134 citations), Education (178 citations), Linguistics and Language (23 citations) and Developmental and Educational Psychology (57 citations). Lyn May has collaborated with scholars based in Australia, China and United Kingdom. Frequent co-authors include Margaret Kettle, Val Klenowski, Tim McNamara, Kathryn Hill, Evelina D. Galaczi, Fumiyo Nakatsuhara, Ute Knoch, Neomy Storch, Susy Macqueen and John Pill. Their work appears in journals such as Assessment in Education Principles Policy and Practice, Language Testing, Chinese Journal of Applied Linguistics, The Asia-Pacific Education Researcher and The Australian Educational Researcher.

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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