Lynn Grant

867 citations
23 papers · 364 indexed · h-index 11

Impact in

Papers in

Lynn Grant

23 papers receiving 298 citations

Peers

Lynn Grant
Comparison fields: 5 of 39
  • Language and Linguistics 260
  • Developmental and Educational Psychology 151
  • Literature and Literary Theory 111
  • Linguistics and Language 41
  • Experimental and Cognitive Psychology 83
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Martin Hewings United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Lynn Grant

Since Specialization
Citations

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

Fields of papers citing papers by Lynn Grant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Lynn Grant, 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 Lynn Grant Line = papers co-authored together Lynn Grant links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20225
2 202210
3 20223
4
An Achilles’ Heel? Helping Interpreting Students Gain Greater Awareness of Literal and Idiomatic English
20203
5 201816
6 201721
7 20162
8 20167
9 201624
10 20132
11 20125
12
The frequency and function of 'just' in New Zealand academic and general spoken English
20111
13 201113
14 200722
15 200617
16 200524
17 2004108
18 20043
19
Teaching Conversation Using a Television Soap.
19964
20 19875

About Lynn Grant

Lynn Grant is a scholar working on Language and Linguistics, Linguistics and Language, Literature and Literary Theory, Developmental and Educational Psychology and Artificial Intelligence, having authored 23 papers that have together received 364 indexed citations. Recurring topics across this work include EFL/ESL Teaching and Learning (7 papers), Second Language Acquisition and Learning (6 papers), Lexicography and Language Studies (6 papers), Discourse Analysis in Language Studies (5 papers), Second Language Learning and Teaching (4 papers), Natural Language Processing Techniques (4 papers), Mobile Learning in Education (3 papers) and Multilingual Education and Policy (3 papers). The work is most often cited by research in Language and Linguistics (260 citations), Developmental and Educational Psychology (151 citations), Literature and Literary Theory (111 citations), Linguistics and Language (41 citations) and Experimental and Cognitive Psychology (83 citations). Lynn Grant has collaborated with scholars based in New Zealand, China and Vietnam. Frequent co-authors include Donna Starks, Hang T.T. Nguyen, Paul Nation, Ineke H.M. Crezee, Sharon Harvey, Andy M. Connor, Vickel Narayan, Michael Sullivan and Pat Strauss. Their work appears in journals such as ITL Review of Applied Linguistics, IEEE Transactions on Professional Communication, Perspectives, Journal of Pragmatics and International Journal of Mobile and Blended Learning.

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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