Caroline Payant

1.0k citations
38 papers · 504 · h-index 13

Impact in

Papers in

Caroline Payant

34 papers receiving 466 citations

Peers

Caroline Payant
Comparison fields: 5 of 33
  • Language and Linguistics 319
  • Literature and Literary Theory 262
  • Developmental and Educational Psychology 199
  • Linguistics and Language 72
  • Education 199
Replace Mu‐Hsuan Chou with:
Mu‐Hsuan Chou Taiwan
Gillian Humphreys Hong Kong
Joel M. Magogwe Botswana
Mia Victori Spain
Marta González‐Lloret United States
Freda Mishan Ireland
Ana María Fernández Dobao United States
Stella Hurd United Kingdom
Takako Nishino Japan
Agneta M.‐L. Svalberg United Kingdom
Caroline Payant relative to Mu‐Hsuan Chou Taiwan Mu‐Hsuan Chou's profile →
Citations per field
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Mu‐Hsuan Chou · 1×
Citations per year

Countries citing papers authored by Caroline Payant

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Payant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Caroline Payant, 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 Caroline Payant Line = papers co-authored together Caroline Payant links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201481
2 201371
3 201557
4 201736
5 201929
6 202229
7 201924
8 201616
9 201215
10 202015
11 202214
12 201413
13 202112
14 201511
15 202210
16 20189
17 20159
18 20177
19 20177
20 20166

About Caroline Payant

Caroline Payant is a scholar working on Language and Linguistics, Literature and Literary Theory, Education, Developmental and Educational Psychology and Linguistics and Language, having authored 38 papers that have together received 504 indexed citations. Recurring topics across this work include EFL/ESL Teaching and Learning (27 papers), Second Language Learning and Teaching (17 papers), Discourse Analysis in Language Studies (8 papers), Second Language Acquisition and Learning (8 papers), Reflective Practices in Education (6 papers), French Language Learning Methods (5 papers), Multilingual Education and Policy (5 papers) and Writing and Handwriting Education (4 papers). The work is most often cited by research in Language and Linguistics (319 citations), Literature and Literary Theory (262 citations), Developmental and Educational Psychology (199 citations), Linguistics and Language (72 citations) and Education (199 citations). Caroline Payant has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include YouJin Kim, Pamela Pearson, Kim McDonough, John Murphy, Angelica Galante, Jack A. Hardy and Diane Belcher. Their work appears in journals such as Canadian Modern Language Review/ La Revue canadienne des langues vivantes, TESOL Journal, International Journal of Bilingual Education and Bilingualism, Journal of Second Language Writing and Language Teaching Research.

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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