Stuart McLean

1.7k citations
78 papers · 984 indexed · h-index 18

Impact in

Papers in

Stuart McLean

70 papers receiving 948 citations

Peers

Stuart McLean
Comparison fields: 5 of 82
  • Developmental and Educational Psychology 750
  • Language and Linguistics 364
  • Artificial Intelligence 497
  • Literature and Literary Theory 116
  • Education 93
Replace David D. Qian with:
David D. Qian Hong Kong
Diane Schmitt United Kingdom
Ana Pellicer‐Sánchez United Kingdom
Tineke Brunfaut United Kingdom
Anna Siyanova‐Chanturia New Zealand
Zahava Goldstein Israel
Stephen Skalicky United States
James Milton United Kingdom
Florence Myles United Kingdom
Sible Andringa Netherlands
Stuart McLean relative to David D. Qian Hong Kong David D. Qian's profile →
Citations per field
00.5×2.8×
David D. Qian · 1×
Citations per year

Countries citing papers authored by Stuart McLean

Since Specialization
Citations

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

Fields of papers citing papers by Stuart McLean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stuart McLean, 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 Stuart McLean Line = papers co-authored together Stuart McLean links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015115
2 202084
3 201764
4 201660
5 202059
6 202041
7
Student Grittiness : A Pilot Study Investigating Scholarly Persistence in EFL Classrooms
201732
8 201632
9 202129
10 202027
11 201523
12 201622
13 201421
14 202120
15 201320
16 201919
17 202119
18 201819
19 202017
20 201517

About Stuart McLean

Stuart McLean is a scholar working on Developmental and Educational Psychology, Artificial Intelligence, Language and Linguistics, Ecology and Literature and Literary Theory, having authored 78 papers that have together received 984 indexed citations. Recurring topics across this work include Second Language Acquisition and Learning (52 papers), Natural Language Processing Techniques (35 papers), Text Readability and Simplification (26 papers), EFL/ESL Teaching and Learning (9 papers), Reading and Literacy Development (9 papers), Lexicography and Language Studies (7 papers), Topic Modeling (5 papers) and Second Language Learning and Teaching (3 papers). The work is most often cited by research in Developmental and Educational Psychology (750 citations), Language and Linguistics (364 citations), Artificial Intelligence (497 citations), Literature and Literary Theory (116 citations) and Education (93 citations). Stuart McLean has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Jeffrey Stewart, Brandon Kramer, Tim Stoeckel, David Beglar, Aaron Olaf Batty, Paul Nation, Joseph P. Vitta, Batia Laufer, Dale Brown and Henrik Gyllstad. Their work appears in journals such as Studies in Second Language Acquisition, System, TESOL Quarterly, Language Assessment Quarterly and Applied Linguistics.

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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