Douglas Macbeth

1.8k citations
22 papers · 1.1k · h-index 13

Impact in

Papers in

Douglas Macbeth

21 papers receiving 926 citations

Peers

Douglas Macbeth
Comparison fields: 5 of 87
  • Language and Linguistics 550
  • Literature and Literary Theory 274
  • Linguistics and Language 107
  • Human Factors and Ergonomics 46
  • Experimental and Cognitive Psychology 199
Replace Cynthia Wallat with:
Cynthia Wallat United States
A. McHoul Australia
Tom Koole Netherlands
Janet Maybin United Kingdom
Ann‐Carita Evaldsson Sweden
Deborah Hicks United States
Ray McDermott United States
A. J. Wootton United Kingdom
Lianjiang Jiang Hong Kong
Catherine Beauchamp Canada
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Citations per field
00.5×4.8×
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Citations per year

Countries citing papers authored by Douglas Macbeth

Since Specialization
Citations

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

Fields of papers citing papers by Douglas Macbeth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Douglas Macbeth, 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 Douglas Macbeth Line = papers co-authored together Douglas Macbeth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001287
2 2004232
3 2003108
4 200995
5 199166
6 199049
7 200038
8 199432
9 201224
10 199221
11 201620
12 199618
13 201614
14 201612
15 201412
16 20028
17 19987
18 19946
19 20025
20 20072

About Douglas Macbeth

Douglas Macbeth is a scholar working on Language and Linguistics, Experimental and Cognitive Psychology, Literature and Literary Theory, Sociology and Political Science and Human Factors and Ergonomics, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Language, Discourse, Communication Strategies (13 papers), Language, Metaphor, and Cognition (8 papers), Discourse Analysis in Language Studies (6 papers), Innovative Education and Learning Practices (3 papers), EFL/ESL Teaching and Learning (2 papers), Educator Training and Historical Pedagogy (2 papers), Management and Organizational Studies (2 papers) and Social Representations and Identity (2 papers). The work is most often cited by research in Language and Linguistics (550 citations), Literature and Literary Theory (274 citations), Linguistics and Language (107 citations), Human Factors and Ergonomics (46 citations) and Experimental and Cognitive Psychology (199 citations). Douglas Macbeth has collaborated with scholars based in United States. Frequent co-authors include Michael Lynch and Jean Wong. Their work appears in journals such as Discourse Studies, Human Studies, Journal of the Learning Sciences, Qualitative Inquiry and International Journal of Qualitative Studies in Education.

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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