Philip Durrant

2.7k citations
32 papers · 1.2k · h-index 14

Impact in

Papers in

Philip Durrant

30 papers receiving 1.1k citations

Peers

Philip Durrant
Comparison fields: 5 of 47
  • Developmental and Educational Psychology 919
  • Language and Linguistics 615
  • Literature and Literary Theory 394
  • Artificial Intelligence 584
  • Experimental and Cognitive Psychology 137
Replace Magali Paquot with:
Magali Paquot Belgium
Ute Römer United States
June Eyckmans Belgium
Henrik Gyllstad Sweden
Rita Simpson‐Vlach United States
Seth Lindstromberg Belgium
James Milton United Kingdom
Britt Erman Sweden
Nadja Nesselhauf Germany
David D. Qian Hong Kong
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Citations per field
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Citations per year

Countries citing papers authored by Philip Durrant

Since Specialization
Citations

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

Fields of papers citing papers by Philip Durrant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009205
2 2010136
3 2015113
4 2015108
5 2010105
6 2009102
7 201367
8 201064
9 201663
10 201436
11 201831
12 201326
13 202120
14 201614
15 202213
16 201913
17 202011
18
Investigating collocational priming in Turkish
201710
19 20219
20 20229

About Philip Durrant

Philip Durrant is a scholar working on Developmental and Educational Psychology, Artificial Intelligence, Language and Linguistics, Literature and Literary Theory and Education, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Second Language Acquisition and Learning (24 papers), Natural Language Processing Techniques (11 papers), Text Readability and Simplification (10 papers), Discourse Analysis in Language Studies (8 papers), Writing and Handwriting Education (6 papers), EFL/ESL Teaching and Learning (6 papers), Lexicography and Language Studies (5 papers) and Reading and Literacy Development (5 papers). The work is most often cited by research in Developmental and Educational Psychology (919 citations), Language and Linguistics (615 citations), Literature and Literary Theory (394 citations), Artificial Intelligence (584 citations) and Experimental and Cognitive Psychology (137 citations). Philip Durrant has collaborated with scholars based in United Kingdom, Türkiye and Saudi Arabia. Frequent co-authors include Norbert Schmitt, Alice Doherty, Julie Mathews-Aydınlı, J. McLaughlin, Sylviane Granger, Fanny Meunier, Nick C. Ellis, Anke Lüdeling, Nicolas Ballier and Stefan Τh. Gries. Their work appears in journals such as Applied Linguistics, English for Specific Purposes, Corpus Linguistics and Linguistic Theory, International Journal of Corpus Linguistics and Higher Education Research & Development.

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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