Neil Cowie

634 citations
40 papers · 384 indexed · h-index 9

Neil Cowie

37 papers receiving 335 citations

Peers

Neil Cowie
Comparison fields: 5 of 71
  • Language and Linguistics 100
  • Education 180
  • Family Practice 11
  • Literature and Literary Theory 52
  • Computer Science Applications 25
Replace Chi Cheung Ruby Yang with:
Chi Cheung Ruby Yang Hong Kong
Julie Foertsch United States
Maxine Alterio New Zealand
Ting Dong United States
Anneke Zanting Netherlands
Ismaeil Fazel Canada
Ellen Lavelle United States
Ellen Stevens United States
Jun Jin Hong Kong
Özcan Demirel Türkiye
Neil Cowie relative to Chi Cheung Ruby Yang Hong Kong Chi Cheung Ruby Yang's profile →
Citations per field
00.5×2.8×
Chi Cheung Ruby Yang · 1×
Citations per year

Countries citing papers authored by Neil Cowie

Since Specialization
Citations

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

Fields of papers citing papers by Neil Cowie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20232
3 202213
4 20223
5 20227
6 202215
7 20212
8 20211
9 20212
10 20202
11 20209
12 20205
13 20174
14 201647
15 20151
16 20153
17 20140
18 20121
19 19953
20
Developing partnerships around the physical education curriculum - the Sports Council's role.
19922

About Neil Cowie

Neil Cowie is a scholar working on Computer Science Applications, Language and Linguistics and Developmental and Educational Psychology, having authored 40 papers that have together received 384 indexed citations. Recurring topics across this work include Mobile Learning in Education (6 papers), Online Learning and Analytics (5 papers), Online and Blended Learning (5 papers), Innovative Teaching and Learning Methods (5 papers), EFL/ESL Teaching and Learning (5 papers), Second Language Learning and Teaching (5 papers), Visual and Cognitive Learning Processes (3 papers) and Simulation-Based Education in Healthcare (3 papers). The work is most often cited by research in Language and Linguistics (100 citations), Education (180 citations) and Family Practice (11 citations). Neil Cowie has collaborated with scholars based in Japan, Australia and New Zealand. Frequent co-authors include Keiko Sakui, Michelle Chiu, Noel O’Regan, Christopher Charles Deneen, Tobias Everett, Vickel Narayan, Megan A. Hayter, T. Laine Bosma, Jordan Tarshis and James Birt. Their work appears in journals such as ELT Journal, The JALT CALL Journal, The International Journal for Academic Development, Australasian Journal of Educational Technology and Teaching and Teacher 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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