Tom Cobb

4.8k citations
48 papers · 2.7k · 1 hit paper · h-index 23

Impact in

Papers in

Tom Cobb

43 papers receiving 2.3k citations

Tom Cobb's Hit Papers

Corpus Use in Language Learning: A Meta‐Analysis 2017 · 248 citations
2480+3+6Years since publication50100150200

Peers

Tom Cobb
Comparison fields: 5 of 112
  • Developmental and Educational Psychology 1.8k
  • Language and Linguistics 1.2k
  • Literature and Literary Theory 557
  • Artificial Intelligence 999
  • Linguistics and Language 62
Replace David Singleton with:
David Singleton Ireland
Rob Waring United States
Laurence Anthony Japan
Miyuki Sasaki Japan
John Airey Sweden
Junjie Gavin Wu China
Defeng Li China
Yu‐Chih Sun Taiwan
Osamu Takeuchi Japan
Donald C. Freeman United States
Tom Cobb relative to David Singleton Ireland David Singleton's profile →
Citations per field
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David Singleton · 1×
Citations per year

Countries citing papers authored by Tom Cobb

Since Specialization
Citations

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

Fields of papers citing papers by Tom Cobb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998379
2 2009302
3
Corpus Use in Language Learning: A Meta‐Analysis
Hit paper breakdown →
2017248
4 2001217
5 1997168
6 2010157
7 2007132
8 2015114
9 200399
10 199993
11 201579
12 200569
13 199769
14 200365
15 199962
16 201358
17 201141
18 200041
19 200336
20 201933

About Tom Cobb

Tom Cobb is a scholar working on Developmental and Educational Psychology, Artificial Intelligence, Language and Linguistics, Electrical and Electronic Engineering and Literature and Literary Theory, having authored 48 papers that have together received 2.7k indexed citations. Recurring topics across this work include Second Language Acquisition and Learning (27 papers), Natural Language Processing Techniques (21 papers), Lexicography and Language Studies (8 papers), EFL/ESL Teaching and Learning (8 papers), Text Readability and Simplification (5 papers), Second Language Learning and Teaching (4 papers), Particle Accelerators and Free-Electron Lasers (3 papers) and Advanced X-ray Imaging Techniques (3 papers). The work is most often cited by research in Developmental and Educational Psychology (1.8k citations), Language and Linguistics (1.2k citations), Literature and Literary Theory (557 citations), Artificial Intelligence (999 citations) and Linguistics and Language (62 citations). Tom Cobb has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Marlise Horst, Paul Meara, Alex Boulton, Nina Spada, Chiu C. Tang, Fajin Yuan, Julia E. Parker, Stephen P. Thompson, Joseph L. Potter and Batia Laufer. Their work appears in journals such as Canadian Modern Language Review/ La Revue canadienne des langues vivantes, System, Educational Technology Research and Development, Language learning & technology and Journal of Applied Crystallography.

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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