Jack Grieve

2.1k citations
48 papers · 880 · h-index 15

Impact in

Papers in

Jack Grieve

41 papers receiving 797 citations

Peers

Jack Grieve
Comparison fields: 5 of 67
  • Linguistics and Language 348
  • Language and Linguistics 263
  • Human-Computer Interaction 73
  • Communication 82
  • Artificial Intelligence 368
Replace Dirk Speelman with:
Dirk Speelman Belgium
Dawn Archer United Kingdom
Lindsay J. Whaley United States
Václav Březina United Kingdom
Marianne Hundt Switzerland
Bernd Kortmann Germany
Elena Tognini-Bonelli Czechia
Richard Xiao United Kingdom
Bernadette Malinowski Germany
François Rastier France
Jack Grieve relative to Dirk Speelman Belgium Dirk Speelman's profile →
Citations per field
00.5×
Dirk Speelman · 1×
Citations per year

Countries citing papers authored by Jack Grieve

Since Specialization
Citations

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

Fields of papers citing papers by Jack Grieve

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jack Grieve, 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 Jack Grieve Line = papers co-authored together Jack Grieve 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
Analyzing Appraisal Automatically
2004118
2 201594
3 201970
4 201161
5 201847
6 201645
7 201644
8 201943
9 201742
10 201640
11
A corpus-based regional dialect survey of grammatical variation in written standard American English
200922
12 202322
13 202120
14 201119
15 201318
16 201814
17 202013
18 201212
19 202112
20 201312

About Jack Grieve

Jack Grieve is a scholar working on Linguistics and Language, Language and Linguistics, Artificial Intelligence, Experimental and Cognitive Psychology and Sociology and Political Science, having authored 48 papers that have together received 880 indexed citations. Recurring topics across this work include Linguistic Variation and Morphology (26 papers), Natural Language Processing Techniques (10 papers), Language, Discourse, Communication Strategies (8 papers), Hate Speech and Cyberbullying Detection (7 papers), Authorship Attribution and Profiling (7 papers), Phonetics and Phonology Research (6 papers), Digital Communication and Language (5 papers) and Spanish Linguistics and Language Studies (5 papers). The work is most often cited by research in Linguistics and Language (348 citations), Language and Linguistics (263 citations), Human-Computer Interaction (73 citations), Communication (82 citations) and Artificial Intelligence (368 citations). Jack Grieve has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Diansheng Guo, Maite Taboada, Isobelle Clarke, Andrea Nini, Dirk Geeraerts, Alice Bee Kasakoff, Dirk Speelman, Yuan Huang, Dong Nguyen and Akira Murakami. Their work appears in journals such as PLoS ONE, Corpus Linguistics and Linguistic Theory, American Speech, Linguistics Vanguard and Language Variation and Change.

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.

Explore authors with similar magnitude of impact