Jack Grieve

2.1k citations
60 papers · 1.2k · h-index 18

Impact in

Papers in

Jack Grieve

53 papers receiving 1.0k citations

Peers

Jack Grieve
Comparison fields: 5 of 79
  • Linguistics and Language 450
  • Language and Linguistics 355
  • Human-Computer Interaction 111
  • Communication 114
  • Artificial Intelligence 476
Replace Dawn Archer with:
Dawn Archer United Kingdom
Jesse Egbert United States
Václav Březina United Kingdom
Dirk Speelman Belgium
Eric Friginal United States
Vít Suchomel Czechia
Miloš Jakubíček Czechia
Vít Baisa Czechia
Jan Michelfeit Czechia
Vojtěch Kovář Czechia
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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 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Analyzing Appraisal Automatically
2004137
2 2015114
3 201985
4 201172
5 201065
6 201653
7 201752
8 201850
9 201950
10 201649
11 201647
12 201427
13 202325
14 202123
15 201121
16
A corpus-based regional dialect survey of grammatical variation in written standard American English
200921
17 201320
18 200919
19 201316
20 201815

About Jack Grieve

Jack Grieve is a scholar working on Linguistics and Language, Language and Linguistics, Artificial Intelligence, Experimental and Cognitive Psychology and Human-Computer Interaction, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Linguistic Variation and Morphology (32 papers), Authorship Attribution and Profiling (12 papers), Natural Language Processing Techniques (10 papers), Phonetics and Phonology Research (9 papers), Language, Discourse, Communication Strategies (8 papers), Hate Speech and Cyberbullying Detection (8 papers), Digital Communication and Language (6 papers) and Lexicography and Language Studies (5 papers). The work is most often cited by research in Linguistics and Language (450 citations), Language and Linguistics (355 citations), Human-Computer Interaction (111 citations), Communication (114 citations) and Artificial Intelligence (476 citations). Jack Grieve has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Diansheng Guo, Isobelle Clarke, Maite Taboada, Andrea Nini, Alice Bee Kasakoff, Dirk Geeraerts, Yuan Huang, Dirk Speelman, Douglas Biber and Eric Friginal. Their work appears in journals such as Corpus Linguistics and Linguistic Theory, PLoS ONE, Linguistics Vanguard, English Language and Linguistics 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.

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