Anna Margetts

485 citations
19 papers · 153 · h-index 9

Impact in

Papers in

Anna Margetts

16 papers receiving 103 citations

Peers

Anna Margetts
Comparison fields: 5 of 29
  • Linguistics and Language 76
  • Language and Linguistics 115
  • Experimental and Cognitive Psychology 56
  • Artificial Intelligence 29
  • Cultural Studies 6
Replace Britta Mondorf with:
Britta Mondorf Germany
Hooi Ling Soh United States
Renata Szczepaniak Germany
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Bettelou Los United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Anna Margetts

Since Specialization
Citations

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

Fields of papers citing papers by Anna Margetts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Anna Margetts, 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 Anna Margetts Line = papers co-authored together Anna Margetts links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 200739
2 199918
3 200813
4 201513
5 201510
6 20059
7
Potentials of language documentation: methods, analyses, and utilization
20129
8 20048
9 20078
10 20077
11 20025
12 20224
13 20113
14
Learning verbs without boots and straps? the problem of 'Give' in Saliba
20083
15 20112
16 20041
17
Data Processing and its Impact on Linguistic Analysis
20091
18 20190
19 20160

About Anna Margetts

Anna Margetts is a scholar working on Language and Linguistics, Linguistics and Language, Experimental and Cognitive Psychology, Artificial Intelligence and Literature and Literary Theory, having authored 19 papers that have together received 153 indexed citations. Recurring topics across this work include Syntax, Semantics, Linguistic Variation (11 papers), Linguistic Variation and Morphology (8 papers), Language, Discourse, Communication Strategies (7 papers), Language, Metaphor, and Cognition (4 papers), Natural Language Processing Techniques (3 papers), Categorization, perception, and language (3 papers), Basque language and culture studies (1 paper) and Discourse Analysis in Language Studies (1 paper). The work is most often cited by research in Linguistics and Language (76 citations), Language and Linguistics (115 citations), Experimental and Cognitive Psychology (56 citations), Artificial Intelligence (29 citations) and Cultural Studies (6 citations). Anna Margetts has collaborated with scholars based in Australia, Germany and Netherlands. Frequent co-authors include Peter K. Austin, Simon Musgrave, Nick Thieberger, Stephen Morey, Angela Terrill, Geoffrey Haig, Nikolaus P. Himmelmann, Sérgio Meira, Michael Dunn and Frank Seifart. Their work appears in journals such as Oceanic Linguistics, Studies in Language, Linguistics, Australian Journal of Linguistics and Language.

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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