Sylvia Shaw

1.3k citations
13 papers · 214 · h-index 7

Impact in

    • Gender Politics and Representation
    • Gender, Feminism, and Media
    • Gender Studies in Language
    • Gender Diversity and Inequality
    • Language, Discourse, Communication Strategies

Papers in

Sylvia Shaw

13 papers receiving 184 citations

Peers

Sylvia Shaw
Comparison fields: 5 of 47
  • Gender Studies 79
  • Language and Linguistics 46
  • Linguistics and Language 20
  • Communication 29
  • Literature and Literary Theory 41
Replace Shani Burke with:
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Leanne Dalley‐Trim Australia
Raúl Pérez United States
Elinor L. Brown United States
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Sylvia Shaw relative to Shani Burke United Kingdom Shani Burke's profile →
Citations per field
00.5×2.8×
Shani Burke · 1×
Citations per year

Countries citing papers authored by Sylvia Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Sylvia Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Sylvia Shaw, 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 Sylvia Shaw Line = papers co-authored together Sylvia Shaw links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 200070
2 198050
3 201619
4 201517
5 201616
6
Gender, Power and Political Speech: Women and Language in the 2015 UK General Election
201616
7 202013
8
Correction: Improving care at scale: Process evaluation of a multi-component quality improvement intervention to reduce mortality after emergency abdominal surgery (EPOCH trial). [Implement Sci. (2018), 13 (142)] DOI: 10.1186/s13012-018-0823-9
20183
9 20113
10 20133
11 20132
12 20201
13
Magill v Magill: Families and deceit
20051

About Sylvia Shaw

Sylvia Shaw is a scholar working on Gender Studies, Language and Linguistics, Sociology and Political Science, Surgery and Communication, having authored 13 papers that have together received 214 indexed citations. Recurring topics across this work include Gender Studies in Language (5 papers), Gender Politics and Representation (4 papers), Language, Discourse, Communication Strategies (3 papers), Gender, Feminism, and Media (2 papers), Discourse Analysis in Language Studies (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper), Multicultural Socio-Legal Studies (1 paper) and Hate Speech and Cyberbullying Detection (1 paper). The work is most often cited by research in Gender Studies (79 citations), Language and Linguistics (46 citations), Linguistics and Language (20 citations), Communication (29 citations) and Literature and Literary Theory (41 citations). Sylvia Shaw has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Deborah Cameron, Jane Arthurs, Tim Stephens, Carol J. Peden, Emma L. Jones, David Kocman, Rupert M. Pearse and Graham Martin. Their work appears in journals such as Journal of Language and Politics, Discourse & Society, Implementation Science, Journal of Legislative Studies and Journal of Multilingual and Multicultural Development.

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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