Andrew McStay

2.2k citations
42 papers · 1.1k indexed · 1 hit paper · h-index 13
Topics
Ethics and Social Impacts of AI (12 papers)Privacy, Security, and Data Protection (7 papers)Emotions and Moral Behavior (4 papers)
Journals
SHILAP Revista de lepidopterologíaNew Media & SocietyFirst Monday
Partner nations
United Kingdom

In The Last Decade

Andrew McStay

40 papers receiving 1.0k citations

Hit Papers

Fake News and The Economy of Emotions20172026202020232017100200300400

Peers

Andrew McStay
Comparison fields: 5 of 93
  • Sociology and Political Science 602
  • Communication 288
  • Artificial Intelligence 262
  • Safety Research 180
  • Information Systems 136
Replace María D. Molina with:
María D. Molina United States
Simone Natale United Kingdom
Kelley Cotter United States
Stine Lomborg Denmark
Brahim Zarouali Belgium
Andrea L. Guzman United States
Michael Ann DeVito United States
Eun Go United States
Kristen Vaccaro United States
Lingyun Qiu China
Andrew McStay relative to María D. Molina United States María D. Molina's profile →
Citations per field
00.5×10×15×
María D. Molina · 1×
Citations per year

Countries citing papers authored by Andrew McStay

Since Specialization
Citations

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

Fields of papers citing papers by Andrew McStay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew McStay

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew McStay. A scholar is included among the top collaborators of Andrew McStay based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrew McStay. Andrew McStay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 1
4 1
5 9
6 26
7 4
8 4
9 4
10 1
11 6
12 19
13 76
14 5
15
Fake News and The Economy of Emotionsbreakdown →
470
16 7
17 6
18
Assessing interdisciplinary academic and multi-stakeholder positions on transparency in the post-Snowden leak era
2
19
Public feeling on privacy, security and surveillance: a report by DATA‐PSST and DCSS
5
20 1

About Andrew McStay

Andrew McStay is a scholar working on Safety Research, Health Informatics and Human-Computer Interaction, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (12 papers), Privacy, Security, and Data Protection (7 papers) and Emotions and Moral Behavior (4 papers). The work is most often cited by research in Communication (288 citations), Safety Research (180 citations) and Health Informatics (22 citations). Andrew McStay has collaborated with scholars based in United Kingdom. Frequent co-authors include Vian Bakir, Lachlan Urquhart, Martina Feilzer, Lina Dencik, Arne Hintz, Jonathan Cable, Paul F. Long and Phoebe Li. Their work appears in journals such as SHILAP Revista de lepidopterología, New Media & Society and First Monday.

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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