Selina Sutton
Impact in
- Human-Computer Interaction top 2%
- Innovative Human-Technology Interaction
- Communication top 10%
- Social Media and Politics
Papers in
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- Digital Communication and Language 3
- Innovative Human-Technology Interaction 2
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- AI in Service Interactions 4
- Speech and dialogue systems 2
- Co-authors
- Shaun Lawson (5 shared papers)Rob Comber (2 shared papers)Madeline Balaam (2 shared papers)Andrew Garbett (1 shared paper)David Kirk (1 shared paper)Paul Foulkes (1 shared paper)John Vines (4 shared papers)Tom Feltwell (3 shared papers)
- Journals
- Lecture notes in computer science (1 paper)The University of Bath Online Publications Store (The University of Bath) (1 paper)White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (1 paper)Northumbria Research Link (Northumbria University) (5 papers)
- Partner nations
- United KingdomChile
In The Last Decade
Selina Sutton
12 papers receiving 351 citations
Peers
Comparison fields: 5 of 63
- Human-Computer Interaction 159
- Communication 40
- Social Psychology 80
- Artificial Intelligence 134
- Applied Psychology 11
Countries citing papers authored by Selina Sutton
This map shows the geographic impact of Selina Sutton'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 Selina Sutton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Selina Sutton more than expected).
Fields of papers citing papers by Selina Sutton
This network shows the impact of papers produced by Selina Sutton. 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 Selina Sutton. The network helps show where Selina Sutton may publish in the future.
Co-authors
The 24 scholars most cited alongside Selina Sutton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 117 | |
| 2 | 2019 | 72 | |
| 3 | 2017 | 50 | |
| 4 | 2020 | 46 | |
| 5 | 2015 | 29 | |
| 6 | 2019 | 25 | |
| 7 | 2015 | 11 | |
| 8 | 2017 | 6 | |
| 9 | 2017 | 5 | |
| 10 | Debating poverty porn on Twitter | 2015 | 1 |
| 11 | 2021 | 1 | |
| 12 | 2019 | 1 |
About Selina Sutton
Selina Sutton is a scholar working on Human-Computer Interaction, Artificial Intelligence, Communication, Sociology and Political Science and Information Systems, having authored 12 papers that have together received 364 indexed citations. Recurring topics across this work include AI in Service Interactions (4 papers), Digital Communication and Language (3 papers), Impact of Technology on Adolescents (2 papers), Speech and dialogue systems (2 papers), ICT in Developing Communities (2 papers), Innovative Human-Technology Interaction (2 papers), Social Media and Politics (2 papers) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Human-Computer Interaction (159 citations), Communication (40 citations), Social Psychology (80 citations), Artificial Intelligence (134 citations) and Applied Psychology (11 citations). Selina Sutton has collaborated with scholars based in United Kingdom and Chile. Frequent co-authors include Shaun Lawson, Rob Comber, Madeline Balaam, Andrew Garbett, David Kirk, Paul Foulkes, John Vines, Tom Feltwell, Julie Barnett and Matthew P. Aylett. Their work appears in journals such as Lecture notes in computer science, The University of Bath Online Publications Store (The University of Bath), White Rose Research Online (University of Leeds, The University of Sheffield, University of York) and Northumbria Research Link (Northumbria University).
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.