Liam D. Turner

485 total citations
26 papers, 269 citations indexed

About

Liam D. Turner is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics and Electrical and Electronic Engineering. According to data from OpenAlex, Liam D. Turner has authored 26 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Sociology and Political Science, 13 papers in Statistical and Nonlinear Physics and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Liam D. Turner's work include Complex Network Analysis Techniques (10 papers), Opinion Dynamics and Social Influence (9 papers) and Evolutionary Game Theory and Cooperation (8 papers). Liam D. Turner is often cited by papers focused on Complex Network Analysis Techniques (10 papers), Opinion Dynamics and Social Influence (9 papers) and Evolutionary Game Theory and Cooperation (8 papers). Liam D. Turner collaborates with scholars based in United Kingdom, United States and Netherlands. Liam D. Turner's co-authors include Roger M. Whitaker, Stuart M. Allen, David E.J. Linden, Björn Winkens, Kun Tu, Don Towsley, Dave Braines, Jian Li, Diane Felmlee and Gualtiero B. Colombo and has published in prestigious journals such as Computers in Human Behavior, International Journal of Human-Computer Studies and Royal Society Open Science.

In The Last Decade

Liam D. Turner

22 papers receiving 262 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Liam D. Turner United Kingdom 8 124 95 48 47 33 26 269
Jaejeung Kim South Korea 8 184 1.5× 128 1.3× 42 0.9× 6 0.1× 10 0.3× 23 311
Mari‐Carmen Marcos Spain 7 75 0.6× 24 0.3× 22 0.5× 16 0.3× 19 0.6× 28 275
Scott LeeTiernan United States 6 69 0.6× 21 0.2× 39 0.8× 9 0.2× 61 1.8× 8 249
Agnes Shook Cheong Chang United States 6 42 0.3× 23 0.2× 69 1.4× 12 0.3× 43 1.3× 20 289
Seungwoo Choi South Korea 8 150 1.2× 55 0.6× 73 1.5× 4 0.1× 12 0.4× 18 366
Esam Alwagait Saudi Arabia 8 157 1.3× 46 0.5× 65 1.4× 13 0.3× 7 0.2× 13 284
Vagner Figuerêdo de Santana Brazil 9 49 0.4× 19 0.2× 30 0.6× 13 0.3× 9 0.3× 42 280
Eleni Michailidou United Kingdom 7 40 0.3× 23 0.2× 13 0.3× 7 0.1× 36 1.1× 11 314
Alex Sciuto United States 6 66 0.5× 23 0.2× 28 0.6× 5 0.1× 9 0.3× 7 323
Jung Sun Oh United States 13 132 1.1× 43 0.5× 9 0.2× 20 0.4× 33 1.0× 23 565

Countries citing papers authored by Liam D. Turner

Since Specialization
Citations

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

Fields of papers citing papers by Liam D. Turner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liam D. Turner. 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 Liam D. Turner. The network helps show where Liam D. Turner may publish in the future.

Co-authorship network of co-authors of Liam D. Turner

This figure shows the co-authorship network connecting the top 25 collaborators of Liam D. Turner. A scholar is included among the top collaborators of Liam D. Turner 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 Liam D. Turner. Liam D. Turner 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
1.
Turner, Liam D., et al.. (2025). Conventions and research challenges in considering trust with socially assistive robots for older adults. Frontiers in Robotics and AI. 12. 1631206–1631206.
2.
Turner, Liam D., et al.. (2024). Who is better at math, Jenny or Jingzhen? Uncovering Stereotypes in Large Language Models. ORCA Online Research @Cardiff (Cardiff University). 18601–18619.
3.
Turner, Liam D., et al.. (2024). An Exploratory Analysis of Trust in Socially Assistive Robot Interactions with Unpaid Carers of Older Adults. ORCA Online Research @Cardiff (Cardiff University). 1630–1637. 1 indexed citations
4.
Allen, Stuart M., et al.. (2024). Motif discovery in hospital ward vital signs observation networks. Network Modeling Analysis in Health Informatics and Bioinformatics. 13(1). 55–55.
5.
Bullock, Alison, et al.. (2022). Temporal patterns in vital sign recording within and across general hospital wards. Resuscitation Plus. 10. 100247–100247. 1 indexed citations
6.
Turner, Liam D., et al.. (2022). Utilising the co-occurrence of user interface interactions as a risk indicator for smartphone addiction. Pervasive and Mobile Computing. 86. 101677–101677. 2 indexed citations
7.
Turner, Liam D., et al.. (2021). Understanding the characteristics of COVID-19 misinformation communities through graphlet analysis. ORCA Online Research @Cardiff (Cardiff University). 27. 100178–100178. 4 indexed citations
8.
Turalska, Malgorzata, et al.. (2021). Optimizing the efficiency of collective decision making in groups. ORCA Online Research @Cardiff (Cardiff University). 14–14. 1 indexed citations
9.
Whitaker, Roger M., et al.. (2021). The Coevolution of Social Networks and Cognitive Dissonance. IEEE Transactions on Computational Social Systems. 9(2). 376–393. 6 indexed citations
10.
Turner, Liam D., et al.. (2020). Assessing temporal and spatial features in detecting disruptive users on Reddit. ORCA Online Research @Cardiff (Cardiff University). 892–896. 2 indexed citations
11.
Turner, Liam D., et al.. (2019). Identifying Indicators of Smartphone Addiction Through User-App Interaction. Computers in Human Behavior. 99. 56–65. 88 indexed citations
12.
Turner, Liam D., Roger M. Whitaker, Stuart M. Allen, et al.. (2019). Evidence to support common application switching behaviour on smartphones. Royal Society Open Science. 6(3). 190018–190018. 12 indexed citations
13.
Turner, Liam D., et al.. (2019). The Impact of Peer Pressure: Extending Axelrod's Model on Cultural Polarisation. ORCA Online Research @Cardiff (Cardiff University). 1 indexed citations
14.
Turner, Liam D., Stuart M. Allen, & Roger M. Whitaker. (2019). The influence of concurrent mobile notifications on individual responses. International Journal of Human-Computer Studies. 132. 70–80. 13 indexed citations
15.
Turner, Liam D., et al.. (2019). Smartphone interaction and survey data as predictors of snapchat usage. ORCA Online Research @Cardiff (Cardiff University). 438–445. 1 indexed citations
16.
Whitaker, Roger M., Liam D. Turner, Gualtiero B. Colombo, et al.. (2018). A computational framework for modelling inter-group behaviour using psychological theory. ORCA Online Research @Cardiff (Cardiff University). 14–14. 2 indexed citations
17.
Turner, Liam D., et al.. (2017). Timing rather than user traits mediates mood sampling on smartphones. BMC Research Notes. 10(1). 481–481. 8 indexed citations
18.
Colombo, Gualtiero B., et al.. (2017). Stability and fracture of social groups. ORCA Online Research @Cardiff (Cardiff University). 2. 478–485.
19.
Colombo, Gualtiero B., et al.. (2017). Mathematical models for social group behavior. ORCA Online Research @Cardiff (Cardiff University). 2. 1–6. 4 indexed citations
20.
Turner, Liam D., Stuart M. Allen, & Roger M. Whitaker. (2015). Interruptibility prediction for ubiquitous systems. ORCA Online Research @Cardiff (Cardiff University). 801–812. 55 indexed citations

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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