Silke ter Stal

539 total citations
10 papers, 284 citations indexed

About

Silke ter Stal is a scholar working on Applied Psychology, Artificial Intelligence and General Health Professions. According to data from OpenAlex, Silke ter Stal has authored 10 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Applied Psychology, 4 papers in Artificial Intelligence and 3 papers in General Health Professions. Recurrent topics in Silke ter Stal's work include Digital Mental Health Interventions (7 papers), AI in Service Interactions (4 papers) and Technology Use by Older Adults (3 papers). Silke ter Stal is often cited by papers focused on Digital Mental Health Interventions (7 papers), AI in Service Interactions (4 papers) and Technology Use by Older Adults (3 papers). Silke ter Stal collaborates with scholars based in Netherlands, Denmark and Greece. Silke ter Stal's co-authors include Monique Tabak, Lean L Kramer, Hermie Hermens, Harm op den Akker, Lex van Velsen, Bob C. Mulder, Emely de Vet, Anke Lenferink, Robby van Delden and Dennis Reidsma and has published in prestigious journals such as Journal of Medical Internet Research, International Journal of Human-Computer Studies and International Journal of Human-Computer Interaction.

In The Last Decade

Silke ter Stal

10 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Silke ter Stal Netherlands 6 140 95 80 69 55 10 284
Lean L Kramer Netherlands 5 128 0.9× 72 0.8× 69 0.9× 41 0.6× 46 0.8× 6 229
Stefán Ólafsson United States 8 139 1.0× 155 1.6× 74 0.9× 97 1.4× 71 1.3× 20 375
Marcia Nißen Switzerland 9 137 1.0× 122 1.3× 75 0.9× 58 0.8× 42 0.8× 19 323
Dhakshenya Ardhithy Dhinagaran Singapore 5 209 1.5× 144 1.5× 153 1.9× 53 0.8× 24 0.4× 6 374
Ahmed Fadhil Italy 7 118 0.8× 138 1.5× 89 1.1× 33 0.5× 58 1.1× 10 298
Everlyne Kimani United States 10 88 0.6× 99 1.0× 52 0.7× 74 1.1× 59 1.1× 27 310
Simon Provoost Netherlands 4 198 1.4× 84 0.9× 70 0.9× 98 1.4× 28 0.5× 6 310
Theresa Schachner Switzerland 4 150 1.1× 122 1.3× 97 1.2× 36 0.5× 20 0.4× 8 280
Langxuan Yin United States 3 68 0.5× 70 0.7× 41 0.5× 64 0.9× 29 0.5× 4 198
Woosuk Seo United States 12 84 0.6× 37 0.4× 39 0.5× 40 0.6× 45 0.8× 22 308

Countries citing papers authored by Silke ter Stal

Since Specialization
Citations

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

Fields of papers citing papers by Silke ter Stal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silke ter Stal. 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 Silke ter Stal. The network helps show where Silke ter Stal may publish in the future.

Co-authorship network of co-authors of Silke ter Stal

This figure shows the co-authorship network connecting the top 25 collaborators of Silke ter Stal. A scholar is included among the top collaborators of Silke ter Stal 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 Silke ter Stal. Silke ter Stal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Kramer, Lean L, Lex van Velsen, Bob C. Mulder, Silke ter Stal, & Emely de Vet. (2023). Optimizing appreciation and persuasion of embodied conversational agents for health behavior change: A design experiment and focus group study. Health Informatics Journal. 29(3). 1207668766–1207668766. 2 indexed citations
3.
4.
Stal, Silke ter, et al.. (2020). Embodied Conversational Agent Appearance for Health Assessment of Older Adults: Explorative Study. JMIR Human Factors. 7(3). e19987–e19987. 21 indexed citations
5.
Stal, Silke ter, Lean L Kramer, Monique Tabak, Harm op den Akker, & Hermie Hermens. (2020). Design Features of Embodied Conversational Agents in eHealth: a Literature Review. International Journal of Human-Computer Studies. 138. 102409–102409. 110 indexed citations
6.
Stal, Silke ter, et al.. (2019). Who Do You Prefer? The Effect of Age, Gender and Role on Users’ First Impressions of Embodied Conversational Agents in eHealth. International Journal of Human-Computer Interaction. 36(9). 881–892. 51 indexed citations
7.
Kramer, Lean L, Silke ter Stal, Bob C. Mulder, Emely de Vet, & Lex van Velsen. (2019). Developing Embodied Conversational Agents for Coaching People in a Healthy Lifestyle: Scoping Review. Journal of Medical Internet Research. 22(2). e14058–e14058. 75 indexed citations
8.
Velsen, Lex van, et al.. (2019). Why My Grandfather Finds Difficulty in using Ehealth: Differences in Usability Evaluations between Older Age Groups. University of Twente Research Information. 6 indexed citations
9.
Jansen-Kosterink, Stephanie, et al.. (2019). GOAL: An eHealth Application for Rewarding Healthy Behaviour. The First Experiences of Older Adults. University of Twente Research Information. 58–66. 1 indexed citations
10.
Delden, Robby van, et al.. (2016). Personalization of Gait Rehabilitation Games on a Pressure Sensitive Interactive LED Floor. University of Twente Research Information. 60–73. 5 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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