Styliani Kleanthous

648 total citations
53 papers, 314 citations indexed

About

Styliani Kleanthous is a scholar working on Artificial Intelligence, Safety Research and Social Psychology. According to data from OpenAlex, Styliani Kleanthous has authored 53 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Safety Research and 9 papers in Social Psychology. Recurrent topics in Styliani Kleanthous's work include Ethics and Social Impacts of AI (13 papers), Team Dynamics and Performance (6 papers) and Explainable Artificial Intelligence (XAI) (6 papers). Styliani Kleanthous is often cited by papers focused on Ethics and Social Impacts of AI (13 papers), Team Dynamics and Performance (6 papers) and Explainable Artificial Intelligence (XAI) (6 papers). Styliani Kleanthous collaborates with scholars based in Cyprus, United Kingdom and Israel. Styliani Kleanthous's co-authors include Jahna Otterbacher, Georgia M. Kapitsaki, Vania Dimitrova, Tsvi Kuflik, George Α. Papadopoulos, George Samaras, Khuyagbaatar Batsuren, Fausto Giunchiglia, Olivia Guest and Alan Hartman and has published in prestigious journals such as ACM Computing Surveys, User Modeling and User-Adapted Interaction and Journal of the Association for Information Science and Technology.

In The Last Decade

Styliani Kleanthous

48 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Styliani Kleanthous Cyprus 10 119 102 55 51 44 53 314
Qiaosi Wang United States 9 56 0.5× 103 1.0× 63 1.1× 25 0.5× 37 0.8× 11 291
Aaron Springer United States 11 92 0.8× 104 1.0× 26 0.5× 38 0.7× 63 1.4× 17 350
Geoffrey Rockwell Canada 12 47 0.4× 111 1.1× 59 1.1× 66 1.3× 73 1.7× 70 432
Michael Skirpan United States 10 182 1.5× 74 0.7× 95 1.7× 52 1.0× 67 1.5× 14 324
Astrid Carolus Germany 10 82 0.7× 157 1.5× 95 1.7× 50 1.0× 76 1.7× 25 406
Janghee Cho United States 7 122 1.0× 174 1.7× 33 0.6× 38 0.7× 101 2.3× 16 380
Hanna Schneider Germany 7 63 0.5× 106 1.0× 21 0.4× 28 0.5× 53 1.2× 12 317
Amna Khan Pakistan 4 46 0.4× 62 0.6× 51 0.9× 41 0.8× 46 1.0× 25 307
Pratyusha Kalluri United States 6 194 1.6× 177 1.7× 28 0.5× 29 0.6× 79 1.8× 8 462
Hao-Fei Cheng United States 5 153 1.3× 180 1.8× 17 0.3× 33 0.6× 65 1.5× 9 328

Countries citing papers authored by Styliani Kleanthous

Since Specialization
Citations

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

Fields of papers citing papers by Styliani Kleanthous

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Styliani Kleanthous

This figure shows the co-authorship network connecting the top 25 collaborators of Styliani Kleanthous. A scholar is included among the top collaborators of Styliani Kleanthous 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 Styliani Kleanthous. Styliani Kleanthous 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.
2.
Clear, Tony, Åsa Cajander, Roger McDermott, et al.. (2025). AI Integration in the IT Professional Workplace: A Scoping Review and Interview Study with Implications for Education and Professional Competencies. KTH Publication Database DiVA (KTH Royal Institute of Technology). 34–67. 3 indexed citations
3.
Dimitrakopoulos, George, Styliani Kleanthous, Elena Politi, et al.. (2025). AI Advances in ICU with an Emphasis on Sepsis Prediction: An Overview. Machine Learning and Knowledge Extraction. 7(1). 6–6. 7 indexed citations
4.
Kleanthous, Styliani, et al.. (2025). 'AI Training Should Be for Everyone': Informal training on AI. 778–778.
5.
Bellogín, Alejandro, Ludovico Boratto, Styliani Kleanthous, et al.. (2024). International Workshop on Algorithmic Bias in Search and Recommendation (BIAS). UNICA IRIS Institutional Research Information System (University of Cagliari). 3033–3035. 1 indexed citations
6.
Kleanthous, Styliani, et al.. (2024). "AI is a robot that knows many things": Cypriot children's perception of AI. 897–901. 8 indexed citations
7.
Clear, Tony, Åsa Cajander, Roger McDermott, et al.. (2024). A Plan for a Joint Study into the Impacts of AI on Professional Competencies of IT Professionals and Implications for Computing Students. Open Access Institutional Repository at Robert Gordon University (Robert Gordon University). 757–758. 1 indexed citations
8.
Kleanthous, Styliani, et al.. (2023). Perception of Personalization Processes: Awareness, Data Sharing and Transparency. 1–5. 1 indexed citations
9.
Paramita, Monica Lestari, et al.. (2023). Towards improving user awareness of search engine biases: A participatory design approach. Journal of the Association for Information Science and Technology. 75(5). 581–599. 3 indexed citations
10.
Kleanthous, Styliani, et al.. (2023). Cyclops: Looking beyond the single perspective in information access systems. 34–37. 2 indexed citations
11.
Giunchiglia, Fausto, Styliani Kleanthous, Jahna Otterbacher, & Tim Draws. (2021). Transparency Paths - Documenting the Diversity of User Perceptions. Research Repository (Delft University of Technology). 415–420. 1 indexed citations
12.
Kleanthous, Styliani, et al.. (2021). Perception of fairness in algorithmic decisions: Future developers' perspective. Patterns. 3(1). 100380–100380. 13 indexed citations
13.
Kleanthous, Styliani, et al.. (2020). Lessons Learned Using a Virtual World to Support Collaborative Learning in the Classroom. JUCS - Journal of Universal Computer Science. 26(8). 858–879. 2 indexed citations
14.
Batsuren, Khuyagbaatar, Fausto Giunchiglia, Alan Hartman, et al.. (2019). “End to End” Towards a Framework for Reducing Biases and Promoting Transparency of Algorithmic Systems. Institutional Research Information System (Università degli Studi di Trento). 1–6. 8 indexed citations
15.
Otterbacher, Jahna, et al.. (2019). How Do We Talk about Other People? Group (Un)Fairness in Natural Language Image Descriptions. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 7. 106–114. 14 indexed citations
16.
Kleanthous, Styliani, et al.. (2019). Fairness in Proprietary Image Tagging Algorithms: A Cross-Platform Audit on People Images. Proceedings of the International AAAI Conference on Web and Social Media. 13. 313–322. 26 indexed citations
17.
Kleanthous, Styliani & Georgia M. Kapitsaki. (2018). Analyzing the transactive memory in teaching software engineering. 145–146. 2 indexed citations
18.
Kleanthous, Styliani, et al.. (2018). The Development and Evolution of Transactive Memory System Over Time in MUVEs. 7. 174–179. 2 indexed citations
19.
Kleanthous, Styliani, et al.. (2017). Individual Differences in Music Video Interaction. 241–246. 1 indexed citations
20.
Christophorou, Chrıstophoros, et al.. (2016). ICT services for active ageing and independent living: identification and assessment. Healthcare Technology Letters. 3(3). 159–164. 20 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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