Cleo Sgouropoulou

3.3k total citations · 2 hit papers
116 papers, 1.4k citations indexed

About

Cleo Sgouropoulou is a scholar working on Computer Science Applications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Cleo Sgouropoulou has authored 116 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Science Applications, 33 papers in Information Systems and 30 papers in Artificial Intelligence. Recurrent topics in Cleo Sgouropoulou's work include Online Learning and Analytics (33 papers), Augmented Reality Applications (15 papers) and Intelligent Tutoring Systems and Adaptive Learning (15 papers). Cleo Sgouropoulou is often cited by papers focused on Online Learning and Analytics (33 papers), Augmented Reality Applications (15 papers) and Intelligent Tutoring Systems and Adaptive Learning (15 papers). Cleo Sgouropoulou collaborates with scholars based in Greece, France and United Kingdom. Cleo Sgouropoulou's co-authors include Christos Troussas, Akrivi Krouska, Andreas Marougkas, Christos Papakostas, Ioannis Voyiatzis, Filippos Giannakas, Constantinos Stergiou, Stefanos Gritzalis, Manolis Μaragoudakis and Sébastien Jacques and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Computers & Education.

In The Last Decade

Cleo Sgouropoulou

91 papers receiving 1.3k citations

Hit Papers

Collaboration and fuzzy-modeled personalization for mobil... 2019 2026 2021 2023 2019 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cleo Sgouropoulou Greece 21 398 394 315 263 255 116 1.4k
Akrivi Krouska Greece 20 392 1.0× 312 0.8× 302 1.0× 282 1.1× 352 1.4× 89 1.4k
Michalis Xenos Greece 17 315 0.8× 406 1.0× 278 0.9× 206 0.8× 248 1.0× 115 1.4k
Christian Gütl Austria 19 353 0.9× 349 0.9× 236 0.7× 346 1.3× 314 1.2× 138 1.2k
Fridolin Wild United Kingdom 15 286 0.7× 232 0.6× 191 0.6× 189 0.7× 193 0.8× 85 1.1k
Christos Troussas Greece 24 603 1.5× 546 1.4× 419 1.3× 390 1.5× 621 2.4× 140 2.0k
Rosa Lanzilotti Italy 22 485 1.2× 343 0.9× 258 0.8× 268 1.0× 168 0.7× 100 1.7k
Christian Guetl Austria 14 356 0.9× 248 0.6× 360 1.1× 260 1.0× 164 0.6× 73 1.2k
Anders I. Mørch Norway 18 305 0.8× 319 0.8× 207 0.7× 195 0.7× 244 1.0× 87 1.2k
Nergiz Ercil Çağıltay Türkiye 19 266 0.7× 321 0.8× 281 0.9× 370 1.4× 150 0.6× 77 1.3k
Christine Alvarado United States 22 373 0.9× 657 1.7× 173 0.5× 187 0.7× 262 1.0× 75 1.7k

Countries citing papers authored by Cleo Sgouropoulou

Since Specialization
Citations

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

Fields of papers citing papers by Cleo Sgouropoulou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cleo Sgouropoulou

This figure shows the co-authorship network connecting the top 25 collaborators of Cleo Sgouropoulou. A scholar is included among the top collaborators of Cleo Sgouropoulou 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 Cleo Sgouropoulou. Cleo Sgouropoulou 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.
Troussas, Christos, et al.. (2025). Digital Literacy in Higher Education: Examining University Students’ Competence in Online Information Practices. Computers. 14(12). 528–528. 1 indexed citations
2.
Ioannidis, Georgios, et al.. (2025). Radiomics vs. Deep Learning in Autism Classification Using Brain MRI: A Systematic Review. Applied Sciences. 15(19). 10551–10551.
3.
Papakostas, Christos, Christos Troussas, Akrivi Krouska, & Cleo Sgouropoulou. (2025). Integrating Bayesian Knowledge Tracing and Human Plausible Reasoning in an Adaptive Augmented Reality System for Spatial Skill Development. Information. 16(6). 429–429.
4.
Papakostas, Christos, Christos Troussas, Akrivi Krouska, & Cleo Sgouropoulou. (2025). A Hybrid Neuro-Symbolic Pipeline for Coreference Resolution and AMR-Based Semantic Parsing. Information. 16(7). 529–529.
5.
Troussas, Christos, Akrivi Krouska, & Cleo Sgouropoulou. (2025). Human-Computer Interaction and Augmented Intelligence. 1 indexed citations
6.
Troussas, Christos, et al.. (2024). A GAMIFIED MOBILE APPLICATION USING STEREOTYPE USER MODELING IN A JAVA PROGRAMMING LEARNING CONCEPT. EDULEARN proceedings. 1. 8739–8748. 1 indexed citations
8.
Troussas, Christos, Christos Papakostas, Akrivi Krouska, Phivos Mylonas, & Cleo Sgouropoulou. (2024). Fuzzy-Based Virtual Reality System for Cultural Heritage: Enhancing User Interaction and Experience Through Contextual Assistive Messaging. International Journal of Human-Computer Interaction. 41(18). 11638–11656. 4 indexed citations
9.
Krouska, Akrivi, Christos Troussas, & Cleo Sgouropoulou. (2023). A novel group recommender system for domain-independent decision support customizing a grouping genetic algorithm. User Modeling and User-Adapted Interaction. 33(5). 1113–1140. 12 indexed citations
11.
Papakostas, Christos, et al.. (2023). SculptMate: Personalizing cultural heritage experience using fuzzy weights. 397–407. 5 indexed citations
12.
Papakostas, Christos, Christos Troussas, Akrivi Krouska, & Cleo Sgouropoulou. (2022). Exploring Users’ Behavioral Intention to Adopt Mobile Augmented Reality in Education through an Extended Technology Acceptance Model. International Journal of Human-Computer Interaction. 39(6). 1294–1302. 67 indexed citations
13.
Stergiou, Constantinos, et al.. (2022). A hybrid machine learning model for grade prediction in online engineering education. Zenodo (CERN European Organization for Nuclear Research).
14.
Stergiou, Constantinos, et al.. (2022). Evaluating Remote Task Assignment of an Online Engineering Module through Data Mining in a Virtual Communication Platform Environment. Electronics. 11(1). 158–158. 8 indexed citations
15.
Stergiou, Constantinos, et al.. (2022). A Hybrid Machine Learning Model for Grade Prediction in Online Engineering Education. International Journal of Engineering Pedagogy (iJEP). 12(3). 4–24. 22 indexed citations
16.
Stergiou, Constantinos, et al.. (2021). Analysis of Engineering Student Data in Online Higher Education During the COVID-19 Pandemic. International Journal of Engineering Pedagogy (iJEP). 11(6). 27–49. 32 indexed citations
17.
Papakostas, Christos, Christos Troussas, Akrivi Krouska, & Cleo Sgouropoulou. (2021). Measuring User Experience, Usability and Interactivity of a Personalized Mobile Augmented Reality Training System. Sensors. 21(11). 3888–3888. 42 indexed citations
18.
Papakostas, Christos, Christos Troussas, Akrivi Krouska, & Cleo Sgouropoulou. (2021). User acceptance of augmented reality welding simulator in engineering training. Education and Information Technologies. 27(1). 791–817. 40 indexed citations
19.
Sgouropoulou, Cleo, et al.. (2014). FOSTERING ACADEMIC COLLABORATION FOR QUALITY EDUCATION AND RESEARCH: THE ACADEMIS CASE. EDULEARN14 Proceedings. 16–26. 2 indexed citations
20.
Sgouropoulou, Cleo, et al.. (1998). WebOrama: A Web Based System for Ordered Asynchronous Multimedia Annotations.. DSpace - NTUA (National Technical University of Athens). 2 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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