Christos Troussas
- Artificial Intelligence top 2%
- Information Systems top 1%
- Computer Science Applications top 0.5%
- Education top 2%
- Developmental and Educational Psychology top 2%
- Co-authors
- Akrivi KrouskaCleo SgouropoulouMaria VirvouChristos PapakostasAndreas MarougkasIoannis VoyiatzisKonstantina ChrysafiadiKurt Junshean Espinosa
- Topics
- Online Learning and Analytics (44 papers)Intelligent Tutoring Systems and Adaptive Learning (37 papers)Innovative Teaching and Learning Methods (26 papers)
- Cited by
- Computer Science ApplicationsHuman-Computer InteractionDevelopmental and Educational Psychology
- Partner nations
- GreecePhilippinesFrance
In The Last Decade
Christos Troussas
123 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Artificial Intelligence 621
- Information Systems 603
- Computer Science Applications 546
- Education 419
- Developmental and Educational Psychology 390
Countries citing papers authored by Christos Troussas
This map shows the geographic impact of Christos Troussas'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 Christos Troussas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christos Troussas more than expected).
Fields of papers citing papers by Christos Troussas
This network shows the impact of papers produced by Christos Troussas. 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 Christos Troussas. The network helps show where Christos Troussas may publish in the future.
Co-authorship network of co-authors of Christos Troussas
This figure shows the co-authorship network connecting the top 25 collaborators of Christos Troussas. A scholar is included among the top collaborators of Christos Troussas 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 Christos Troussas. Christos Troussas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 24 | |
| 10 | 22 | |
| 11 | 28 | |
| 12 | 67 | |
| 13 | 0 | |
| 14 | 8 | |
| 15 | 36 | |
| 16 | 0 | |
| 17 | 32 | |
| 18 | 42 | |
| 19 | 40 | |
| 20 | Machine learning for user modeling in a multilingual learning system | 8 |
About Christos Troussas
Christos Troussas is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Information Systems, having authored 140 papers that have together received 2.0k indexed citations. Recurring topics across this work include Online Learning and Analytics (44 papers), Intelligent Tutoring Systems and Adaptive Learning (37 papers) and Innovative Teaching and Learning Methods (26 papers). The work is most often cited by research in Computer Science Applications (546 citations), Human-Computer Interaction (240 citations) and Developmental and Educational Psychology (390 citations). Christos Troussas has collaborated with scholars based in Greece, Philippines and France. Frequent co-authors include Akrivi Krouska, Cleo Sgouropoulou, Maria Virvou, Christos Papakostas, Andreas Marougkas, Ioannis Voyiatzis, Konstantina Chrysafiadi, Kurt Junshean Espinosa, Efthimios Alepis and Filippos Giannakas. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Computers & Education.
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.