Agoritsa Polyzou
Impact in
-
- Online Learning and Analytics
-
- Artificial Intelligence in Healthcare
Papers in
-
- Online Learning and Analytics 7
- Mobile Crowdsensing and Crowdsourcing 1
-
- Intelligent Tutoring Systems and Adaptive Learning 5
- Imbalanced Data Classification Techniques 1
- Co-authors
- George Karypis (7 shared papers)Huzefa Rangwala (2 shared papers)Asmaa Elbadrawy (1 shared paper)Zhiyun Ren (1 shared paper)Αθανάσιος Ν. Νικολακόπουλος (1 shared paper)Qian Hu (1 shared paper)Maria Kalantzi (1 shared paper)
- Journals
- IEEE Transactions on Learning Technologies (2 papers)Computer (1 paper)International Journal of Data Science and Analytics (1 paper)Educational Data Mining (1 paper)Papers on Engineering Education Repository (American Society for Engineering Education) (1 paper)
- Partner nations
- United StatesGreece
In The Last Decade
Agoritsa Polyzou
7 papers receiving 231 citations
Peers
Comparison fields: 5 of 43
- Computer Science Applications 203
- Health Information Management 35
- Artificial Intelligence 118
- Computational Mathematics 2
- Information Systems 69
Countries citing papers authored by Agoritsa Polyzou
This map shows the geographic impact of Agoritsa Polyzou'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 Agoritsa Polyzou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Agoritsa Polyzou more than expected).
Fields of papers citing papers by Agoritsa Polyzou
This network shows the impact of papers produced by Agoritsa Polyzou. 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 Agoritsa Polyzou. The network helps show where Agoritsa Polyzou may publish in the future.
Co-authors
The 7 scholars most cited alongside Agoritsa Polyzou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 100 | |
| 2 | 2016 | 51 | |
| 3 | 2019 | 49 | |
| 4 | Scholars walk: A Markov chain framework for course recommendation | 2019 | 14 |
| 5 | 2017 | 13 | |
| 6 | Feature extraction for classifying students based on their academic performance | 2018 | 11 |
| 7 | 2022 | 4 | |
| 8 | 2024 | 0 |
About Agoritsa Polyzou
Agoritsa Polyzou is a scholar working on Computer Science Applications, Artificial Intelligence, Information Systems, Computer Networks and Communications and Health Information Management, having authored 8 papers that have together received 242 indexed citations. Recurring topics across this work include Online Learning and Analytics (7 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers), Educational Technology and Assessment (3 papers), Artificial Intelligence in Healthcare (2 papers), Imbalanced Data Classification Techniques (1 paper), Software System Performance and Reliability (1 paper), Mobile Crowdsensing and Crowdsourcing (1 paper) and Innovative Teaching and Learning Methods (1 paper). The work is most often cited by research in Computer Science Applications (203 citations), Health Information Management (35 citations), Artificial Intelligence (118 citations), Computational Mathematics (2 citations) and Information Systems (69 citations). Agoritsa Polyzou has collaborated with scholars based in United States and Greece. Frequent co-authors include George Karypis, Huzefa Rangwala, Asmaa Elbadrawy, Zhiyun Ren, Αθανάσιος Ν. Νικολακόπουλος, Qian Hu and Maria Kalantzi. Their work appears in journals such as IEEE Transactions on Learning Technologies, Computer, International Journal of Data Science and Analytics, Educational Data Mining and Papers on Engineering Education Repository (American Society for Engineering 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.