Konstantina Chrysafiadi

1.4k citations
46 papers · 757 indexed · h-index 15
Topics
Intelligent Tutoring Systems and Adaptive Learning (22 papers)Online Learning and Analytics (19 papers)Educational Technology and Assessment (9 papers)
Partner nations
Greece

In The Last Decade

Konstantina Chrysafiadi

43 papers receiving 705 citations

Peers

Konstantina Chrysafiadi
Comparison fields: 5 of 82
  • Artificial Intelligence 458
  • Computer Science Applications 385
  • Developmental and Educational Psychology 213
  • Information Systems 205
  • Education 87
Replace José Paulo Leal with:
José Paulo Leal Portugal
John Stamper United States
Benjamin D. Nye United States
Deborah Seehorn United States
Martin Hlosta United Kingdom
Noboru Matsuda United States
I‐Han Hsiao United States
Sergey Sosnovsky United States
Jesús Moreno-León Spain
Pamela Jordan United States
Konstantina Chrysafiadi relative to José Paulo Leal Portugal José Paulo Leal's profile →
Citations per field
00.5×1.5×2.1×
José Paulo Leal · 1×
Citations per year

Countries citing papers authored by Konstantina Chrysafiadi

Since Specialization
Citations

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

Fields of papers citing papers by Konstantina Chrysafiadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Konstantina Chrysafiadi

This figure shows the co-authorship network connecting the top 25 collaborators of Konstantina Chrysafiadi. A scholar is included among the top collaborators of Konstantina Chrysafiadi 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 Konstantina Chrysafiadi. Konstantina Chrysafiadi 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
#WorkIndexed citations
1 0
2 0
3 2
4 0
5 2
6 14
7 10
8 11
9 1
10 8
11 9
12 17
13 7
14 32
15 11
16 4
17 8
18 25
19 1
20 44

About Konstantina Chrysafiadi

Konstantina Chrysafiadi is a scholar working on Computer Science Applications, Artificial Intelligence and Developmental and Educational Psychology, having authored 46 papers that have together received 757 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (22 papers), Online Learning and Analytics (19 papers) and Educational Technology and Assessment (9 papers). The work is most often cited by research in Computer Science Applications (385 citations), Developmental and Educational Psychology (213 citations) and Artificial Intelligence (458 citations). Konstantina Chrysafiadi has collaborated with scholars based in Greece. Frequent co-authors include Maria Virvou, Christos Troussas, George A. Tsihrintzis, Ioannis Hatzilygeroudis, Evangelos Sakkopoulos, Efthimios Alepis, Aristea Kontogianni, Dionisios N. Sotiropoulos, Nancy Alonistioti and Dimitrios P. Panagoulias. 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.

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