Sven Charleer

35 total papers · 715 total citations
25 papers, 351 citations indexed

About

Sven Charleer is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Education. According to data from OpenAlex, Sven Charleer has authored 25 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Science Applications, 10 papers in Developmental and Educational Psychology and 5 papers in Education. Recurrent topics in Sven Charleer's work include Online Learning and Analytics (16 papers), Educational Games and Gamification (6 papers) and E-Learning and Knowledge Management (5 papers). Sven Charleer is often cited by papers focused on Online Learning and Analytics (16 papers), Educational Games and Gamification (6 papers) and E-Learning and Knowledge Management (5 papers). Sven Charleer collaborates with scholars based in Belgium, Australia and United States. Sven Charleer's co-authors include Katrien Verbert, Joris Klerkx, Erik Duval, Francisco Luís Gutiérrez Vela, Tinne De Laet, Andrew Vande Moere, Kathrin Gerling, Roberto Martínez‐Maldonado, Robin De Croon and José Luis Santos and has published in prestigious journals such as Journal of the Association for Information Systems, IEEE Transactions on Learning Technologies and Journal of Learning Analytics.

In The Last Decade

Sven Charleer

24 papers receiving 333 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sven Charleer 199 114 80 66 55 25 351
Jiawen Zhu 93 0.5× 184 1.6× 123 1.5× 62 0.9× 53 1.0× 25 402
Renny S. N. Lindberg 147 0.7× 213 1.9× 72 0.9× 74 1.1× 44 0.8× 16 393
Marco Arrigo 167 0.8× 102 0.9× 104 1.3× 37 0.6× 30 0.5× 29 377
Xiao‐Fan Lin 90 0.5× 96 0.8× 103 1.3× 32 0.5× 46 0.8× 18 321
Gi Woong Choi 189 0.9× 75 0.7× 144 1.8× 36 0.5× 50 0.9× 23 359
Zilong Pan 126 0.6× 87 0.8× 126 1.6× 30 0.5× 53 1.0× 25 300
Erik Harpstead 164 0.8× 141 1.2× 35 0.4× 68 1.0× 124 2.3× 39 324
Daniel López-Fernández 155 0.8× 171 1.5× 118 1.5× 45 0.7× 32 0.6× 44 399
Meirav Arieli‐Attali 108 0.5× 242 2.1× 114 1.4× 56 0.8× 30 0.5× 14 356
Victoria L. Lowell 91 0.5× 88 0.8× 150 1.9× 27 0.4× 47 0.9× 26 404

Countries citing papers authored by Sven Charleer

Since Specialization
Citations

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

Fields of papers citing papers by Sven Charleer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sven Charleer

This figure shows the co-authorship network connecting the top 25 collaborators of Sven Charleer. A scholar is included among the top collaborators of Sven Charleer 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 Sven Charleer. Sven Charleer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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