Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Identifying the pitfalls for social interaction in computer-supported collaborative learning environments: a review of the research
20031.0k citationsKarel Kreijns, Paul A. Kirschner et al.profile →
Social Presence: Conceptualization and Measurement
2021173 citationsKarel Kreijns, Kate M. Xu et al.Educational Psychology Reviewprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Karel Kreijns'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 Karel Kreijns with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karel Kreijns more than expected).
This network shows the impact of papers produced by Karel Kreijns. 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 Karel Kreijns. The network helps show where Karel Kreijns may publish in the future.
Co-authorship network of co-authors of Karel Kreijns
This figure shows the co-authorship network connecting the top 25 collaborators of Karel Kreijns.
A scholar is included among the top collaborators of Karel Kreijns 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 Karel Kreijns. Karel Kreijns is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kreijns, Karel, Kate M. Xu, & Joshua Weidlich. (2021). Social Presence: Conceptualization and Measurement. Educational Psychology Review. 34(1). 139–170.173 indexed citations breakdown →
10.
Weidlich, Joshua, Karel Kreijns, Kamakshi Rajagopal, & Theo Bastiaens. (2018). What Social Presence is, what it isn’t, and how to measure it: A work in progress. EdMedia + Innovate Learning. 2142–2150.10 indexed citations
11.
Castaño‐Muñoz, Jonatan, Marco Kalz, Karel Kreijns, & Yves Punie. (2016). Influence of employer support for professional development on MOOCs enrolment and comple-tion: Results from a cross-course survey. DSpace (Open University in the Netherlands).11 indexed citations
12.
Ros, Anje, et al.. (2016). Usefulness of Social Network Sites for Adolescents' Development of Online Career Skills. Educational Technology & Society. 19(4). 140–150.9 indexed citations
Vermeulen, Marjan, Frederik Van Acker, Karel Kreijns, & Hans van Buuren. (2012). Leraren en hun intentie tot het gebruik van digitale leermaterialen in hun onderwijspraktijk. SHILAP Revista de lepidopterología. 89(3). 159–173.3 indexed citations
Kreijns, Karel, et al.. (2010). The Influence of Guidance on the Quality of Professional Development Plans. Society for Information Technology & Teacher Education International Conference. 2010(1). 98–105.1 indexed citations
17.
Kirschner, Paul A., Wmg Wim Jochems, & Karel Kreijns. (2005). Is technology-based collaborative learning antisocial? or: what are we doing to make it so!. TU/e Research Portal (Eindhoven University of Technology). 45(5). 8–12.4 indexed citations
Kreijns, Karel. (2004). Sociable CSCL environments. Social affordances, sociability, and social presence. DSpace (Open University in the Netherlands).20 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.