Chris van Klaveren

1.7k citations
77 papers · 969 indexed · h-index 18

Chris van Klaveren

69 papers receiving 916 citations

Peers

Chris van Klaveren
Comparison fields: 5 of 94
  • Applied Psychology 163
  • Computer Science Applications 88
  • Human-Computer Interaction 69
  • Education 342
  • Experimental and Cognitive Psychology 141
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Citations per field
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Karin A. Orvis · 1×
Citations per year

Countries citing papers authored by Chris van Klaveren

Since Specialization
Citations

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

Fields of papers citing papers by Chris van Klaveren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris van Klaveren. 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 Chris van Klaveren. The network helps show where Chris van Klaveren may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Chris van Klaveren, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chris van Klaveren Line = papers co-authored together Chris van Klaveren links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202248
3 20223
4 202224
5 20214
6 20215
7 20214
8 202119
9 202010
10
Dynamic Knowledge Tracing Models for Large-Scale Adaptive Learning Environments
20193
11 2019117
12
Oefent een leerling meer door niveaudifferentiatie? Het effect van data-gestuurde differentiatie op leerinspanning en de rol van eerder behaalde cijfers
20171
13
Education and Youth Crime: a Review of the Empirical Literature
20135
14
Systematic Reviews In Education Research: When Do Effect Studies Provide Evidence?
20136
15
Community schools unfolded: a review of the literature
20116
16
Employability naar bedrijfsomvang
20080
17
Uitzendbaan versus direct dienstverband: vergelijking loopbanen CWI-clienten
20080
18
Verdiepende analyse van loonverschillen: de loonachterstand van vrouwen verder uitgediept
20081
19
De arbeidsmarkt van hoger opgeleide bèta’s
20071
20
The influence of work time adjustment on joint activities and the demand for child care
20063

About Chris van Klaveren

Chris van Klaveren is a scholar working on Computer Science Applications, Gender Studies and Applied Psychology, having authored 77 papers that have together received 969 indexed citations. Recurring topics across this work include Gender, Labor, and Family Dynamics (15 papers), School Choice and Performance (15 papers), Online Learning and Analytics (11 papers), Work-Family Balance Challenges (11 papers), Higher Education Research Studies (6 papers), Online and Blended Learning (6 papers), Digital Mental Health Interventions (6 papers) and Parental Involvement in Education (4 papers). The work is most often cited by research in Applied Psychology (163 citations), Computer Science Applications (88 citations) and Human-Computer Interaction (69 citations). Chris van Klaveren has collaborated with scholars based in Netherlands, Germany and Switzerland. Frequent co-authors include Ilja Cornelisz, H. Maassen van den Brink, Wim Groot, Pim Cuijpers, Tara Donker, Kristof De Witte, Jean‐Louis van Gelder, B.M.S. van Praag, Annemieke van Straten and Per Carlbring. Their work appears in journals such as PLoS ONE, PLoS Medicine and Psychological Medicine.

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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