Inge Molenaar

3.4k total citations · 1 hit paper
94 papers, 2.1k citations indexed

About

Inge Molenaar is a scholar working on Developmental and Educational Psychology, Education and Computer Science Applications. According to data from OpenAlex, Inge Molenaar has authored 94 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Developmental and Educational Psychology, 42 papers in Education and 40 papers in Computer Science Applications. Recurrent topics in Inge Molenaar's work include Innovative Teaching and Learning Methods (59 papers), Online Learning and Analytics (40 papers) and Intelligent Tutoring Systems and Adaptive Learning (24 papers). Inge Molenaar is often cited by papers focused on Innovative Teaching and Learning Methods (59 papers), Online Learning and Analytics (40 papers) and Intelligent Tutoring Systems and Adaptive Learning (24 papers). Inge Molenaar collaborates with scholars based in Netherlands, Germany and Australia. Inge Molenaar's co-authors include Carla van Boxtel, Peter Sleegers, Sanna Järvelä, Dragan Gašević, Maria Bannert, C.A.N. Knoop-van Campen, Ming Ming Chiu, Joep van der Graaf, Yizhou Fan and Lyn Lim and has published in prestigious journals such as Computers in Human Behavior, Computers & Education and Sensors.

In The Last Decade

Inge Molenaar

87 papers receiving 2.0k citations

Hit Papers

Effects of real-time analytics-based personalized scaffol... 2022 2026 2023 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Inge Molenaar Netherlands 25 1.3k 931 882 431 195 94 2.1k
Heisawn Jeong South Korea 12 1.1k 0.9× 410 0.4× 754 0.9× 493 1.1× 178 0.9× 39 1.7k
Bruce M. McLaren United States 28 1.4k 1.1× 1.1k 1.2× 681 0.8× 1.2k 2.8× 326 1.7× 95 2.6k
Manolis Mavrikis United Kingdom 20 709 0.6× 822 0.9× 494 0.6× 670 1.6× 219 1.1× 109 1.6k
Ingo Kollar Germany 19 1.5k 1.2× 484 0.5× 1.3k 1.4× 186 0.4× 249 1.3× 84 2.2k
Susanne Narciss Germany 20 889 0.7× 335 0.4× 1.1k 1.3× 221 0.5× 136 0.7× 74 1.8k
Kristy Elizabeth Boyer United States 24 771 0.6× 1.1k 1.2× 310 0.4× 765 1.8× 305 1.6× 174 2.1k
Bas Giesbers Netherlands 16 426 0.3× 599 0.6× 797 0.9× 196 0.5× 200 1.0× 42 1.6k
Martine Baars Netherlands 19 900 0.7× 429 0.5× 696 0.8× 223 0.5× 157 0.8× 40 1.5k
Jonna Malmberg Finland 32 2.0k 1.6× 941 1.0× 1.4k 1.6× 232 0.5× 248 1.3× 59 2.9k

Countries citing papers authored by Inge Molenaar

Since Specialization
Citations

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

Fields of papers citing papers by Inge Molenaar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inge Molenaar

This figure shows the co-authorship network connecting the top 25 collaborators of Inge Molenaar. A scholar is included among the top collaborators of Inge Molenaar 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 Inge Molenaar. Inge Molenaar 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
1.
Fan, Yizhou, Tongguang Li, Mladen Raković, et al.. (2025). FLoRA Engine. Journal of Learning Analytics. 12(1). 391–413. 2 indexed citations
2.
Li, Tongguang, Mladen Raković, Xinyu Li, et al.. (2025). Towards reliable generative AI-driven scaffolding: Reducing hallucinations and enhancing quality in self-regulated learning support. Computers & Education. 240. 105448–105448. 1 indexed citations
3.
Li, Xinyu, Tongguang Li, Lixiang Yan, et al.. (2025). FLoRA: An advanced AI-powered engine to facilitate hybrid human-AI regulated learning. Computers & Education. 243. 105527–105527.
4.
Molenaar, Inge, et al.. (2025). Configuring and Monitoring Students' Interactions with Generative AI Tools: Supporting Teacher Autonomy. Radboud Repository (Radboud University). 895–902. 2 indexed citations
5.
Chen, Guanliang, Yizhou Fan, Mladen Raković, et al.. (2024). Towards prescriptive analytics of self‐regulated learning strategies: A reinforcement learning approach. British Journal of Educational Technology. 55(4). 1747–1771. 4 indexed citations
7.
Järvelä, Sanna, et al.. (2023). Advancing SRL research with artificial intelligence. Computers in Human Behavior. 147. 107847–107847. 22 indexed citations
8.
Sleegers, P.J.C., et al.. (2023). Wat leraren doen: de inzet van adaptieve leermiddelen in het basisonderwijs. Pedagogische Studiën. 100(1). 1–34. 2 indexed citations
9.
Kleemans, Mariska, et al.. (2022). Developing A Model of News Literacy in Early Adolescents: A Survey Study. Mass Communication & Society. 26(1). 74–98. 14 indexed citations
10.
Molenaar, Inge, et al.. (2019). Designing dashboards to support learners' self-regulated learning. Data Archiving and Networked Services (DANS). 764–775. 9 indexed citations
11.
Leeuwen, Anouschka van, Nikol Rummel, Vincent Aleven, et al.. (2018). Symposium orchestration tools for teachers in the context of individual and collaborative learning: What information do teachers need and what do they do with it?. International Conference of Learning Sciences. 2. 1227–1234. 6 indexed citations
12.
Molenaar, Inge & C.A.N. Knoop-van Campen. (2018). Experience matters: The impact of dashboards on teachers' feedback. Data Archiving and Networked Services (DANS). 1231–1232. 1 indexed citations
13.
Molenaar, Inge & C.A.N. Knoop-van Campen. (2017). How teachers differ in using dashboards: The Classroom Observation App. Data Archiving and Networked Services (DANS). 2 indexed citations
14.
Molenaar, Inge, et al.. (2016). Technology‐enhanced storytelling stimulating parent–child interaction and preschool children's vocabulary knowledge. Journal of Computer Assisted Learning. 33(2). 123–136. 30 indexed citations
15.
Molenaar, Inge & Ming Ming Chiu. (2013). Dissecting sequences of regulation and cognition: statistical discourse analysis of primary school children’s collaborative learning. Metacognition and Learning. 9(2). 137–160. 74 indexed citations
16.
Molenaar, Inge, Claudia Roda, Carla van Boxtel, & Peter Sleegers. (2011). Dynamic scaffolding of socially regulated learning in a computer-based learning environment. Computers & Education. 59(2). 515–523. 63 indexed citations
17.
Molenaar, Inge, Carla van Boxtel, & Peter Sleegers. (2010). The effects of scaffolding metacognitive activities in small groups. Computers in Human Behavior. 26(6). 1727–1738. 52 indexed citations
18.
Molenaar, Inge, et al.. (2009). Different forms of Scaffolding, Different Learning Outcomes. UvA-DARE (University of Amsterdam). 200. 611–613.
19.
Molenaar, Inge. (2003). Exploration-net: Online collaboration. EdMedia: World Conference on Educational Media and Technology. 2003(1). 398–400. 3 indexed citations
20.
Molenaar, Inge. (2003). Knowledge exchange from citizens to learners through online collaboration. EdMedia: World Conference on Educational Media and Technology. 2003(1). 894–899. 4 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.

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