Lars Bollen

1.1k total citations
41 papers, 477 citations indexed

About

Lars Bollen is a scholar working on Developmental and Educational Psychology, Computer Science Applications and Artificial Intelligence. According to data from OpenAlex, Lars Bollen has authored 41 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Developmental and Educational Psychology, 14 papers in Computer Science Applications and 12 papers in Artificial Intelligence. Recurrent topics in Lars Bollen's work include Innovative Teaching and Learning Methods (21 papers), Online Learning and Analytics (8 papers) and Mobile Learning in Education (7 papers). Lars Bollen is often cited by papers focused on Innovative Teaching and Learning Methods (21 papers), Online Learning and Analytics (8 papers) and Mobile Learning in Education (7 papers). Lars Bollen collaborates with scholars based in Netherlands, Germany and United States. Lars Bollen's co-authors include Wouter van Joolingen, H. Ulrich Hoppe, Ton de Jong, Tessa H.S. Eysink, Jos Tolboom, Sabrina C. Eimler, Hannie Gijlers, Andreas Harrer, Ard W. Lazonder and Anjo Anjewierden and has published in prestigious journals such as Journal of Research in Science Teaching, British Journal of Educational Technology and Educational Technology Research and Development.

In The Last Decade

Lars Bollen

37 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lars Bollen Netherlands 13 254 182 167 135 64 41 477
Po‐Yao Chao Taiwan 9 207 0.8× 133 0.7× 214 1.3× 99 0.7× 51 0.8× 17 416
Chen Chung Liu Taiwan 9 162 0.6× 172 0.9× 114 0.7× 88 0.7× 63 1.0× 14 435
Ming‐Puu Chen Taiwan 7 400 1.6× 199 1.1× 222 1.3× 140 1.0× 72 1.1× 26 590
Mike Tissenbaum United States 12 210 0.8× 166 0.9× 275 1.6× 107 0.8× 46 0.7× 47 520
Shelley Shwu‐Ching Young Taiwan 13 253 1.0× 253 1.4× 107 0.6× 197 1.5× 85 1.3× 44 595
Shari L. Jackson United States 7 308 1.2× 219 1.2× 155 0.9× 78 0.6× 65 1.0× 11 497
Pantelis M. Papadopoulos Greece 12 191 0.8× 221 1.2× 118 0.7× 64 0.5× 59 0.9× 53 432
Yun Wen Singapore 14 242 1.0× 242 1.3× 107 0.6× 139 1.0× 36 0.6× 47 523
Chronis Kynigos Greece 14 316 1.2× 287 1.6× 219 1.3× 85 0.6× 45 0.7× 69 601
Tzu Chien Liu Taiwan 8 195 0.8× 156 0.9× 133 0.8× 119 0.9× 46 0.7× 15 368

Countries citing papers authored by Lars Bollen

Since Specialization
Citations

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

Fields of papers citing papers by Lars Bollen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lars Bollen

This figure shows the co-authorship network connecting the top 25 collaborators of Lars Bollen. A scholar is included among the top collaborators of Lars Bollen 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 Lars Bollen. Lars Bollen 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.
Giemza, Adam, Ana I. Molina, Francisco Jurado, et al.. (2020). Learning to Program with COALA, a Distributed Computer Assisted Environment. Zenodo (CERN European Organization for Nuclear Research). 4 indexed citations
2.
Bollen, Lars, et al.. (2020). Using Cloud Services to Develop Learning Scenarios from a Software Engineering Perspective. Zenodo (CERN European Organization for Nuclear Research).
3.
Anjewierden, Anjo, Crescencio Bravo, Lars Bollen, & Rafael Duque. (2020). Automating the Analysis of Problem-solving Activities in Learning Environments: the Co-Lab Case Study. JUCS - Journal of Universal Computer Science. 18(10). 1279–1307. 1 indexed citations
4.
Harrer, Andreas, Bruce M. McLaren, Erin Walker, Lars Bollen, & Jonathan Sewall. (2018). Collaboration and Cognitive Tutoring: Integration, Empirical Results, and Future Directions. Figshare. 266–273.
5.
McLaren, Bruce M., et al.. (2018). Bootstrapping Novice Data: Semi-Automated Tutor Authoring Using Student Log Files. Figshare. 3 indexed citations
6.
Gillet, Denis, et al.. (2017). Cloud ecosystem for supporting inquiry learning with online labs: Creation, personalization, and exploitation. University of Twente Research Information. 322. 208–213. 11 indexed citations
7.
Bollen, Lars, Hannie Gijlers, & Wouter van Joolingen. (2015). Drawings in computer-supported collaborative learning - Empirical and technical results. University of Twente Research Information. 34(3). 559–587. 3 indexed citations
8.
Bollen, Lars, et al.. (2015). Scaffolding learning by modelling: The effects of partially worked‐out models. Journal of Research in Science Teaching. 53(3). 502–523. 33 indexed citations
9.
Alessi, Stephen M., et al.. (2015). The potential of learning from erroneous models: comparing three types of model instruction. System Dynamics Review. 31(4). 250–270. 7 indexed citations
10.
Joolingen, Wouter van, et al.. (2014). Understanding Elementary Astronomy by Making Drawing-Based Models. Journal of Science Education and Technology. 24(2-3). 256–264. 23 indexed citations
11.
Gijlers, Hannie, et al.. (2013). Collaborative drawing on a shared digital canvas in elementary science education: The effects of script and task awareness support. International Journal of Computer-Supported Collaborative Learning. 8(4). 427–453. 41 indexed citations
12.
Bollen, Lars & Wouter van Joolingen. (2013). SimSketch: Multiagent Simulations Based on Learner-Created Sketches for Early Science Education. IEEE Transactions on Learning Technologies. 6(3). 208–216. 19 indexed citations
13.
Giemza, Adam, Lars Bollen, Marc Jansen, & H. Ulrich Hoppe. (2012). An Architecture for Supporting Heterogeneous Multi-Device Learning Environments. Data Archiving and Networked Services (DANS). 67–71. 8 indexed citations
14.
Joolingen, Wouter van, et al.. (2012). Using self‐made drawings to support modelling in science education. British Journal of Educational Technology. 44(1). 82–94. 18 indexed citations
15.
Joolingen, Wouter van & Lars Bollen. (2010). Interactive drawing tools to support modeling of dynamic systems. International Conference of Learning Sciences. 64(1). 169–171.
16.
Aınsworth, Shaaron, Mitchell J. Nathan, Peggy Van Meter, et al.. (2010). Learning about dynamic systems by drawing. International Conference of Learning Sciences. 2 indexed citations
17.
Engler, Jan O., et al.. (2009). Ontology-based Support for Designing Inquiry Learning Scenarios. Data Archiving and Networked Services (DANS). 2 indexed citations
18.
Bollen, Lars, Andreas Harrer, H. Ulrich Hoppe, & Wouter van Joolingen. (2007). A Broker Architecture for Integration of Heterogeneous Applications for Inquiry Learning. University of Twente Research Information. 15–17. 4 indexed citations
19.
McLaren, Bruce M., Lars Bollen, Erin Walker, Andreas Harrer, & Jonathan Sewall. (2005). Cognitive tutoring of collaboration. 418–422. 17 indexed citations
20.
Bollen, Lars, Sabrina C. Eimler, & H. Ulrich Hoppe. (2004). The use of mobile computing to support sms dialogues and classroom discussions in a literature course. a. 550–554. 13 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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