Rianne Conijn

1.2k total citations · 2 hit papers
29 papers, 784 citations indexed

About

Rianne Conijn is a scholar working on Education, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, Rianne Conijn has authored 29 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Education, 10 papers in Artificial Intelligence and 7 papers in Computer Science Applications. Recurrent topics in Rianne Conijn's work include Writing and Handwriting Education (11 papers), Online Learning and Analytics (7 papers) and Online and Blended Learning (6 papers). Rianne Conijn is often cited by papers focused on Writing and Handwriting Education (11 papers), Online Learning and Analytics (7 papers) and Online and Blended Learning (6 papers). Rianne Conijn collaborates with scholars based in Netherlands, Belgium and United Kingdom. Rianne Conijn's co-authors include Chris Snijders, Uwe Matzat, Ad Kleingeld, Renée S. Jansen, Anouschka van Leeuwen, Liesbeth Kester, Jeroen Janssen, Antoine van den Beemt, Menno van Zaanen and Pjl Pieter Cuijpers and has published in prestigious journals such as Computers & Education, Journal of Experimental Psychology General and Journal of Computer-Mediated Communication.

In The Last Decade

Rianne Conijn

29 papers receiving 752 citations

Hit Papers

align trajectories

What are hit papers?

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.

Predicting Student Performance from LMS Data: A Comparison of 17 Blended Courses Using Moodle LMS

2016 241 citations Rianne Conijn, Chris Snijders et al. IEEE Transactions on Learning Technologies profile →
Supporting learners' self-regulated learning in Massive Open Online Courses

2019 203 citations Rianne Conijn et al. Computers & Education profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rianne Conijn Netherlands	11	417	351	188	171	135	29	784
Rwitajit Majumdar Japan	13	394 0.9×	356 1.0×	214 1.1×	125 0.7×	153 1.1×	85	793
Paula De Barba Australia	12	758 1.8×	454 1.3×	228 1.2×	156 0.9×	119 0.9×	31	1.0k
Ioana Jivet Germany	12	592 1.4×	286 0.8×	239 1.3×	143 0.8×	92 0.7×	29	820
Daner Sun Hong Kong	17	338 0.8×	433 1.2×	310 1.6×	119 0.7×	271 2.0×	86	929
Carmel Kent Israel	9	288 0.7×	308 0.9×	173 0.9×	137 0.8×	128 0.9×	25	763
Rose Luckin United Kingdom	15	219 0.5×	267 0.8×	224 1.2×	150 0.9×	147 1.1×	49	698
Donggil Song United States	15	257 0.6×	338 1.0×	235 1.3×	140 0.8×	158 1.2×	35	723
Kam Cheong Li Hong Kong	16	451 1.1×	400 1.1×	157 0.8×	112 0.7×	252 1.9×	88	900
Young Hoan Cho South Korea	13	249 0.6×	501 1.4×	307 1.6×	129 0.8×	143 1.1×	50	945
Kyungbin Kwon United States	17	366 0.9×	398 1.1×	417 2.2×	84 0.5×	151 1.1×	58	891

Countries citing papers authored by Rianne Conijn

Since Specialization

Citations

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

Fields of papers citing papers by Rianne Conijn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rianne Conijn

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Oliveira, Manuel, Carlos Zednik, Gunter Bombaerts, Bert M. Sadowski, & Rianne Conijn. (2025). Assessing students’ DRIVE: A framework to evaluate learning through interactions with generative AI. Computers and Education Artificial Intelligence. 9. 100497–100497. 1 indexed citations

Snijders, Chris J., et al.. (2025). Dynamics of self-regulated learning: The effectiveness of students’ strategies across course periods. Computers & Education. 228. 105233–105233. 7 indexed citations

Conijn, Rianne, et al.. (2025). Typing in tandem: Language planning in multisentence text production is fundamentally parallel.. Journal of Experimental Psychology General. 154(7). 1824–1854. 2 indexed citations

Matzat, Uwe, et al.. (2024). Boundary Conditions of Generalizing Predictive Models for Academic Performance: Within Cohort Versus Within Course. IEEE Transactions on Learning Technologies. 17. 2129–2140. 2 indexed citations

Conijn, Rianne, et al.. (2024). Comparing Implementations of Explainable Artificial Intelligence using End-User Evaluations: Protocol for a Systematic Review v1. 1 indexed citations

Conijn, Rianne, et al.. (2023). The Effects of Explanations in Automated Essay Scoring Systems on Student Trust and Motivation. Journal of Learning Analytics. 10(1). 37–53. 34 indexed citations

Torrance, Mark & Rianne Conijn. (2023). Methods for studying the writing time-course. Reading and Writing. 37(2). 239–251. 2 indexed citations

Conijn, Rianne, et al.. (2023). Measuring non-linearity of multi-session writing processes. Reading and Writing. 37(2). 511–537. 1 indexed citations

Snijders, Chris, et al.. (2022). Humans and Algorithms Detecting Fake News: Effects of Individual and Contextual Confidence on Trust in Algorithmic Advice. International Journal of Human-Computer Interaction. 39(7). 1483–1494. 13 indexed citations

10.

Conijn, Rianne, Ad Kleingeld, Uwe Matzat, & Chris Snijders. (2022). The fear of big brother: The potential negative side‐effects of proctored exams. Journal of Computer Assisted Learning. 38(6). 1521–1534. 29 indexed citations

11.

Conijn, Rianne, Christine Cook, Menno van Zaanen, & Luuk Van Waes. (2021). Early prediction of writing quality using keystroke logging. International Journal of Artificial Intelligence in Education. 32(4). 835–866. 8 indexed citations

12.

Conijn, Rianne, et al.. (2021). Automated extraction of revision events from keystroke data. Reading and Writing. 37(2). 483–508. 3 indexed citations

13.

Knight, Simon, Antonette Shibani, Rianne Conijn, et al.. (2020). Are You Being Rhetorical? A Description of Rhetorical Move Annotation Tools and Open Corpus of Sample Machine-Annotated Rhetorical Moves. Journal of Learning Analytics. 7(3). 138–154. 6 indexed citations

14.

Haas, Mirjam de & Rianne Conijn. (2020). Carrot or Stick. Data Archiving and Networked Services (DANS). 177–179. 4 indexed citations

15.

Conijn, Rianne. (2020). The Keys to Writing : A writing analytics approach to studying writing processes using keystroke logging. Research portal (Tilburg University). 3 indexed citations

16.

Conijn, Rianne, Roberto Martínez‐Maldonado, Simon Knight, et al.. (2020). How to provide automated feedback on the writing process? A participatory approach to design writing analytics tools. Computer Assisted Language Learning. 35(8). 1838–1868. 26 indexed citations

17.

Cook, Christine, Rianne Conijn, Juliëtte Schaafsma, & Marjolijn L. Antheunis. (2019). For Whom the Gamer Trolls: A Study of Trolling Interactions in the Online Gaming Context. Journal of Computer-Mediated Communication. 24 indexed citations

18.

Conijn, Rianne & Menno van Zaanen. (2017). Identifying writing tasks using sequences of keystrokes. Data Archiving and Networked Services (DANS). 28–35. 3 indexed citations

19.

Conijn, Rianne, Ad Kleingeld, Uwe Matzat, Chris Snijders, & Menno van Zaanen. (2016). Influence of course characteristics, student characteristics, and behavior in learning management systems on student performance. TU/e Research Portal. 2 indexed citations

20.

Conijn, Rianne, Chris Snijders, Ad Kleingeld, & Uwe Matzat. (2016). Predicting Student Performance from LMS Data: A Comparison of 17 Blended Courses Using Moodle LMS. IEEE Transactions on Learning Technologies. 10(1). 17–29. 241 indexed citations breakdown →

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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