Rianne Conijn

29 papers receiving 786 citations

Rianne Conijn's Hit Papers

Supporting learners' self-regulated learning in Massive Open Online Courses 2019 · 210 citations
2100+3+6Years since publication50100150200

Peers

Rianne Conijn
Comparison fields: 5 of 72
  • Computer Science Applications 425
  • Health Informatics 29
  • Developmental and Educational Psychology 190
  • Education 360
  • Information Systems 136
Replace Rose Luckin with:
Rose Luckin United Kingdom
Rwitajit Majumdar Japan
Zachari Swiecki Australia
Paula De Barba Australia
Kam Cheong Li Hong Kong
Carmel Kent Israel
Negin Mirriahi Australia
Abdülkadir Karadeniz Türkiye
Michael Timms United States
Sdenka Zobeida Salas‐Pilco China
Rianne Conijn relative to Rose Luckin United Kingdom Rose Luckin's profile →
Citations per field
00.5×2.9×
Rose Luckin · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Rianne Conijn, 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 Rianne Conijn Line = papers co-authored together Rianne Conijn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Predicting Student Performance from LMS Data: A Comparison of 17 Blended Courses Using Moodle LMS
Hit paper breakdown →
2016246
2
Supporting learners' self-regulated learning in Massive Open Online Courses
Hit paper breakdown →
2019210
3 201873
4 201939
5 202337
6 202233
7 201933
8 202026
9 201925
10 202215
11 202113
12 20219
13 20208
14 20258
15 20198
16 20215
17 20204
18 20204
19
What's (not) in a Keystroke? Automatic Discovery of Students' Writing Processes Using Keystroke Logging
20184
20 20173

About Rianne Conijn

Rianne Conijn is a scholar working on Education, Artificial Intelligence, Computer Science Applications, Information Systems and Literature and Literary Theory, having authored 29 papers that have together received 820 indexed citations. Recurring topics across this work include Writing and Handwriting Education (11 papers), Online Learning and Analytics (7 papers), Online and Blended Learning (6 papers), Discourse Analysis in Language Studies (4 papers), Text Readability and Simplification (4 papers), Digital Accessibility for Disabilities (3 papers), Software Engineering Research (3 papers) and Innovative Teaching and Learning Methods (3 papers). The work is most often cited by research in Computer Science Applications (425 citations), Health Informatics (29 citations), Developmental and Educational Psychology (190 citations), Education (360 citations) and Information Systems (136 citations). Rianne Conijn has collaborated with scholars based in Netherlands, Belgium and United States. Frequent co-authors include Chris Snijders, Uwe Matzat, Ad Kleingeld, Renée S. Jansen, Liesbeth Kester, Anouschka van Leeuwen, Jeroen Janssen, Antoine van den Beemt, Menno van Zaanen and Pjl Pieter Cuijpers. Their work appears in journals such as Reading and Writing, Journal of Learning Analytics, IEEE Transactions on Learning Technologies, Computers & Education and Journal of Computer Assisted Learning.

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.

Explore authors with similar magnitude of impact