Lyn Lim

760 citations
18 papers · 523 · 1 hit paper · h-index 13

Impact in

Papers in

Lyn Lim

18 papers receiving 517 citations

Lyn Lim's Hit Papers

Effects of real-time analytics-based personalized scaffolds on students’ self-regulated learning 2022 · 127 citations
1270+1+2Years since publication4080120

Peers

Lyn Lim
Comparison fields: 5 of 39
  • Computer Science Applications 328
  • Developmental and Educational Psychology 348
  • Health Informatics 13
  • Education 189
  • Communication 28
Replace Lu Zhong with:
Lu Zhong China
Jiayu Niu China
Xiaoshan Huang Canada
Amber Chauncey United States
Miaolang Long China
Daeyeoul Lee United States
Michael Wiedmann Germany
Eulho Jung United States
Geiser Chalco Challco Brazil
Kamila Misiejuk Norway
Lyn Lim relative to Lu Zhong China Lu Zhong's profile →
Citations per field
00.5×1.5×1.9×
Lu Zhong · 1×
Citations per year

Countries citing papers authored by Lyn Lim

Since Specialization
Citations

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

Fields of papers citing papers by Lyn Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Lyn Lim, 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 Lyn Lim Line = papers co-authored together Lyn Lim links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
Effects of real-time analytics-based personalized scaffolds on students’ self-regulated learning
Hit paper breakdown →
2022127
2 202259
3 202251
4 202139
5 202235
6 202231
7 202328
8 202126
9 202226
10 202325
11 202324
12 202319
13 202217
14 20255
15 20245
16 20254
17 20251
18
Facilitating self-regulated learning with personalized scaffolds on student's own regulation activities
20201

About Lyn Lim

Lyn Lim is a scholar working on Developmental and Educational Psychology, Computer Science Applications, Education, Communication and Artificial Intelligence, having authored 18 papers that have together received 523 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (17 papers), Online Learning and Analytics (15 papers), Online and Blended Learning (8 papers), Educational Strategies and Epistemologies (3 papers), Knowledge Management and Sharing (2 papers), E-Learning and Knowledge Management (2 papers), Education and Learning Interventions (1 paper) and Text Readability and Simplification (1 paper). The work is most often cited by research in Computer Science Applications (328 citations), Developmental and Educational Psychology (348 citations), Health Informatics (13 citations), Education (189 citations) and Communication (28 citations). Lyn Lim has collaborated with scholars based in Germany, Australia and Netherlands. Frequent co-authors include Maria Bannert, Dragan Gašević, Joep van der Graaf, Yizhou Fan, Inge Molenaar, Johanna D. Moore, Mladen Raković, Shaveen Singh, Jonathan Kilgour and Tongguang Li. Their work appears in journals such as Metacognition and Learning, Journal of Computer Assisted Learning, Frontiers in Psychology, British Journal of Educational Technology and Computers in Human Behavior.

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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