Lyn Lim

682 citations
18 papers · 437 · 1 hit paper · h-index 13

Impact in

Papers in

Lyn Lim

17 papers receiving 425 citations

Lyn Lim's Hit Papers

Effects of real-time analytics-based personalized scaffolds on students’ self-regulated learning 2022 · 104 citations
1040+1+2Years since publication255075100

Peers

Lyn Lim
Comparison fields: 5 of 38
  • Computer Science Applications 284
  • Developmental and Educational Psychology 304
  • Health Informatics 12
  • Education 177
  • Communication 27
Replace Lu Zhong with:
Lu Zhong China
Jiayu Niu China
Xiaoshan Huang Canada
Daeyeoul Lee United States
Melody Siadaty Canada
Jim Ranalli United States
Kalliopi Benetos Switzerland
Amber Chauncey United States
Zhanni Luo China
Hui‐Fang Shang Taiwan
Lyn Lim relative to Lu Zhong China Lu Zhong's profile →
Citations per field
00.5×1.7×
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 →
2022104
2 202252
3 202242
4 202233
5 202130
6 202227
7 202123
8 202223
9 202322
10 202321
11 202320
12 202316
13 202215
14 20244
15 20252
16 20252
17
Facilitating self-regulated learning with personalized scaffolds on student's own regulation activities
20201
18 20250

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 437 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), E-Learning and Knowledge Management (2 papers), Knowledge Management and Sharing (2 papers), Educational Assessment and Pedagogy (1 paper) and Education and Critical Thinking Development (1 paper). The work is most often cited by research in Computer Science Applications (284 citations), Developmental and Educational Psychology (304 citations), Health Informatics (12 citations), Education (177 citations) and Communication (27 citations). Lyn Lim has collaborated with scholars based in Germany, Australia and Netherlands. Frequent co-authors include Dragan Gašević, Joep van der Graaf, Yizhou Fan, Inge Molenaar, Maria Bannert, 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 Educational Psychology Review.

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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