Esther Tan

467 citations
31 papers · 289 · h-index 10

Impact in

    • Online Learning and Analytics
    • E-Learning and Knowledge Management
  • Education top 5%
    • Online and Blended Learning
    • Higher Education and Employability
    • Student Assessment and Feedback

Papers in

Esther Tan

29 papers receiving 262 citations

Peers

Esther Tan
Comparison fields: 5 of 55
  • Computer Science Applications 71
  • Education 170
  • Developmental and Educational Psychology 71
  • Safety Research 31
  • Information Systems 69
Replace Emilia Askari with:
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Citations per field
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Citations per year

Countries citing papers authored by Esther Tan

Since Specialization
Citations

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

Fields of papers citing papers by Esther Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Esther Tan, 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 Esther Tan Line = papers co-authored together Esther Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201588
2 201927
3 201817
4 201816
5 202115
6
Collaborative Mobile Learning in Situ from Knowledge Building Perspectives
201212
7 199812
8 201411
9 201810
10 20189
11
The Quality of Open Online Learning and Education: Towards a Quality Reference Framework for MOOCs
20188
12 20208
13 20117
14 20027
15 20207
16 19896
17
Discipline problems in schools: teachers' perception
19985
18 19884
19 19953
20
The validity of Holland’s personality typology theory in an Asian culture
19903

About Esther Tan

Esther Tan is a scholar working on Education, Developmental and Educational Psychology, Information Systems, Safety Research and Computer Science Applications, having authored 31 papers that have together received 289 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (11 papers), Mobile Learning in Education (10 papers), Career Development and Diversity (6 papers), Online Learning and Analytics (5 papers), Online and Blended Learning (4 papers), Higher Education and Employability (4 papers), Youth Education and Societal Dynamics (3 papers) and Wikis in Education and Collaboration (2 papers). The work is most often cited by research in Computer Science Applications (71 citations), Education (170 citations), Developmental and Educational Psychology (71 citations), Safety Research (31 citations) and Information Systems (69 citations). Esther Tan has collaborated with scholars based in Netherlands, Singapore and Germany. Frequent co-authors include Hyo‐Jeong So, Karen D. Könings, Jim Slotta, Christian M. Stracke, Slavi Stoyanov, Cleo Sgouropoulou, Achilles Kameas, Claudia Hauff, Yuan Cheng and Marcus Specht. Their work appears in journals such as Instructional Science, The Journal of Environmental Education, The Career Development Quarterly, Educational Technology Research and Development and Journal of Vocational 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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