Su-Mae Tan

34 papers receiving 677 citations

Peers

Su-Mae Tan
Comparison fields: 5 of 68
  • Human-Computer Interaction 104
  • Information Systems and Management 114
  • Experimental and Cognitive Psychology 144
  • Developmental and Educational Psychology 117
  • Social Psychology 163
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Countries citing papers authored by Su-Mae Tan

Since Specialization
Citations

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

Fields of papers citing papers by Su-Mae Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Su-Mae 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 Su-Mae Tan Line = papers co-authored together Su-Mae Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202083
2 201764
3
The Effects of Positive and Negative Mood on Cognition and Motivation in Multimedia Learning Environment.
201652
4 201752
5 202150
6
The Effects of Peer-Like and Expert-Like Pedagogical Agents on Learners' Agent Perceptions, Task-Related Attitudes, and Learning Achievement
201349
7 202046
8 201641
9 202234
10 201628
11 202228
12 202227
13 202018
14 202316
15 202114
16 201213
17 200213
18 202212
19 202211
20 20148

About Su-Mae Tan

Su-Mae Tan is a scholar working on Information Systems and Management, Experimental and Cognitive Psychology, Developmental and Educational Psychology, Artificial Intelligence and Sociology and Political Science, having authored 39 papers that have together received 700 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (16 papers), Technology Adoption and User Behaviour (14 papers), AI in Service Interactions (12 papers), Innovative Teaching and Learning Methods (8 papers), Visual and Cognitive Learning Processes (7 papers), Online and Blended Learning (6 papers), Virtual Reality Applications and Impacts (4 papers) and Social Robot Interaction and HRI (4 papers). The work is most often cited by research in Human-Computer Interaction (104 citations), Information Systems and Management (114 citations), Experimental and Cognitive Psychology (144 citations), Developmental and Educational Psychology (117 citations) and Social Psychology (163 citations). Su-Mae Tan has collaborated with scholars based in Malaysia, United Kingdom and Indonesia. Frequent co-authors include Tze Wei Liew, Hishamuddin Ismail, Si Na Kew, Chin Lay Gan, Teck Ming Tan, Noraidah Sahari Ashaari, Nor Azan Mat Zin, Susan Pockett, Mohammad Tariqul Islam Khan and Gerald Guan Gan Goh. Their work appears in journals such as Human Behavior and Emerging Technologies, Information and Learning Sciences, International Journal of Human-Computer Interaction, Educational Technology & Society and Telematics and Informatics.

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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