Susy S. Chan

31 papers receiving 531 citations

Peers

Susy S. Chan
Comparison fields: 5 of 68
  • Information Systems and Management 308
  • Sociology and Political Science 299
  • Developmental and Educational Psychology 115
  • Information Systems 96
  • Human-Computer Interaction 94
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Countries citing papers authored by Susy S. Chan

Since Specialization
Citations

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

Fields of papers citing papers by Susy S. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susy S. Chan. 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 Susy S. Chan. The network helps show where Susy S. Chan may publish in the future.

Co-authorship network of co-authors of Susy S. Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Susy S. Chan. A scholar is included among the top collaborators of Susy S. Chan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Susy S. Chan. Susy S. Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 65
3
Measuring Flow Experience of Computer Game Players
4
4
Measuring Enjoyment of Computer Game Play
10
5
A Competency Based MSIS Curriculum
23
6 241
7
An Empirical Study of Dual-Modal Information Presentation
4
8
Dual-Modal Presentation of Sequential Information
2
9
ADAPTIVE CONTENT DELIVERY OVER THE MOBILE WEB
1
10
A Study of Task Characteristics and User Intention to Use Handheld Devices for Mobile Commerce
10
11
USABILITY FOR MOBILE COMMERCE ACROSS MULTIPLE FORM FACTORS
79
12
TEACHING HCI IN IS/EC CURRICULUM
6
13
USABILITY ISSUES IN MOBILE COMMERCE
7
14
A conceptual model for e-commerce curriculum design and development
2
15
Implementation Strategies for a Graduate eCommerce Curriculum
4
16
Internet Commerce in the Information Systems Curriculum
5
17
Strategies for Restructuring IT Organizations.
0
18 10
19 7
20
Faculty Participation in Strategic Planning: Incentives and Strategies.
4

About Susy S. Chan

Susy S. Chan is a scholar working on Human-Computer Interaction, Information Systems and Management and Developmental and Educational Psychology, having authored 33 papers that have together received 617 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (8 papers), Usability and User Interface Design (7 papers) and Information Systems Education and Curriculum Development (5 papers). The work is most often cited by research in Information Systems and Management (308 citations), Human-Computer Interaction (94 citations) and Developmental and Educational Psychology (115 citations). Susy S. Chan has collaborated with scholars based in United States. Frequent co-authors include Xiaowen Fang, Jacek Brzeziński, Shuang Xu, Jingli Zhang, Yanzan Zhou, Makoto Nakayama, Rosalee Wolfe, John Burton, Xiao Fang and Linda Knight. Their work appears in journals such as Journal of Management Information Systems, Journal of the Association for Information Systems and International Journal of Human-Computer Studies.

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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