Eric T.K. Lim
Impact in
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- Technology Adoption and User Behaviour
- Marketing top 1%
- Consumer Retail Behavior Studies
- Consumer Behavior in Brand Consumption and Identification
Papers in
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- Digital Marketing and Social Media 21
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- Technology Adoption and User Behaviour 29
- Co-authors
- Chee‐Wee Tan (62 shared papers)Shan L. Pan (13 shared papers)Dianne Cyr (10 shared papers)Fei Liu (21 shared papers)Milena Head (2 shared papers)Agnis Stibe (2 shared papers)Hefu Liu (5 shared papers)Bo Xiao (8 shared papers)
In The Last Decade
Eric T.K. Lim
85 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 96
- Information Systems and Management 484
- Marketing 555
- Management Information Systems 330
- Organizational Behavior and Human Resource Management 287
- Communication 146
Countries citing papers authored by Eric T.K. Lim
This map shows the geographic impact of Eric T.K. 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 Eric T.K. Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric T.K. Lim more than expected).
Fields of papers citing papers by Eric T.K. Lim
This network shows the impact of papers produced by Eric T.K. 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 Eric T.K. Lim. The network helps show where Eric T.K. Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric T.K. Lim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 228 | |
| 2 | 2018 | 189 | |
| 3 | 2018 | 144 | |
| 4 | 2019 | 134 | |
| 5 | 2019 | 106 | |
| 6 | 2005 | 98 | |
| 7 | 2005 | 88 | |
| 8 | 2016 | 84 | |
| 9 | 2017 | 82 | |
| 10 | 2011 | 62 | |
| 11 | 2004 | 61 | |
| 12 | 2022 | 46 | |
| 13 | Value Creation in Cryptocurrency Networks: Towards a Taxonomy of Digital Business Models for Bitcoin Companies | 2015 | 37 |
| 14 | 2020 | 33 | |
| 15 | 2007 | 27 | |
| 16 | 2023 | 26 | |
| 17 | 2005 | 23 | |
| 18 | Sports Digitalization : An Overview and A Research Agenda | 2017 | 21 |
| 19 | 2017 | 20 | |
| 20 | 2022 | 17 |
About Eric T.K. Lim
Eric T.K. Lim is a scholar working on Sociology and Political Science, Information Systems and Management, Management Information Systems, Marketing and Communication, having authored 97 papers that have together received 1.8k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (29 papers), Digital Marketing and Social Media (21 papers), Knowledge Management and Sharing (10 papers), E-Government and Public Services (9 papers), FinTech, Crowdfunding, Digital Finance (9 papers), Sharing Economy and Platforms (7 papers), Digital Platforms and Economics (7 papers) and Consumer Retail Behavior Studies (7 papers). The work is most often cited by research in Information Systems and Management (484 citations), Marketing (555 citations), Management Information Systems (330 citations), Organizational Behavior and Human Resource Management (287 citations) and Communication (146 citations). Eric T.K. Lim has collaborated with scholars based in Australia, Denmark and China. Frequent co-authors include Chee‐Wee Tan, Shan L. Pan, Dianne Cyr, Fei Liu, Milena Head, Agnis Stibe, Hefu Liu, Bo Xiao, Jie Mein Goh and Yang Li. Their work appears in journals such as Journal of the Association for Information Systems, Industrial Management & Data Systems, Information & Management, Journal of Management Analytics and Internet Research.
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.