Gek Woo Tan
- Management Information Systems top 2%
- Marketing top 5%
- Information Systems top 5%
- Strategy and Management top 5%
- Artificial Intelligence top 10%
- Co-authors
- Michael ShawChandrasekar SubramaniamMichael WelgeMichael J. ShawKwok‐Kee WeiJingquan LiRiyaz SikoraC.C. Hayes
- Topics
- Collaboration in agile enterprises (3 papers)Business Process Modeling and Analysis (3 papers)Supply Chain and Inventory Management (2 papers)
- Journals
- Decision Support SystemsJournal of the Association for Information SystemsIEEE Transactions on Engineering Management
- Partner nations
- United StatesSingaporeHong Kong
In The Last Decade
Gek Woo Tan
12 papers receiving 668 citations
Peers
Comparison fields: 5 of 93
- Management Information Systems 243
- Marketing 195
- Information Systems 183
- Strategy and Management 167
- Artificial Intelligence 120
Countries citing papers authored by Gek Woo Tan
This map shows the geographic impact of Gek Woo 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 Gek Woo Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gek Woo Tan more than expected).
Fields of papers citing papers by Gek Woo Tan
This network shows the impact of papers produced by Gek Woo 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 Gek Woo Tan. The network helps show where Gek Woo Tan may publish in the future.
Co-authorship network of co-authors of Gek Woo Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Gek Woo Tan. A scholar is included among the top collaborators of Gek Woo Tan 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 Gek Woo Tan. Gek Woo Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Turnover in Information Systems Development Projects - Managing Forgetting | 6 |
| 2 | 68 | |
| 3 | 118 | |
| 4 | 41 | |
| 5 | 389 | |
| 6 | Evaluating Information Sharing Strategies in Supply Chains | 7 |
| 7 | 25 | |
| 8 | 24 | |
| 9 | The Impact of Demand Information Sharing on Supply Chain Network | 14 |
| 10 | 9 | |
| 11 | 8 | |
| 12 | 56 |
About Gek Woo Tan
Gek Woo Tan is a scholar working on Management Information Systems, Management of Technology and Innovation and Human-Computer Interaction, having authored 12 papers that have together received 765 indexed citations. Recurring topics across this work include Collaboration in agile enterprises (3 papers), Business Process Modeling and Analysis (3 papers) and Supply Chain and Inventory Management (2 papers). The work is most often cited by research in Management Information Systems (243 citations), Marketing (195 citations) and Information Systems and Management (84 citations). Gek Woo Tan has collaborated with scholars based in United States, Singapore and Hong Kong. Frequent co-authors include Michael Shaw, Chandrasekar Subramaniam, Michael Welge, Michael J. Shaw, Kwok‐Kee Wei, Jingquan Li, Riyaz Sikora, C.C. Hayes, Michael J. Shaw and Bill Fulkerson. Their work appears in journals such as Decision Support Systems, Journal of the Association for Information Systems and IEEE Transactions on Engineering Management.
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.