Vincent Tam
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Information Systems top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- King‐Shan LuiEdmund Y. LamMorris Siu–Yung JongPeter J. StuckeyAndrés MuñozAki HärmäYik‐Chung WuIrene Yu‐Hua Gu
- Topics
- Online Learning and Analytics (13 papers)Constraint Satisfaction and Optimization (12 papers)Energy Efficient Wireless Sensor Networks (12 papers)
In The Last Decade
Vincent Tam
90 papers receiving 806 citations
Peers
Comparison fields: 5 of 97
- Computer Networks and Communications 245
- Electrical and Electronic Engineering 171
- Information Systems 155
- Artificial Intelligence 151
- Computer Vision and Pattern Recognition 141
Countries citing papers authored by Vincent Tam
This map shows the geographic impact of Vincent Tam'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 Vincent Tam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincent Tam more than expected).
Fields of papers citing papers by Vincent Tam
This network shows the impact of papers produced by Vincent Tam. 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 Vincent Tam. The network helps show where Vincent Tam may publish in the future.
Co-authorship network of co-authors of Vincent Tam
This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Tam. A scholar is included among the top collaborators of Vincent Tam 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 Vincent Tam. Vincent Tam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 23 | |
| 8 | 10 | |
| 9 | 13 | |
| 10 | 30 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | Gamifying and Mobilising Social Enquiry-Based Learning in Authentic Outdoor Environments. | 31 |
| 14 | Gamifying Outdoor Social Inquiry Learning with Context-Aware Technology. | 1 |
| 15 | Building smart cameras on mobile tablets for hand gesture recognition | 3 |
| 16 | 0 | |
| 17 | 7 | |
| 18 | Improving the initialization and repair heuristics to effectively solve the pickup and delivery problems with time windows | 1 |
| 19 | 3 | |
| 20 | Semantics for using Stochastic Constraint Solvers in Constraint Logic Programming. | 5 |
About Vincent Tam
Vincent Tam is a scholar working on Computer Science Applications, Human-Computer Interaction and Computer Networks and Communications, having authored 100 papers that have together received 866 indexed citations. Recurring topics across this work include Online Learning and Analytics (13 papers), Constraint Satisfaction and Optimization (12 papers) and Energy Efficient Wireless Sensor Networks (12 papers). The work is most often cited by research in Computer Science Applications (110 citations), Human-Computer Interaction (107 citations) and Computer Networks and Communications (245 citations). Vincent Tam has collaborated with scholars based in Hong Kong, Singapore and Australia. Frequent co-authors include King‐Shan Lui, Edmund Y. Lam, Morris Siu–Yung Jong, Peter J. Stuckey, Andrés Muñoz, Aki Härmä, Yik‐Chung Wu, Irene Yu‐Hua Gu, Matjaž Gams and Ming Tak Hue. Their work appears in journals such as IEEE Access, Sensors and IEEE Transactions on Wireless Communications.
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.