Shyong K. Lam
- Information Systems top 0.2%
- Artificial Intelligence top 1%
- Communication top 1%
- Computer Vision and Pattern Recognition top 2%
- Management Science and Operations Research top 1%
- Co-authors
- John RiedlJoseph A. KonstanIstván AlbertDan CosleyAl Mamunur RashidSean M. McNeeBrad MillerLoren Terveen
- Topics
- Recommender Systems and Techniques (11 papers)Wikis in Education and Collaboration (6 papers)Advanced Bandit Algorithms Research (5 papers)
- Journals
- ComputerIEEE Transactions on Consumer ElectronicsInternational Conference on Human-Computer Interaction
- Partner nations
- United StatesChina
In The Last Decade
Shyong K. Lam
22 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 87
- Information Systems 1.8k
- Artificial Intelligence 1.0k
- Communication 482
- Computer Vision and Pattern Recognition 457
- Management Science and Operations Research 403
Countries citing papers authored by Shyong K. Lam
This map shows the geographic impact of Shyong K. Lam'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 Shyong K. Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shyong K. Lam more than expected).
Fields of papers citing papers by Shyong K. Lam
This network shows the impact of papers produced by Shyong K. Lam. 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 Shyong K. Lam. The network helps show where Shyong K. Lam may publish in the future.
Co-authorship network of co-authors of Shyong K. Lam
This figure shows the co-authorship network connecting the top 25 collaborators of Shyong K. Lam. A scholar is included among the top collaborators of Shyong K. Lam 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 Shyong K. Lam. Shyong K. Lam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 135 | |
| 3 | 2 | |
| 4 | 31 | |
| 5 | 33 | |
| 6 | 12 | |
| 7 | 4 | |
| 8 | ClustKNN: A Highly Scalable Hybrid Model- & Memory-Based CF Algorithm | 65 |
| 9 | 273 | |
| 10 | 417 | |
| 11 | Confidence Displays and Training in Recommender Systems. | 39 |
| 12 | 34 | |
| 13 | 296 | |
| 14 | 348 | |
| 15 | 8 | |
| 16 | 62 | |
| 17 | 286 | |
| 18 | 1 Billion Pages = 1 Million Dollars? mining the web to play "who wants to be a millionaire?" | 11 |
| 19 | 340 | |
| 20 | 1 |
About Shyong K. Lam
Shyong K. Lam is a scholar working on Communication, Computer Science Applications and Information Systems, having authored 22 papers that have together received 2.6k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (11 papers), Wikis in Education and Collaboration (6 papers) and Advanced Bandit Algorithms Research (5 papers). The work is most often cited by research in Information Systems (1.8k citations), Communication (482 citations) and Computer Science Applications (366 citations). Shyong K. Lam has collaborated with scholars based in United States and China. Frequent co-authors include John Riedl, Joseph A. Konstan, István Albert, Dan Cosley, Al Mamunur Rashid, Sean M. McNee, Brad Miller, Loren Terveen, Shilad Sen and Jilin Chen. Their work appears in journals such as Computer, IEEE Transactions on Consumer Electronics and International Conference on Human-Computer Interaction.
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.