Richard C.M. Yam
- Strategy and Management top 0.5%
- Safety, Risk, Reliability and Quality top 0.1%
- Economics and Econometrics top 1%
- Management of Technology and Innovation top 0.5%
- Management Information Systems top 1%
- Co-authors
- Esther P.Y. TangAntonio K.W. LauMing J. ZuoJian GuanPeter W. TseC.K. MokKit Fai PunYanjun Peng
- Topics
- Reliability and Maintenance Optimization (23 papers)Innovation and Knowledge Management (17 papers)Statistical Distribution Estimation and Applications (11 papers)
In The Last Decade
Richard C.M. Yam
83 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 149
- Strategy and Management 2.0k
- Safety, Risk, Reliability and Quality 1.2k
- Economics and Econometrics 915
- Management of Technology and Innovation 798
- Management Information Systems 701
Countries citing papers authored by Richard C.M. Yam
This map shows the geographic impact of Richard C.M. Yam'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 Richard C.M. Yam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard C.M. Yam more than expected).
Fields of papers citing papers by Richard C.M. Yam
This network shows the impact of papers produced by Richard C.M. Yam. 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 Richard C.M. Yam. The network helps show where Richard C.M. Yam may publish in the future.
Co-authorship network of co-authors of Richard C.M. Yam
This figure shows the co-authorship network connecting the top 25 collaborators of Richard C.M. Yam. A scholar is included among the top collaborators of Richard C.M. Yam 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 Richard C.M. Yam. Richard C.M. Yam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | Knowledge Assets, Supplier & Customer Coordination and Product Performance | 1 |
| 3 | 76 | |
| 4 | 19 | |
| 5 | 20 | |
| 6 | 36 | |
| 7 | 43 | |
| 8 | 24 | |
| 9 | 92 | |
| 10 | 117 | |
| 11 | 277 | |
| 12 | 422 | |
| 13 | 51 | |
| 14 | 2 | |
| 15 | 87 | |
| 16 | 150 | |
| 17 | 5 | |
| 18 | 37 | |
| 19 | 10 | |
| 20 | 11 |
About Richard C.M. Yam
Richard C.M. Yam is a scholar working on Safety, Risk, Reliability and Quality, Software and Management of Technology and Innovation, having authored 83 papers that have together received 5.6k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (23 papers), Innovation and Knowledge Management (17 papers) and Statistical Distribution Estimation and Applications (11 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (1.2k citations), Strategy and Management (2.0k citations) and Software (493 citations). Richard C.M. Yam has collaborated with scholars based in Hong Kong, China and Canada. Frequent co-authors include Esther P.Y. Tang, Antonio K.W. Lau, Ming J. Zuo, Jian Guan, Peter W. Tse, C.K. Mok, Kit Fai Pun, Yanjun Peng, William Lo and Kwai‐Sang Chin. Their work appears in journals such as Journal of Cleaner Production, European Journal of Operational Research and Research Policy.
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.