Kam Ki Tang
- Economics and Econometrics top 2%
- General Health Professions top 5%
- General Economics, Econometrics and Finance top 5%
- Sociology and Political Science top 10%
- Strategy and Management top 10%
- Co-authors
- D. S. Prasada RaoNicholas RohdeDo Won KwakLili WangYong ZhaoLars OsbergJames LaurencesonDuangkamon Chotikapanich
- Topics
- Global Health Care Issues (18 papers)Global trade and economics (16 papers)Economic Growth and Productivity (12 papers)
In The Last Decade
Kam Ki Tang
68 papers receiving 972 citations
Peers
Comparison fields: 5 of 103
- Economics and Econometrics 423
- General Health Professions 230
- General Economics, Econometrics and Finance 198
- Sociology and Political Science 195
- Strategy and Management 137
Countries citing papers authored by Kam Ki Tang
This map shows the geographic impact of Kam Ki Tang'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 Kam Ki Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kam Ki Tang more than expected).
Fields of papers citing papers by Kam Ki Tang
This network shows the impact of papers produced by Kam Ki Tang. 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 Kam Ki Tang. The network helps show where Kam Ki Tang may publish in the future.
Co-authorship network of co-authors of Kam Ki Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Kam Ki Tang. A scholar is included among the top collaborators of Kam Ki Tang 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 Kam Ki Tang. Kam Ki Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 4 | |
| 6 | 92 | |
| 7 | 10 | |
| 8 | 11 | |
| 9 | 27 | |
| 10 | 15 | |
| 11 | 13 | |
| 12 | 34 | |
| 13 | Non-Hierarchical Bivariate Decomposition of Theil Indexes | 6 |
| 14 | 12 | |
| 15 | 13 | |
| 16 | 4 | |
| 17 | The hierarchical structure of a firm: a geometric approach | 3 |
| 18 | Constructing a measure of industry-specific human capital using Tobin's Q theory | 2 |
| 19 | COMPARING INCOME DISTRIBUTIONS BETWEEN ECONOMIES THAT REWARD INNOVATION AND THOSE THAT REWARD KNOWLEDGE | 2 |
| 20 | 21 |
About Kam Ki Tang
Kam Ki Tang is a scholar working on General Economics, Econometrics and Finance, Development and Finance, having authored 72 papers that have together received 1.0k indexed citations. Recurring topics across this work include Global Health Care Issues (18 papers), Global trade and economics (16 papers) and Economic Growth and Productivity (12 papers). The work is most often cited by research in General Economics, Econometrics and Finance (198 citations), Economics and Econometrics (423 citations) and Health (129 citations). Kam Ki Tang has collaborated with scholars based in Australia, China and Canada. Frequent co-authors include D. S. Prasada Rao, Nicholas Rohde, Do Won Kwak, Lili Wang, Yong Zhao, Lars Osberg, James Laurenceson, Duangkamon Chotikapanich, Dennis Petrie and Sriram Shankar. Their work appears in journals such as Social Science & Medicine, Energy Policy and World Development.
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.