Kin Lam
Impact in
- Finance top 2%
- Financial Markets and Investment Strategies
- Financial Risk and Volatility Modeling
- Accounting top 5%
- Corporate Finance and Governance
- Auditing, Earnings Management, Governance
Papers in
- Finance 21
- Financial Markets and Investment Strategies 19
- Financial Risk and Volatility Modeling 7
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- Complex Systems and Time Series Analysis 8
- Co-authors
- Wing‐Keung Wong (8 shared papers)Henry M.K. Mok (2 shared papers)Ming‐Ying Leung (2 shared papers)Man‐Keung Siu (2 shared papers)Lara Dhingra (11 shared papers)Russell K. Portenoy (11 shared papers)Jack Chen (9 shared papers)Frank J. Fabozzi (1 shared paper)
- Journals
- Journal of Clinical Oncology (3 papers)Journal of Empirical Finance (2 papers)Journal of Immigrant and Minority Health (2 papers)European Journal of Operational Research (2 papers)Journal of Applied Probability (2 papers)
- Partner nations
- Hong KongUnited StatesUnited Kingdom
In The Last Decade
Kin Lam
36 papers receiving 542 citations
Peers
Comparison fields: 5 of 77
- Finance 276
- Accounting 168
- Management Science and Operations Research 102
- Economics and Econometrics 215
- General Decision Sciences 14
Countries citing papers authored by Kin Lam
This map shows the geographic impact of Kin 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 Kin Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kin Lam more than expected).
Fields of papers citing papers by Kin Lam
This network shows the impact of papers produced by Kin 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 Kin Lam. The network helps show where Kin Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Kin Lam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 73 | |
| 2 | 2009 | 69 | |
| 3 | 2000 | 49 | |
| 4 | 1994 | 35 | |
| 5 | 2012 | 34 | |
| 6 | 2010 | 31 | |
| 7 | 2013 | 26 | |
| 8 | 2011 | 25 | |
| 9 | 1984 | 22 | |
| 10 | 1997 | 22 | |
| 11 | 2020 | 19 | |
| 12 | 2004 | 19 | |
| 13 | 1998 | 18 | |
| 14 | 2000 | 13 | |
| 15 | 2015 | 11 | |
| 16 | 2006 | 10 | |
| 17 | 2003 | 10 | |
| 18 | 2016 | 10 | |
| 19 | 1984 | 9 | |
| 20 | 2011 | 9 |
About Kin Lam
Kin Lam is a scholar working on Finance, Economics and Econometrics, Oncology, Management Science and Operations Research and Accounting, having authored 39 papers that have together received 573 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (19 papers), Complex Systems and Time Series Analysis (8 papers), Financial Risk and Volatility Modeling (7 papers), Cancer survivorship and care (7 papers), Stock Market Forecasting Methods (6 papers), Pain Management and Opioid Use (4 papers), Corporate Finance and Governance (4 papers) and Palliative Care and End-of-Life Issues (4 papers). The work is most often cited by research in Finance (276 citations), Accounting (168 citations), Management Science and Operations Research (102 citations), Economics and Econometrics (215 citations) and General Decision Sciences (14 citations). Kin Lam has collaborated with scholars based in Hong Kong, United States and United Kingdom. Frequent co-authors include Wing‐Keung Wong, Henry M.K. Mok, Ming‐Ying Leung, Man‐Keung Siu, Lara Dhingra, Russell K. Portenoy, Jack Chen, Frank J. Fabozzi, Victor T. Chang and Joseph K. W. Fung. Their work appears in journals such as Journal of Clinical Oncology, Journal of Empirical Finance, Journal of Immigrant and Minority Health, European Journal of Operational Research and Journal of Applied Probability.
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.