Keith 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 27
- Financial Markets and Investment Strategies 21
- Financial Risk and Volatility Modeling 6
- Stochastic processes and financial applications 5
- Accounting 18
- Corporate Finance and Governance 14
- Auditing, Earnings Management, Governance 7
- Co-authors
- Lewis Tam (3 shared papers)Yu‐En Lin (4 shared papers)Yiwen Li (1 shared paper)Zhuo Qiao (4 shared papers)Mike K. P. So (1 shared paper)Bo Yu (2 shared papers)Bo Yu (3 shared papers)Xiaotong Jiang (1 shared paper)
In The Last Decade
Keith Lam
29 papers receiving 449 citations
Peers
Comparison fields: 5 of 38
- Finance 329
- Accounting 232
- Strategy and Management 131
- Economics and Econometrics 222
- Management Science and Operations Research 66
Countries citing papers authored by Keith Lam
This map shows the geographic impact of Keith 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 Keith Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Lam more than expected).
Fields of papers citing papers by Keith Lam
This network shows the impact of papers produced by Keith 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 Keith Lam. The network helps show where Keith Lam may publish in the future.
Co-authors
The 11 scholars most cited alongside Keith 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 121 | |
| 2 | 2011 | 100 | |
| 3 | 2002 | 54 | |
| 4 | 2014 | 33 | |
| 5 | 2001 | 26 | |
| 6 | 1997 | 25 | |
| 7 | 2009 | 18 | |
| 8 | 2009 | 13 | |
| 9 | 2025 | 12 | |
| 10 | 2012 | 11 | |
| 11 | Liquidity and Asset Pricing: Evidence from the Hong Kong Stock Market | 2011 | 8 |
| 12 | 2019 | 7 | |
| 13 | 2011 | 7 | |
| 14 | 2021 | 5 | |
| 15 | 2007 | 5 | |
| 16 | 1999 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2025 | 3 | |
| 20 | 2008 | 3 |
About Keith Lam
Keith Lam is a scholar working on Finance, Accounting, Economics and Econometrics, Management Science and Operations Research and Strategy and Management, having authored 29 papers that have together received 477 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (21 papers), Corporate Finance and Governance (14 papers), Market Dynamics and Volatility (8 papers), Auditing, Earnings Management, Governance (7 papers), Stock Market Forecasting Methods (7 papers), Financial Risk and Volatility Modeling (6 papers), Stochastic processes and financial applications (5 papers) and Financial Reporting and Valuation Research (3 papers). The work is most often cited by research in Finance (329 citations), Accounting (232 citations), Strategy and Management (131 citations), Economics and Econometrics (222 citations) and Management Science and Operations Research (66 citations). Keith Lam has collaborated with scholars based in Macao, China and Hong Kong. Frequent co-authors include Lewis Tam, Yu‐En Lin, Yiwen Li, Zhuo Qiao, Mike K. P. So, Bo Yu, Bo Yu, Xiaotong Jiang, Bo Yu and Yi Dong. Their work appears in journals such as Pacific-Basin Finance Journal, Research in International Business and Finance, Review of Quantitative Finance and Accounting, International Review of Financial Analysis and Journal of Empirical Finance.
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.