K. S. Lim
Impact in
- Finance top 2%
- Financial Risk and Volatility Modeling
-
- Monetary Policy and Economic Impact
Papers in
-
- Mathematical Dynamics and Fractals 1
- Spectral Theory in Mathematical Physics 1
-
- Quantum chaos and dynamical systems 1
- Journals
- Journal of Time Series Analysis (3 papers)Journal of the Royal Statistical Society Series B (Statistical Methodology) (1 paper)AIAA Journal (1 paper)Communications in Statistics - Simulation and Computation (1 paper)London School of Economics and Political Science Research Online (London School of Economics and Political Science) (1 paper)
- Partner nations
- SingaporeUnited KingdomBelarus
In The Last Decade
K. S. Lim
6 papers receiving 995 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Finance 426
- General Economics, Econometrics and Finance 272
- Statistics and Probability 227
- Economics and Econometrics 500
- Management Science and Operations Research 156
Countries citing papers authored by K. S. Lim
This map shows the geographic impact of K. S. Lim'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 K. S. Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. S. Lim more than expected).
Fields of papers citing papers by K. S. Lim
This network shows the impact of papers produced by K. S. Lim. 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 K. S. Lim. The network helps show where K. S. Lim may publish in the future.
Co-authors
The 3 scholars most cited alongside K. S. Lim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Threshold Autoregression, Limit Cycles and Cyclical Data Hit paper breakdown → | 1980 | 897 |
| 2 | Threshold autoregression, limit cycles and cyclical data- with discussion | 1980 | 161 |
| 3 | 2008 | 23 | |
| 4 | 1987 | 17 | |
| 5 | 1983 | 5 | |
| 6 | 1992 | 5 | |
| 7 | 1995 | 0 |
About K. S. Lim
K. S. Lim is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics, Ecology, Economics and Econometrics and Nature and Landscape Conservation, having authored 7 papers that have together received 1.1k indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (2 papers), Animal Ecology and Behavior Studies (2 papers), Mathematical Dynamics and Fractals (1 paper), Yersinia bacterium, plague, ectoparasites research (1 paper), Tree-ring climate responses (1 paper), Quantum chaos and dynamical systems (1 paper), Spectral Theory in Mathematical Physics (1 paper) and Aerodynamics and Acoustics in Jet Flows (1 paper). The work is most often cited by research in Finance (426 citations), General Economics, Econometrics and Finance (272 citations), Statistics and Probability (227 citations), Economics and Econometrics (500 citations) and Management Science and Operations Research (156 citations). K. S. Lim has collaborated with scholars based in Singapore, United Kingdom and Belarus. Frequent co-authors include H. Tong, Howell Tong and S. C. M. Yu. Their work appears in journals such as Journal of Time Series Analysis, Journal of the Royal Statistical Society Series B (Statistical Methodology), AIAA Journal, Communications in Statistics - Simulation and Computation and London School of Economics and Political Science Research Online (London School of Economics and Political Science).
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.