Thomas Lim
Impact in
- Developmental Neuroscience top 10%
- Finance top 10%
- Stochastic processes and financial applications
Papers in
- Finance 8
- Stochastic processes and financial applications 8
-
- Economic theories and models 3
- Market Dynamics and Volatility 3
- Insurance and Financial Risk Management 2
- Co-authors
- Roger J. Keynes (3 shared papers)Claudio D. Stern (3 shared papers)Idris Kharroubi (8 shared papers)Frank Alexis (1 shared paper)Su Zeng (1 shared paper)Jeak Ling Ding (1 shared paper)Yi Yan Yang (1 shared paper)Guping Tang (1 shared paper)
- Journals
- Development (3 papers)The Journal of Gene Medicine (2 papers)Applied Mathematical Finance (1 paper)Neuroscience (1 paper)Brain Research (1 paper)
- Partner nations
- FranceSingaporeUnited Kingdom
In The Last Decade
Thomas Lim
26 papers receiving 577 citations
Peers
Comparison fields: 5 of 99
- Developmental Neuroscience 38
- Finance 78
- Molecular Biology 322
- Biomaterials 56
- Cellular and Molecular Neuroscience 69
Countries citing papers authored by Thomas Lim
This map shows the geographic impact of Thomas 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 Thomas Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Lim more than expected).
Fields of papers citing papers by Thomas Lim
This network shows the impact of papers produced by Thomas 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 Thomas Lim. The network helps show where Thomas Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas 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
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 148 | |
| 2 | 1991 | 63 | |
| 3 | 1991 | 55 | |
| 4 | 1987 | 50 | |
| 5 | 2006 | 46 | |
| 6 | 2005 | 42 | |
| 7 | 2000 | 32 | |
| 8 | 2013 | 27 | |
| 9 | 2012 | 24 | |
| 10 | 2011 | 24 | |
| 11 | 1998 | 19 | |
| 12 | 2005 | 17 | |
| 13 | 1995 | 11 | |
| 14 | 1998 | 6 | |
| 15 | 2019 | 4 | |
| 16 | 1996 | 4 | |
| 17 | 2019 | 4 | |
| 18 | 1996 | 4 | |
| 19 | 2017 | 3 | |
| 20 | 2015 | 3 |
About Thomas Lim
Thomas Lim is a scholar working on Finance, Economics and Econometrics, Molecular Biology, Management Science and Operations Research and Demography, having authored 26 papers that have together received 599 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (8 papers), Risk and Portfolio Optimization (4 papers), Economic theories and models (3 papers), Insurance, Mortality, Demography, Risk Management (3 papers), Congenital heart defects research (3 papers), Market Dynamics and Volatility (3 papers), Insurance and Financial Risk Management (2 papers) and Plant Virus Research Studies (2 papers). The work is most often cited by research in Developmental Neuroscience (38 citations), Finance (78 citations), Molecular Biology (322 citations), Biomaterials (56 citations) and Cellular and Molecular Neuroscience (69 citations). Thomas Lim has collaborated with scholars based in France, Singapore and United Kingdom. Frequent co-authors include Roger J. Keynes, Claudio D. Stern, Idris Kharroubi, Frank Alexis, Su Zeng, Jeak Ling Ding, Yi Yan Yang, Guping Tang, Shengjia Wang and E. R. Lunn. Their work appears in journals such as Development, The Journal of Gene Medicine, Applied Mathematical Finance, Neuroscience and Brain Research.
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.