Jin Ma
Impact in
- Finance top 1%
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
- Financial Markets and Investment Strategies
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
Papers in
- Finance 31
- Stochastic processes and financial applications 31
- Financial Risk and Volatility Modeling 6
- Financial Markets and Investment Strategies 3
- Demography 14
- Insurance, Mortality, Demography, Risk Management 14
- Co-authors
- Jakša CvitanićRainer BuckdahnJianfeng ZhangJiongmin YongJaime San Martı́nPhilip ProtterJuan LiFabio Antonelli
- Journals
- The Annals of Applied Probability (9 papers)Stochastic Processes and their Applications (4 papers)SIAM Journal on Control and Optimization (3 papers)Probability Theory and Related Fields (2 papers)Scandinavian Actuarial Journal (2 papers)
- Partner nations
- United StatesFranceChina
In The Last Decade
Jin Ma
31 papers receiving 632 citations
Peers
Comparison fields: 5 of 41
- Finance 669
- Modeling and Simulation 91
- Demography 194
- Management Science and Operations Research 161
- Numerical Analysis 46
Countries citing papers authored by Jin Ma
This map shows the geographic impact of Jin Ma'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 Jin Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Ma more than expected).
Fields of papers citing papers by Jin Ma
This network shows the impact of papers produced by Jin Ma. 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 Jin Ma. The network helps show where Jin Ma may publish in the future.
Co-authorship network
The 21 scholars most cited alongside Jin Ma, 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 | 2021 | 1 | |
| 2 | 2018 | 10 | |
| 3 | 2017 | 32 | |
| 4 | 2017 | 2 | |
| 5 | 2012 | 20 | |
| 6 | 2010 | 6 | |
| 7 | 2010 | 6 | |
| 8 | Impulse Control and Optimal Portfolio Selection with General Transaction Cost | 2009 | 2 |
| 9 | 2008 | 3 | |
| 10 | 2008 | 14 | |
| 11 | 2007 | 23 | |
| 12 | 2006 | 5 | |
| 13 | 2004 | 10 | |
| 14 | 2003 | 9 | |
| 15 | 2003 | 9 | |
| 16 | 2003 | 28 | |
| 17 | 2002 | 84 | |
| 18 | 2001 | 40 | |
| 19 | 1994 | 2 | |
| 20 | Solvability of forward-backward SDEs and the nodal set of Hamilton-Jacobi-Bellman Equations | 1993 | 21 |
About Jin Ma
Jin Ma is a scholar working on Finance, Demography, Management Science and Operations Research, Modeling and Simulation and General Decision Sciences, having authored 33 papers that have together received 726 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (31 papers), Insurance, Mortality, Demography, Risk Management (14 papers), Risk and Portfolio Optimization (9 papers), Financial Risk and Volatility Modeling (6 papers), Economic theories and models (6 papers), Mathematical Biology Tumor Growth (4 papers), Probability and Risk Models (4 papers) and Financial Markets and Investment Strategies (3 papers). The work is most often cited by research in Finance (669 citations), Modeling and Simulation (91 citations), Demography (194 citations), Management Science and Operations Research (161 citations) and Numerical Analysis (46 citations). Jin Ma has collaborated with scholars based in United States, France and China. Frequent co-authors include Jakša Cvitanić, Rainer Buckdahn, Jianfeng Zhang, Jiongmin Yong, Jaime San Martı́n, Philip Protter, Juan Li, Fabio Antonelli, Darrell Duffie and Ying Hu. Their work appears in journals such as The Annals of Applied Probability, Stochastic Processes and their Applications, SIAM Journal on Control and Optimization, Probability Theory and Related Fields and Scandinavian Actuarial Journal.
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.