Samuel N. Cohen
- Finance top 2%
- Management Science and Operations Research top 5%
- Economics and Econometrics top 10%
- Demography top 5%
- Mathematical Physics
- Co-authors
- Robert J. ElliottŁukasz SzpruchC. E. M. PearceYing HuTak Kuen SiuGisela LanzaNicole StrickerBenjamin Haefner
- Topics
- Stochastic processes and financial applications (21 papers)Insurance, Mortality, Demography, Risk Management (9 papers)Risk and Portfolio Optimization (8 papers)
- Partner nations
- United KingdomSlovakiaAustralia
In The Last Decade
Samuel N. Cohen
36 papers receiving 387 citations
Peers
Comparison fields: 5 of 69
- Finance 308
- Management Science and Operations Research 143
- Economics and Econometrics 105
- Demography 100
- Mathematical Physics 34
Countries citing papers authored by Samuel N. Cohen
This map shows the geographic impact of Samuel N. Cohen'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 Samuel N. Cohen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel N. Cohen more than expected).
Fields of papers citing papers by Samuel N. Cohen
This network shows the impact of papers produced by Samuel N. Cohen. 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 Samuel N. Cohen. The network helps show where Samuel N. Cohen may publish in the future.
Co-authorship network of co-authors of Samuel N. Cohen
This figure shows the co-authorship network connecting the top 25 collaborators of Samuel N. Cohen. A scholar is included among the top collaborators of Samuel N. Cohen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Samuel N. Cohen. Samuel N. Cohen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | Arbitrage-free neural-SDE market models | 6 |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | Gittins' theorem under uncertainty | 1 |
| 10 | 0 | |
| 11 | Healing Products of Gaussian Process Experts | 3 |
| 12 | 20 | |
| 13 | Nash equilibria for non zero-sum ergodic stochastic differential games | 3 |
| 14 | 117 | |
| 15 | 2 | |
| 16 | 16 | |
| 17 | 9 | |
| 18 | 21 | |
| 19 | 17 | |
| 20 | 59 |
About Samuel N. Cohen
Samuel N. Cohen is a scholar working on Finance, Management Science and Operations Research and General Decision Sciences, having authored 42 papers that have together received 416 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (21 papers), Insurance, Mortality, Demography, Risk Management (9 papers) and Risk and Portfolio Optimization (8 papers). The work is most often cited by research in Finance (308 citations), Management Science and Operations Research (143 citations) and Demography (100 citations). Samuel N. Cohen has collaborated with scholars based in United Kingdom, Slovakia and Australia. Frequent co-authors include Robert J. Elliott, Łukasz Szpruch, C. E. M. Pearce, Ying Hu, Tak Kuen Siu, Gisela Lanza, Nicole Stricker, Benjamin Haefner, Christoph Reisinger and Hailiang Yang. Their work appears in journals such as Scientific Reports, Economics Letters and SIAM Journal on Control and Optimization.
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.