José Blanchet
Impact in
-
- Probability and Risk Models
- Risk and Portfolio Optimization
- Statistics and Probability top 1%
Papers in
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- Probability and Risk Models 68
- Risk and Portfolio Optimization 19
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- Markov Chains and Monte Carlo Methods 29
- Co-authors
- Peter W. Glynn (29 shared papers)Guillermo Gallego (3 shared papers)Vineet Goyal (3 shared papers)Jingchen Liu (16 shared papers)Henry Lam (19 shared papers)Karthyek Murthy (7 shared papers)Yang Kang (3 shared papers)Robert J. Adler (2 shared papers)
- Journals
- Mathematics of Operations Research (9 papers)Journal of Applied Probability (9 papers)Advances in Applied Probability (8 papers)Stochastic Systems (8 papers)Operations Research (5 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
José Blanchet
139 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 105
- Management Science and Operations Research 828
- Statistics and Probability 373
- Finance 350
- Management Information Systems 276
- Mathematical Physics 169
Countries citing papers authored by José Blanchet
This map shows the geographic impact of José Blanchet'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 José Blanchet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José Blanchet more than expected).
Fields of papers citing papers by José Blanchet
This network shows the impact of papers produced by José Blanchet. 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 José Blanchet. The network helps show where José Blanchet may publish in the future.
Co-authors
The 25 scholars most cited alongside José Blanchet, 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 158 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 195 | |
| 2 | 2019 | 110 | |
| 3 | 2008 | 65 | |
| 4 | 2019 | 62 | |
| 5 | 2010 | 50 | |
| 6 | 2021 | 50 | |
| 7 | 2008 | 42 | |
| 8 | 2012 | 41 | |
| 9 | 2011 | 41 | |
| 10 | 2009 | 37 | |
| 11 | 2007 | 32 | |
| 12 | 2015 | 20 | |
| 13 | 2009 | 19 | |
| 14 | 2018 | 18 | |
| 15 | 2011 | 18 | |
| 16 | Learning in Generalized Linear Contextual Bandits with Stochastic Delays | 2019 | 17 |
| 17 | 2021 | 17 | |
| 18 | 2007 | 17 | |
| 19 | 2021 | 15 | |
| 20 | 2015 | 15 |
About José Blanchet
José Blanchet is a scholar working on Management Science and Operations Research, Statistics and Probability, Finance, Management Information Systems and Mathematical Physics, having authored 158 papers that have together received 1.5k indexed citations. Recurring topics across this work include Probability and Risk Models (68 papers), Advanced Queuing Theory Analysis (31 papers), Markov Chains and Monte Carlo Methods (29 papers), Stochastic processes and statistical mechanics (25 papers), Financial Risk and Volatility Modeling (24 papers), Insurance, Mortality, Demography, Risk Management (24 papers), Stochastic processes and financial applications (20 papers) and Risk and Portfolio Optimization (19 papers). The work is most often cited by research in Management Science and Operations Research (828 citations), Statistics and Probability (373 citations), Finance (350 citations), Management Information Systems (276 citations) and Mathematical Physics (169 citations). José Blanchet has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Peter W. Glynn, Guillermo Gallego, Vineet Goyal, Jingchen Liu, Henry Lam, Karthyek Murthy, Yang Kang, Robert J. Adler, Lin Chen and Xun Yu Zhou. Their work appears in journals such as Mathematics of Operations Research, Journal of Applied Probability, Advances in Applied Probability, Stochastic Systems and Operations 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.