Nicolas Langrené
- Finance top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Management Science and Operations Research top 10%
- Economics and Econometrics
- Co-authors
- Huyên PhamShengxin ZhuZhaofeng ZhangXavier WarinIdris KharroubiCôme HuréRené AïdLuciano Campi
- Topics
- Stochastic processes and financial applications (12 papers)Capital Investment and Risk Analysis (5 papers)Risk and Portfolio Optimization (4 papers)
In The Last Decade
Nicolas Langrené
29 papers receiving 449 citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Finance 148
- Artificial Intelligence 99
- Electrical and Electronic Engineering 78
- Management Science and Operations Research 71
- Economics and Econometrics 54
Countries citing papers authored by Nicolas Langrené
This map shows the geographic impact of Nicolas Langrené'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 Nicolas Langrené with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Langrené more than expected).
Fields of papers citing papers by Nicolas Langrené
This network shows the impact of papers produced by Nicolas Langrené. 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 Nicolas Langrené. The network helps show where Nicolas Langrené may publish in the future.
Co-authorship network of co-authors of Nicolas Langrené
This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Langrené. A scholar is included among the top collaborators of Nicolas Langrené 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 Nicolas Langrené. Nicolas Langrené is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Unleashing the potential of prompt engineering for large language modelsbreakdown → | 43 |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 72 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 37 | |
| 9 | 29 | |
| 10 | 11 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | Sharp Target Range Strategy for Multiperiod Portfolio Choice by Decensored Least Squares Monte Carlo | 2 |
| 14 | 2 | |
| 15 | 6 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | 23 | |
| 19 | 42 | |
| 20 | 36 |
About Nicolas Langrené
Nicolas Langrené is a scholar working on Finance, Management Science and Operations Research and Economics and Econometrics, having authored 29 papers that have together received 462 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (12 papers), Capital Investment and Risk Analysis (5 papers) and Risk and Portfolio Optimization (4 papers). The work is most often cited by research in Finance (148 citations), Health Informatics (16 citations) and Management Science and Operations Research (71 citations). Nicolas Langrené has collaborated with scholars based in Australia, France and China. Frequent co-authors include Huyên Pham, Shengxin Zhu, Zhaofeng Zhang, Xavier Warin, Idris Kharroubi, Côme Huré, René Aïd, Luciano Campi, Wim van Ackooij and Chen Wen. Their work appears in journals such as IEEE Transactions on Power Systems, SIAM Journal on Numerical Analysis and Journal of Statistical Software.
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.