Mathias Lé
Impact in
- General Decision Sciences top 10%
- Decision-Making and Behavioral Economics
- Finance top 5%
- Banking stability, regulation, efficiency
- Financial Markets and Investment Strategies
Papers in
-
- Corporate Finance and Governance 3
- Finance 2
- Banking stability, regulation, efficiency 2
- Global Financial Crisis and Policies 1
- finance, banking, and market dynamics 1
- Co-authors
- Yanos Zylberberg (1 shared paper)Marc Sangnier (1 shared paper)Abel Brodeur (1 shared paper)Henri Fraisse (2 shared papers)David Thesmar (1 shared paper)Johan Hombert (1 shared paper)Benjamin Bureau (1 shared paper)
- Journals
- Management Science (1 paper)The Review of Corporate Finance Studies (1 paper)Journal of Banking & Finance (1 paper)American Economic Journal Applied Economics (1 paper)Economie et Statistique / Economics and Statistics (1 paper)
- Partner nations
- FranceSwitzerlandUnited Kingdom
In The Last Decade
Mathias Lé
4 papers receiving 325 citations
Peers
Comparison fields: 5 of 66
- General Decision Sciences 31
- Finance 109
- Statistics, Probability and Uncertainty 61
- Accounting 88
- Statistics and Probability 59
Countries citing papers authored by Mathias Lé
This map shows the geographic impact of Mathias Lé'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 Mathias Lé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias Lé more than expected).
Fields of papers citing papers by Mathias Lé
This network shows the impact of papers produced by Mathias Lé. 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 Mathias Lé. The network helps show where Mathias Lé may publish in the future.
Co-authors
The 7 scholars most cited alongside Mathias Lé, 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 | 2015 | 246 | |
| 2 | 2019 | 80 | |
| 3 | 2018 | 22 | |
| 4 | 2022 | 6 | |
| 5 | 2022 | 0 |
About Mathias Lé
Mathias Lé is a scholar working on Accounting, Finance, Statistics, Probability and Uncertainty, Economics and Econometrics and Artificial Intelligence, having authored 5 papers that have together received 354 indexed citations. Recurring topics across this work include Corporate Finance and Governance (3 papers), Banking stability, regulation, efficiency (2 papers), COVID-19 Pandemic Impacts (1 paper), Global Financial Crisis and Policies (1 paper), Firm Innovation and Growth (1 paper), finance, banking, and market dynamics (1 paper), Meta-analysis and systematic reviews (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). The work is most often cited by research in General Decision Sciences (31 citations), Finance (109 citations), Statistics, Probability and Uncertainty (61 citations), Accounting (88 citations) and Statistics and Probability (59 citations). Mathias Lé has collaborated with scholars based in France, Switzerland and United Kingdom. Frequent co-authors include Yanos Zylberberg, Marc Sangnier, Abel Brodeur, Henri Fraisse, David Thesmar, Johan Hombert and Benjamin Bureau. Their work appears in journals such as Management Science, The Review of Corporate Finance Studies, Journal of Banking & Finance, American Economic Journal Applied Economics and Economie et Statistique / Economics and Statistics.
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.