Christophe Hurlin
About
In The Last Decade
Christophe Hurlin
69 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Economics and Econometrics 4.5k
- Renewable Energy, Sustainability and the Environment 1.6k
- General Economics, Econometrics and Finance 952
- Finance 914
- Pollution 782
Countries citing papers authored by Christophe Hurlin
This map shows the geographic impact of Christophe Hurlin'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 Christophe Hurlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christophe Hurlin more than expected).
Fields of papers citing papers by Christophe Hurlin
This network shows the impact of papers produced by Christophe Hurlin. 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 Christophe Hurlin. The network helps show where Christophe Hurlin may publish in the future.
Co-authorship network of co-authors of Christophe Hurlin
This figure shows the co-authorship network connecting the top 25 collaborators of Christophe Hurlin. A scholar is included among the top collaborators of Christophe Hurlin 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 Christophe Hurlin. Christophe Hurlin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects breakdown → | 228 |
| 3 | 30 | |
| 4 | 4 | |
| 5 | Backtesting Marginal Expected Shortfall and Related Systemic Risk Measures | 1 |
| 6 | 1 | |
| 7 | 51 | |
| 8 | High-Frequency Risk Measures | 0 |
| 9 | 10 | |
| 10 | 4 | |
| 11 | Testing for Granger non-causality in heterogeneous panels breakdown → | 4076 |
| 12 | How to Evaluate an Early Warning System? Towards a Unified Statistical Framework for Assessing Financial Crises Forecasting Methods | 5 |
| 13 | Clearing house, margin requirements, and systemic risk | 5 |
| 14 | Are Public Investment Efficient in Creating Capital Stocks in Developing Countries | 12 |
| 15 | Un MEDAF à plusieurs moments réalisés | 1 |
| 16 | Panel-Data Co-integration Tests: A Survey | 1 |
| 17 | Economic Development and Energy Intensity: A Panel Data Analysis | 1 |
| 18 | The Feldstein-Horioka Puzzle: a Panel Smooth<br />Transition Regression Approach | 230 |
| 19 | 22 | |
| 20 | How to estimate the productivity of public capital | 1 |
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.