Christophe Muller
- Economics and Econometrics top 5%
- Sociology and Political Science
- General Health Professions
- Finance top 10%
- General Economics, Econometrics and Finance top 10%
- Co-authors
- Tae‐Hwan KimGuy LacroixDenis BolducAlain TrannoyMarc FleurbaeyStéphane LuchiniErik SchokkaertChristophe Jalil Nordman
- Topics
- Income, Poverty, and Inequality (12 papers)Fiscal Policy and Economic Growth (7 papers)Statistical Methods and Inference (6 papers)
- Partner nations
- SpainFranceUnited Kingdom
In The Last Decade
Christophe Muller
24 papers receiving 348 citations
Peers
Comparison fields: 5 of 65
- Economics and Econometrics 258
- Sociology and Political Science 103
- General Health Professions 89
- Finance 57
- General Economics, Econometrics and Finance 52
Countries citing papers authored by Christophe Muller
This map shows the geographic impact of Christophe Muller'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 Muller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christophe Muller more than expected).
Fields of papers citing papers by Christophe Muller
This network shows the impact of papers produced by Christophe Muller. 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 Muller. The network helps show where Christophe Muller may publish in the future.
Co-authorship network of co-authors of Christophe Muller
This figure shows the co-authorship network connecting the top 25 collaborators of Christophe Muller. A scholar is included among the top collaborators of Christophe Muller 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 Muller. Christophe Muller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 47 | |
| 3 | A test of endogeneity in quantiles | 1 |
| 4 | Bias Transmission and Variance Reduction in Two-Stage Estimation | 5 |
| 5 | Focused Targeting against Poverty Evidence from Tunisia | 3 |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | HUMAN CAPITAL AND WAGES IN TWO LEADING INDUSTRIES OF TUNISIA: EVIDENCE FROM MATCHED WORKER-FIRM DATA | 3 |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 95 | |
| 14 | 1 | |
| 15 | 20 | |
| 16 | 16 | |
| 17 | 36 | |
| 18 | The Properties of the Watts Poverty Index under Lognormality | 22 |
| 19 | THE WATTS' POVERTY INDEX WITH EXPLICIT PRICE VARIABILITY | 20 |
| 20 | 77 |
About Christophe Muller
Christophe Muller is a scholar working on Statistics and Probability, Economics and Econometrics and General Decision Sciences, having authored 26 papers that have together received 411 indexed citations. Recurring topics across this work include Income, Poverty, and Inequality (12 papers), Fiscal Policy and Economic Growth (7 papers) and Statistical Methods and Inference (6 papers). The work is most often cited by research in Development (42 citations), Economics and Econometrics (258 citations) and General Decision Sciences (12 citations). Christophe Muller has collaborated with scholars based in Spain, France and United Kingdom. Frequent co-authors include Tae‐Hwan Kim, Guy Lacroix, Denis Bolduc, Alain Trannoy, Marc Fleurbaey, Stéphane Luchini, Erik Schokkaert, Christophe Jalil Nordman, Tae‐Hwan Kim and Sami Bibi. Their work appears in journals such as Journal of Development Economics, Journal of Public Economics and Journal of Economic Theory.
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.