Blaise Melly

28 papers receiving 1.2k citations

Peers

Blaise Melly
Comparison fields: 5 of 90
  • Economics and Econometrics 839
  • Statistics and Probability 264
  • Sociology and Political Science 263
  • General Health Professions 228
  • Gender Studies 165
Replace Markus Frölich with:
Markus Frölich Germany
Dean Hyslop New Zealand
Charles M. Beach Canada
Judith K. Hellerstein United States
Matí­as Busso United States
Thierry Magnac France
Jane Leber Herr United States
Roland Rathelot France
Salvador Navarro United States
Garry F. Barrett Australia
Blaise Melly relative to Markus Frölich Germany Markus Frölich's profile →
Citations per field
00.5×1.5×
Markus Frölich · 1×
Citations per year

Countries citing papers authored by Blaise Melly

Since Specialization
Citations

This map shows the geographic impact of Blaise Melly'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 Blaise Melly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Blaise Melly more than expected).

Fields of papers citing papers by Blaise Melly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Blaise Melly. 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 Blaise Melly. The network helps show where Blaise Melly may publish in the future.

Co-authorship network of co-authors of Blaise Melly

This figure shows the co-authorship network connecting the top 25 collaborators of Blaise Melly. A scholar is included among the top collaborators of Blaise Melly 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 Blaise Melly. Blaise Melly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 15
2 6
3
QRPROCESS: Stata module for quantile regression: fast algorithm, pointwise and uniform inference
3
4
Estimation, inference, and interpretation in the regression discontinuity design
2
5 18
6 19
7 41
8 139
9 12
10 5
11 84
12
Nonseparable Sample Selection Models
5
13 16
14 121
15
Quantile treatment effects in the regression discontinuity design
1
16 19
17
Sample Selection, Heteroscedasticity, and Quantile Regression
2
18
Rqdeco: a Stata module to decompose differences in distribution
9
19
Estimation of counterfactual distributions using quantile regression
153
20 167

About Blaise Melly

Blaise Melly is a scholar working on Statistics and Probability, Economics and Econometrics and General Economics, Econometrics and Finance, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (16 papers), Statistical Methods and Inference (15 papers) and Labor market dynamics and wage inequality (6 papers). The work is most often cited by research in Statistics and Probability (264 citations), Economics and Econometrics (839 citations) and Gender Studies (165 citations). Blaise Melly has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Markus Frölich, Iván Fernández‐Val, Victor Chernozhukov, Brigham Frandsen, Martin Huber, Michael Lechner, Patrick A. Puhani, Kaspar Wüthrich, José A. F. Machado and Bernd Fitzenberger. Their work appears in journals such as Journal of the American Statistical Association, Journal of Econometrics and Journal of Business and Economic 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.

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