Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Inference on Treatment Effects after Selection among High-Dimensional Controls
2013815 citationsAlexandre Belloni, Victor Chernozhukov et al.profile →
High-Dimensional Methods and Inference on Structural and Treatment Effects
2014388 citationsAlexandre Belloni, Victor Chernozhukov et al.profile →
Least squares after model selection in high-dimensional sparse models
2013339 citationsAlexandre Belloni, Victor Chernozhukovprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Alexandre Belloni
Since
Specialization
Citations
This map shows the geographic impact of Alexandre Belloni'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 Alexandre Belloni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandre Belloni more than expected).
Fields of papers citing papers by Alexandre Belloni
This network shows the impact of papers produced by Alexandre Belloni. 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 Alexandre Belloni. The network helps show where Alexandre Belloni may publish in the future.
Co-authorship network of co-authors of Alexandre Belloni
This figure shows the co-authorship network connecting the top 25 collaborators of Alexandre Belloni.
A scholar is included among the top collaborators of Alexandre Belloni 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 Alexandre Belloni. Alexandre Belloni is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Belloni, Alexandre, Victor Chernozhukov, Denis Chetverikov, & Ying Wei. (2018). Uniformly valid post-regularization confidence regions for many functional parameters in z-estimation framework. DSpace@MIT (Massachusetts Institute of Technology).1 indexed citations
Belloni, Alexandre, Victor Chernozhukov, Iván Fernández‐Val, & Christian Hansen. (2017). Supplement to “program evaluation and causal inference with high-dimensional data". OpenBU/Boston University Institutional Repository (Boston University).1 indexed citations
Belloni, Alexandre, Tengyuan Liang, Hariharan Narayanan, & Alexander Rakhlin. (2015). Escaping the Local Minima via Simulated Annealing: Optimization of Approximately Convex Functions. Conference on Learning Theory. 240–265.16 indexed citations
Belloni, Alexandre, Victor Chernozhukov, & Ying Wei. (2013). Honest Confidence Regions for Logistic Regression with a Large Number of Controls. arXiv (Cornell University).6 indexed citations
13.
Belloni, Alexandre, Victor Chernozhukov, & Kengo Kato. (2013). Uniform Post Selection Inference for LAD Regression Models. arXiv (Cornell University).1 indexed citations
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.