Dmitry Arkhangelsky

7 papers and 434 indexed citations i.

About

Dmitry Arkhangelsky is a scholar working on Statistics and Probability, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, Dmitry Arkhangelsky has authored 7 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistics and Probability, 3 papers in Economics and Econometrics and 1 paper in Artificial Intelligence. Recurrent topics in Dmitry Arkhangelsky’s work include Advanced Causal Inference Techniques (6 papers), Statistical Methods and Inference (5 papers) and Statistical Methods and Bayesian Inference (2 papers). Dmitry Arkhangelsky is often cited by papers focused on Advanced Causal Inference Techniques (6 papers), Statistical Methods and Inference (5 papers) and Statistical Methods and Bayesian Inference (2 papers). Dmitry Arkhangelsky collaborates with scholars based in Spain, United States and Czechia. Dmitry Arkhangelsky's co-authors include Guido W. Imbens, Susan Athey, Stefan Wager, David A. Hirshberg, Lihua Lei and Xiaoman Luo and has published in prestigious journals such as American Economic Review, The Review of Economic Studies and Econometrics Journal.

In The Last Decade

Co-authorship network of co-authors of Dmitry Arkhangelsky i

Fields of papers citing papers by Dmitry Arkhangelsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dmitry Arkhangelsky

Since Specialization
Citations

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

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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2025