Andriy Norets

18 papers and 437 indexed citations i.

About

Andriy Norets is a scholar working on Economics and Econometrics, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Andriy Norets has authored 18 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Economics and Econometrics, 8 papers in Artificial Intelligence and 8 papers in Statistics and Probability. Recurrent topics in Andriy Norets’s work include Bayesian Methods and Mixture Models (8 papers), Statistical Methods and Bayesian Inference (8 papers) and Statistical Methods and Inference (8 papers). Andriy Norets is often cited by papers focused on Bayesian Methods and Mixture Models (8 papers), Statistical Methods and Bayesian Inference (8 papers) and Statistical Methods and Inference (8 papers). Andriy Norets collaborates with scholars based in United States, Austria and Singapore. Andriy Norets's co-authors include Xun Tang, Satoru Takahashi, Wesley R. Hartmann, Debdeep Pati, Ulrich K. Müller, Andrew T. Ching, Susumu Imai, Peter E. Rossi, Neelam Jain and John Rust and has published in prestigious journals such as Journal of the American Statistical Association, Econometrica and The Review of Economic Studies.

In The Last Decade

Co-authorship network of co-authors of Andriy Norets i

Fields of papers citing papers by Andriy Norets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Andriy Norets

Since Specialization
Citations

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