Alexei Onatski
- Economics and Econometrics top 1%
- General Economics, Econometrics and Finance top 1%
- Finance top 2%
- Statistics and Probability top 1%
- Artificial Intelligence top 10%
- Co-authors
- James H. StockNoah WilliamsVladislav KarginAndrew LevinJohn C. WilliamsMarc HallinMarcelo J. MoreiraMichael Kremer
- Topics
- Monetary Policy and Economic Impact (18 papers)Random Matrices and Applications (8 papers)Complex Systems and Time Series Analysis (6 papers)
- Partner nations
- United StatesUnited KingdomHong Kong
In The Last Decade
Alexei Onatski
32 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 81
- Economics and Econometrics 954
- General Economics, Econometrics and Finance 772
- Finance 486
- Statistics and Probability 475
- Artificial Intelligence 134
Countries citing papers authored by Alexei Onatski
This map shows the geographic impact of Alexei Onatski'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 Alexei Onatski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexei Onatski more than expected).
Fields of papers citing papers by Alexei Onatski
This network shows the impact of papers produced by Alexei Onatski. 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 Alexei Onatski. The network helps show where Alexei Onatski may publish in the future.
Co-authorship network of co-authors of Alexei Onatski
This figure shows the co-authorship network connecting the top 25 collaborators of Alexei Onatski. A scholar is included among the top collaborators of Alexei Onatski 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 Alexei Onatski. Alexei Onatski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 14 | |
| 5 | 22 | |
| 6 | 22 | |
| 7 | 182 | |
| 8 | Appendix to the paper “Determining the Number of Factors from Empirical Distribution of Eigenvalues” | 7 |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 13 | |
| 12 | 269 | |
| 13 | 89 | |
| 14 | Curve Forecasting by Functional Autoregression | 4 |
| 15 | 2 | |
| 16 | 67 | |
| 17 | 10 | |
| 18 | 135 | |
| 19 | 12 | |
| 20 | 76 |
About Alexei Onatski
Alexei Onatski is a scholar working on General Economics, Econometrics and Finance, Statistics and Probability and Finance, having authored 33 papers that have together received 1.6k indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (18 papers), Random Matrices and Applications (8 papers) and Complex Systems and Time Series Analysis (6 papers). The work is most often cited by research in General Economics, Econometrics and Finance (772 citations), Statistics and Probability (475 citations) and Finance (486 citations). Alexei Onatski has collaborated with scholars based in United States, United Kingdom and Hong Kong. Frequent co-authors include James H. Stock, Noah Williams, Vladislav Kargin, Andrew Levin, John C. Williams, Marc Hallin, Marcelo J. Moreira, Michael Kremer, Francisco J. Ruge‐Murcia and Marc Henry. Their work appears in journals such as Econometrica, The Review of Economics and Statistics and Journal of Econometrics.
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.