Anna Mikusheva
- General Economics, Econometrics and Finance top 5%
- Statistics and Probability top 2%
- Economics and Econometrics top 10%
- Finance top 5%
- Sociology and Political Science
- Topics
- Statistical Methods and Inference (12 papers)Monetary Policy and Economic Impact (11 papers)Financial Risk and Volatility Modeling (4 papers)
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Anna Mikusheva
20 papers receiving 407 citations
Peers
Comparison fields: 5 of 57
- General Economics, Econometrics and Finance 201
- Statistics and Probability 193
- Economics and Econometrics 152
- Finance 108
- Sociology and Political Science 34
Countries citing papers authored by Anna Mikusheva
This map shows the geographic impact of Anna Mikusheva'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 Anna Mikusheva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Mikusheva more than expected).
Fields of papers citing papers by Anna Mikusheva
This network shows the impact of papers produced by Anna Mikusheva. 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 Anna Mikusheva. The network helps show where Anna Mikusheva may publish in the future.
Co-authorship network of co-authors of Anna Mikusheva
This figure shows the co-authorship network connecting the top 25 collaborators of Anna Mikusheva. A scholar is included among the top collaborators of Anna Mikusheva 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 Anna Mikusheva. Anna Mikusheva 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 | 0 | |
| 3 | 11 | |
| 4 | 24 | |
| 5 | 18 | |
| 6 | 26 | |
| 7 | Maximum likelihood inference in weakly identified dynamic stochastic general equilibrium models | 2 |
| 8 | 23 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | Survey on statistical inferences in weakly-identified instrumental variable models | 12 |
| 12 | 12 | |
| 13 | 28 | |
| 14 | 49 | |
| 15 | 2 | |
| 16 | 124 | |
| 17 | 76 | |
| 18 | 7 | |
| 19 | Information Revelation and Efficiency in Auctions | 1 |
| 20 | 1 |
About Anna Mikusheva
Anna Mikusheva is a scholar working on Statistics and Probability, General Economics, Econometrics and Finance and Statistics, Probability and Uncertainty, having authored 21 papers that have together received 426 indexed citations. Recurring topics across this work include Statistical Methods and Inference (12 papers), Monetary Policy and Economic Impact (11 papers) and Financial Risk and Volatility Modeling (4 papers). The work is most often cited by research in General Economics, Econometrics and Finance (201 citations), Statistics and Probability (193 citations) and Finance (108 citations). Anna Mikusheva has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Isaiah Andrews, Brian P. Poi, Liyang Sun, Konstantin Sonin and Mikkel Sølvsten. Their work appears in journals such as American Economic Review, Econometrica 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.