Stanislav Volgushev
- Statistics and Probability top 1%
- Finance top 5%
- Artificial Intelligence top 10%
- Economics and Econometrics top 10%
- General Economics, Econometrics and Finance top 10%
- Co-authors
- Holger DetteAxel BücherGuang ChengXiaofeng ShaoTobias KleyJiaying GuMarc HallinSrijan Sengupta
- Topics
- Statistical Methods and Inference (24 papers)Financial Risk and Volatility Modeling (13 papers)Statistical Methods and Bayesian Inference (7 papers)
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
Stanislav Volgushev
37 papers receiving 607 citations
Peers
Comparison fields: 5 of 98
- Statistics and Probability 377
- Finance 187
- Artificial Intelligence 140
- Economics and Econometrics 119
- General Economics, Econometrics and Finance 60
Countries citing papers authored by Stanislav Volgushev
This map shows the geographic impact of Stanislav Volgushev'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 Stanislav Volgushev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stanislav Volgushev more than expected).
Fields of papers citing papers by Stanislav Volgushev
This network shows the impact of papers produced by Stanislav Volgushev. 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 Stanislav Volgushev. The network helps show where Stanislav Volgushev may publish in the future.
Co-authorship network of co-authors of Stanislav Volgushev
This figure shows the co-authorship network connecting the top 25 collaborators of Stanislav Volgushev. A scholar is included among the top collaborators of Stanislav Volgushev 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 Stanislav Volgushev. Stanislav Volgushev 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 | An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias | 1 |
| 3 | 80 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 19 | |
| 7 | 22 | |
| 8 | 2 | |
| 9 | 18 | |
| 10 | 3 | |
| 11 | 10 | |
| 12 | 26 | |
| 13 | 9 | |
| 14 | 6 | |
| 15 | 46 | |
| 16 | 10 | |
| 17 | 6 | |
| 18 | 20 | |
| 19 | 3 | |
| 20 | 7 |
About Stanislav Volgushev
Stanislav Volgushev is a scholar working on Statistics and Probability, Finance and Statistics, Probability and Uncertainty, having authored 37 papers that have together received 622 indexed citations. Recurring topics across this work include Statistical Methods and Inference (24 papers), Financial Risk and Volatility Modeling (13 papers) and Statistical Methods and Bayesian Inference (7 papers). The work is most often cited by research in Statistics and Probability (377 citations), Finance (187 citations) and General Economics, Econometrics and Finance (60 citations). Stanislav Volgushev has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Holger Dette, Axel Bücher, Guang Cheng, Xiaofeng Shao, Tobias Kley, Jiaying Gu, Marc Hallin, Srijan Sengupta, Frank Bretz and Sebastian Engelke. Their work appears in journals such as Journal of the American Statistical Association, PLoS ONE and Biometrics.
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.