Vitali Alexeev
- Finance top 5%
- Economics and Econometrics top 10%
- Management Science and Operations Research top 10%
- Accounting
- General Economics, Econometrics and Finance top 10%
- Co-authors
- Francis TaponMardi DungeyRon BirdDanny YeungRobert BrooksGiovanni UrgaKatja IgnatievaScott R. Colwell
- Topics
- Financial Markets and Investment Strategies (13 papers)Market Dynamics and Volatility (7 papers)Financial Risk and Volatility Modeling (7 papers)
- Journals
- Journal of Banking & FinanceComputational Statistics & Data AnalysisInternational Review of Financial Analysis
- Partner nations
- AustraliaCanadaUnited Kingdom
In The Last Decade
Vitali Alexeev
21 papers receiving 218 citations
Peers
Comparison fields: 5 of 38
- Finance 149
- Economics and Econometrics 135
- Management Science and Operations Research 74
- Accounting 41
- General Economics, Econometrics and Finance 34
Countries citing papers authored by Vitali Alexeev
This map shows the geographic impact of Vitali Alexeev'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 Vitali Alexeev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vitali Alexeev more than expected).
Fields of papers citing papers by Vitali Alexeev
This network shows the impact of papers produced by Vitali Alexeev. 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 Vitali Alexeev. The network helps show where Vitali Alexeev may publish in the future.
Co-authorship network of co-authors of Vitali Alexeev
This figure shows the co-authorship network connecting the top 25 collaborators of Vitali Alexeev. A scholar is included among the top collaborators of Vitali Alexeev 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 Vitali Alexeev. Vitali Alexeev 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 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 76 | |
| 10 | 21 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 18 | |
| 14 | Concurrent Momentum and Contrarian Strategies in the Australian Stock Market | 1 |
| 15 | 10 | |
| 16 | 2 | |
| 17 | 12 | |
| 18 | 3 | |
| 19 | 15 | |
| 20 | 36 |
About Vitali Alexeev
Vitali Alexeev is a scholar working on Finance, General Economics, Econometrics and Finance and Economics and Econometrics, having authored 24 papers that have together received 224 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (13 papers), Market Dynamics and Volatility (7 papers) and Financial Risk and Volatility Modeling (7 papers). The work is most often cited by research in Finance (149 citations), Management Science and Operations Research (74 citations) and Economics and Econometrics (135 citations). Vitali Alexeev has collaborated with scholars based in Australia, Canada and United Kingdom. Frequent co-authors include Francis Tapon, Mardi Dungey, Ron Bird, Danny Yeung, Robert Brooks, Giovanni Urga, Katja Ignatieva, Scott R. Colwell, Theodore J. Noseworthy and Alex Maynard. Their work appears in journals such as Journal of Banking & Finance, Computational Statistics & Data Analysis and International Review of Financial Analysis.
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.