Mikhail Anufriev
- Economics and Econometrics top 1%
- Finance top 2%
- General Economics, Econometrics and Finance top 5%
- Management Science and Operations Research top 5%
- Safety Research top 5%
- Co-authors
- Cars HommesValentyn PanchenkoJan TuinstraTiziana AssenzaDomenico MassaroGiulio BottazziTe BaoAlexey Voinov
- Topics
- Complex Systems and Time Series Analysis (31 papers)Economic theories and models (20 papers)Financial Markets and Investment Strategies (18 papers)
- Journals
- European Journal of Operational ResearchJournal of Banking & FinanceJournal of Economic Theory
- Partner nations
- AustraliaNetherlandsItaly
In The Last Decade
Mikhail Anufriev
46 papers receiving 797 citations
Peers
Comparison fields: 5 of 68
- Economics and Econometrics 680
- Finance 358
- General Economics, Econometrics and Finance 176
- Management Science and Operations Research 134
- Safety Research 86
Countries citing papers authored by Mikhail Anufriev
This map shows the geographic impact of Mikhail Anufriev'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 Mikhail Anufriev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Anufriev more than expected).
Fields of papers citing papers by Mikhail Anufriev
This network shows the impact of papers produced by Mikhail Anufriev. 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 Mikhail Anufriev. The network helps show where Mikhail Anufriev may publish in the future.
Co-authorship network of co-authors of Mikhail Anufriev
This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Anufriev. A scholar is included among the top collaborators of Mikhail Anufriev 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 Mikhail Anufriev. Mikhail Anufriev 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 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 70 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | Fee structure, return chasing and mutual fund choice: an experiment | 1 |
| 11 | 11 | |
| 12 | 31 | |
| 13 | 3 | |
| 14 | 5 | |
| 15 | 2 | |
| 16 | 32 | |
| 17 | 31 | |
| 18 | 36 | |
| 19 | Price and Wealth Dynamics in a Speculative Market with an Arbitrary Number of Generic Technical Traders | 4 |
| 20 | Asset Pricing Model with Heterogeneous Investment Horizons | 4 |
About Mikhail Anufriev
Mikhail Anufriev is a scholar working on Finance, Safety Research and Economics and Econometrics, having authored 50 papers that have together received 826 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (31 papers), Economic theories and models (20 papers) and Financial Markets and Investment Strategies (18 papers). The work is most often cited by research in Finance (358 citations), Economics and Econometrics (680 citations) and General Decision Sciences (42 citations). Mikhail Anufriev has collaborated with scholars based in Australia, Netherlands and Italy. Frequent co-authors include Cars Hommes, Valentyn Panchenko, Jan Tuinstra, Tiziana Assenza, Domenico Massaro, Giulio Bottazzi, Te Bao, Alexey Voinov, Nagesh Shukla and Tatiana Filatova. Their work appears in journals such as European Journal of Operational Research, Journal of Banking & Finance and Journal of Economic Theory.
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.