Mikhail Chernov

5.5k total citations · 2 hit papers
63 papers, 3.3k citations indexed

About

Mikhail Chernov is a scholar working on Finance, Economics and Econometrics and General Economics, Econometrics and Finance. According to data from OpenAlex, Mikhail Chernov has authored 63 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Finance, 27 papers in Economics and Econometrics and 25 papers in General Economics, Econometrics and Finance. Recurrent topics in Mikhail Chernov's work include Monetary Policy and Economic Impact (25 papers), Stochastic processes and financial applications (25 papers) and Financial Markets and Investment Strategies (21 papers). Mikhail Chernov is often cited by papers focused on Monetary Policy and Economic Impact (25 papers), Stochastic processes and financial applications (25 papers) and Financial Markets and Investment Strategies (21 papers). Mikhail Chernov collaborates with scholars based in United States, United Kingdom and Canada. Mikhail Chernov's co-authors include Éric Ghysels, Mark Broadie, Michael Johannes, George Tauchen, A. Ronald Gallant, Philippe Mueller, David Backus, Suresh Sundaresan, Ian Martin and Jean‐Pierre Florens and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Finance and Journal of Financial Economics.

In The Last Decade

Mikhail Chernov

59 papers receiving 3.1k citations

Hit Papers

Alternative models for stock price dynamics 2003 2026 2010 2018 2003 2007 200 400 600

Peers

Mikhail Chernov
Comparison fields: 5 of 92
  • Finance 3.0k
  • Economics and Econometrics 1.4k
  • General Economics, Econometrics and Finance 775
  • Accounting 248
  • Demography 181
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Citations per field, relative to Mikhail Chernov
Mikhail Chernov · 1×
Citations per year, relative to Mikhail Chernov
Mikhail Chernov · 1×

Countries citing papers authored by Mikhail Chernov

Since Specialization
Citations

This map shows the geographic impact of Mikhail Chernov'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 Chernov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Chernov more than expected).

Fields of papers citing papers by Mikhail Chernov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mikhail Chernov. 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 Chernov. The network helps show where Mikhail Chernov may publish in the future.

Co-authorship network of co-authors of Mikhail Chernov

This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Chernov. A scholar is included among the top collaborators of Mikhail Chernov 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 Chernov. Mikhail Chernov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 6
3 1
4 1
5 3
6 1
7
Determinants of Asia-Pacific Government Bond Yields
1
8 38
9 5
10 3
11
Crash Risk in Currency Returns
3
12 162
13
Sources of Risk in Currency Returns
2
14 13
15
Monetary Policy Regimes and the Term Structure of Interest Rates
8
16 51
17 80
18 47
19
Alternative models for stock price dynamics breakdown →
656
20 31

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.

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