Roman Matkovskyy

1.2k total citations · 1 hit paper
37 papers, 875 citations indexed

About

Roman Matkovskyy is a scholar working on Economics and Econometrics, Information Systems and Finance. According to data from OpenAlex, Roman Matkovskyy has authored 37 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Economics and Econometrics, 17 papers in Information Systems and 12 papers in Finance. Recurrent topics in Roman Matkovskyy's work include Blockchain Technology Applications and Security (15 papers), Complex Systems and Time Series Analysis (12 papers) and Market Dynamics and Volatility (12 papers). Roman Matkovskyy is often cited by papers focused on Blockchain Technology Applications and Security (15 papers), Complex Systems and Time Series Analysis (12 papers) and Market Dynamics and Volatility (12 papers). Roman Matkovskyy collaborates with scholars based in France, United Kingdom and Ireland. Roman Matkovskyy's co-authors include Akanksha Jalan, Larisa Yarovaya, Michael Dowling, Andrew Urquhart, Saqib Aziz, Adrian Palmer, Helle Alsted Søndergaard, Valerio Potì, Helmi Hammami and Don Bredın and has published in prestigious journals such as Economics Letters, Journal of Interactive Marketing and Finance research letters.

In The Last Decade

Roman Matkovskyy

34 papers receiving 845 citations

Hit Papers

The effects of a “black swan” event (COVID-19) on herding... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Roman Matkovskyy France 15 681 477 303 72 71 37 875
Akanksha Jalan France 14 656 1.0× 450 0.9× 289 1.0× 57 0.8× 54 0.8× 34 882
Erdinç Akyıldırım Türkiye 16 699 1.0× 429 0.9× 385 1.3× 176 2.4× 47 0.7× 42 941
Richard McGee Ireland 8 1.2k 1.7× 715 1.5× 403 1.3× 64 0.9× 60 0.8× 19 1.3k
Georges Azzi Lebanon 6 1.2k 1.7× 1.0k 2.1× 459 1.5× 85 1.2× 56 0.8× 11 1.4k
Hanxiong Zhang United Kingdom 10 468 0.7× 340 0.7× 181 0.6× 55 0.8× 25 0.4× 24 660
Samet Günay Kuwait 16 842 1.2× 203 0.4× 346 1.1× 61 0.8× 50 0.7× 63 1.0k
Andrew Meegan Ireland 11 1.3k 1.9× 1.1k 2.4× 511 1.7× 91 1.3× 76 1.1× 13 1.5k
Ada M. Pérez-Pico Spain 11 313 0.5× 134 0.3× 146 0.5× 101 1.4× 78 1.1× 14 513
Jonathan R. Karlsen Australia 4 308 0.5× 548 1.1× 168 0.6× 25 0.3× 170 2.4× 7 713
Eduard Baumöhl Slovakia 16 860 1.3× 138 0.3× 430 1.4× 73 1.0× 44 0.6× 41 1.0k

Countries citing papers authored by Roman Matkovskyy

Since Specialization
Citations

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

Fields of papers citing papers by Roman Matkovskyy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roman Matkovskyy

This figure shows the co-authorship network connecting the top 25 collaborators of Roman Matkovskyy. A scholar is included among the top collaborators of Roman Matkovskyy 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 Roman Matkovskyy. Roman Matkovskyy 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
1.
Jalan, Akanksha, et al.. (2025). Individual investor trust and cryptocurrency participation: evidence from three Nordic countries. The Journal of Technology Transfer.
2.
Jalan, Akanksha & Roman Matkovskyy. (2023). Systemic Risks in the Cryptocurrency Market: Evidence from the FTX Collapse. SSRN Electronic Journal. 6 indexed citations
3.
Jalan, Akanksha & Roman Matkovskyy. (2023). The Role of Trust in Crypto Investment and Savings - Evidence from Three Nordic Countries. SSRN Electronic Journal. 2 indexed citations
4.
Jalan, Akanksha & Roman Matkovskyy. (2023). Systemic risks in the cryptocurrency market: Evidence from the FTX collapse. Finance research letters. 53. 103670–103670. 48 indexed citations
5.
Jalan, Akanksha, Roman Matkovskyy, Andrew Urquhart, & Larisa Yarovaya. (2022). The role of interpersonal trust in cryptocurrency adoption. Journal of International Financial Markets Institutions and Money. 83. 101715–101715. 40 indexed citations
6.
Dowling, Michael, et al.. (2021). Price transmission in European fish markets. Applied Economics. 54(19). 2194–2213.
7.
Yarovaya, Larisa, Roman Matkovskyy, & Akanksha Jalan. (2021). The effects of a “black swan” event (COVID-19) on herding behavior in cryptocurrency markets. Journal of International Financial Markets Institutions and Money. 75. 101321–101321. 164 indexed citations breakdown →
9.
Jalan, Akanksha, Roman Matkovskyy, & Larisa Yarovaya. (2021). “Shiny” crypto assets: A systemic look at gold-backed cryptocurrencies during the COVID-19 pandemic. International Review of Financial Analysis. 78. 101958–101958. 48 indexed citations
10.
Aziz, Saqib, et al.. (2021). Does Shariah compliance affect investor behaviour in the COVID-19 times: evidence from herding in the global energy market. Applied Economics. 54(24). 2825–2836. 4 indexed citations
11.
Jalan, Akanksha, Roman Matkovskyy, & Andrew Urquhart. (2021). What effect did the introduction of Bitcoin futures have on the Bitcoin spot market?. European Journal of Finance. 27(13). 1251–1281. 35 indexed citations
12.
Jalan, Akanksha, Roman Matkovskyy, & Larisa Yarovaya. (2021). 'Shiny' Crypto Assets: A Systemic Look at Gold-Backed Cryptocurrencies during the COVID-19 Pandemic. SSRN Electronic Journal. 6 indexed citations
13.
Yarovaya, Larisa, Roman Matkovskyy, & Akanksha Jalan. (2021). The COVID-19 black swan crisis: Reaction and recovery of various financial markets. Research in International Business and Finance. 59. 101521–101521. 80 indexed citations
14.
Yarovaya, Larisa, Roman Matkovskyy, & Akanksha Jalan. (2020). The Effects of a 'Black Swan' Event (COVID-19) on Herding Behavior in Cryptocurrency Markets: Evidence from Cryptocurrency USD, EUR, JPY and KRW Markets. SSRN Electronic Journal. 71 indexed citations
15.
Yarovaya, Larisa, Roman Matkovskyy, & Akanksha Jalan. (2020). The COVID-19 Black Swan Crisis: Reaction and Recovery of Various Financial Markets. SSRN Electronic Journal. 15 indexed citations
16.
Jalan, Akanksha, Roman Matkovskyy, & Saqib Aziz. (2020). The Bitcoin options market: A first look at pricing and risk. Applied Economics. 53(17). 2026–2041. 15 indexed citations
17.
Matkovskyy, Roman, et al.. (2019). From bottom ten to top ten: The role of cryptocurrencies in enhancing portfolio return of poorly performing stocks. Finance research letters. 38. 101405–101405. 30 indexed citations
18.
Matkovskyy, Roman & Akanksha Jalan. (2019). From financial markets to Bitcoin markets: A fresh look at the contagion effect. Finance research letters. 31. 93–97. 108 indexed citations
19.
Palmer, Adrian, et al.. (2017). Pre-launch Prediction of Market Performance for Short Lifecycle Products Using Online Community Data. Journal of Interactive Marketing. 38(1). 12–28. 29 indexed citations
20.
Croonenbroeck, Carsten & Roman Matkovskyy. (2014). Demand for investment advice over time: the disposition effect revisited. Applied Financial Economics. 24(4). 235–240. 1 indexed citations

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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