Viktor Manahov

493 total citations
33 papers, 308 citations indexed

About

Viktor Manahov is a scholar working on Economics and Econometrics, Finance and Management Science and Operations Research. According to data from OpenAlex, Viktor Manahov has authored 33 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Economics and Econometrics, 19 papers in Finance and 14 papers in Management Science and Operations Research. Recurrent topics in Viktor Manahov's work include Complex Systems and Time Series Analysis (18 papers), Financial Markets and Investment Strategies (17 papers) and Stock Market Forecasting Methods (14 papers). Viktor Manahov is often cited by papers focused on Complex Systems and Time Series Analysis (18 papers), Financial Markets and Investment Strategies (17 papers) and Stock Market Forecasting Methods (14 papers). Viktor Manahov collaborates with scholars based in United Kingdom, Türkiye and Australia. Viktor Manahov's co-authors include Robert Hudson, Andrew Urquhart, Hanxiong Zhang, Bartosz Gębka, Hafiz Hoque, Hugh Metcalf, Philip Linsley, John K. Ashton, Abdullah Yalaman and Metin Argan and has published in prestigious journals such as Expert Systems with Applications, Annals of Tourism Research and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Viktor Manahov

33 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Viktor Manahov United Kingdom 10 194 158 92 90 46 33 308
S. Sarah Zhang United Kingdom 6 170 0.9× 178 1.1× 70 0.8× 51 0.6× 61 1.3× 12 267
Suwan Long Ireland 8 229 1.2× 98 0.6× 99 1.1× 27 0.3× 24 0.5× 19 328
Imen Mbarki Russia 6 262 1.4× 141 0.9× 110 1.2× 37 0.4× 22 0.5× 6 312
Yinhong Yao China 9 242 1.2× 92 0.6× 135 1.5× 87 1.0× 57 1.2× 20 388
Qing Bai United States 6 152 0.8× 82 0.5× 188 2.0× 70 0.8× 26 0.6× 10 312
Axel Groß-Klußmann Germany 5 170 0.9× 194 1.2× 17 0.2× 97 1.1× 48 1.0× 7 278
Jiří Švec Australia 9 237 1.2× 199 1.3× 225 2.4× 38 0.4× 39 0.8× 28 387
Yousra Trichilli Tunisia 11 219 1.1× 134 0.8× 48 0.5× 36 0.4× 134 2.9× 18 304
Soonho Kim South Korea 6 151 0.8× 210 1.3× 19 0.2× 135 1.5× 76 1.7× 15 295
Konstantin Sokolov United States 7 220 1.1× 316 2.0× 45 0.5× 102 1.1× 123 2.7× 17 396

Countries citing papers authored by Viktor Manahov

Since Specialization
Citations

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

Fields of papers citing papers by Viktor Manahov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Viktor Manahov

This figure shows the co-authorship network connecting the top 25 collaborators of Viktor Manahov. A scholar is included among the top collaborators of Viktor Manahov 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 Viktor Manahov. Viktor Manahov 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.
Manahov, Viktor, et al.. (2025). A note on the relationship between Bitcoin price and sentiment: New evidence obtained from a cryptocurrency heist. The North American Journal of Economics and Finance. 78. 102432–102432. 1 indexed citations
2.
Manahov, Viktor, et al.. (2025). The digitalisation of the real estate market: New evidence from the most prominent crypto hacker attacks. International Review of Financial Analysis. 103. 104166–104166. 2 indexed citations
3.
Manahov, Viktor, et al.. (2025). A note on the relationship between digital assets and the energy markets: new evidence from the most prominent crypto heists. European Journal of Finance. 1–37. 2 indexed citations
4.
Manahov, Viktor, et al.. (2024). The impact of cryptocurrency heists on Bitcoin's market efficiency. International Journal of Finance & Economics. 30(3). 2912–2929. 4 indexed citations
5.
Manahov, Viktor. (2023). The rapid growth of cryptocurrencies: How profitable is trading in digital money?. International Journal of Finance & Economics. 29(2). 2214–2229. 2 indexed citations
6.
Manahov, Viktor, et al.. (2023). The implications of virtual money on travel and tourism. Annals of Tourism Research. 105. 103686–103686. 8 indexed citations
7.
Manahov, Viktor. (2023). The great crypto crash in September 2018: why did the cryptocurrency market collapse?. Annals of Operations Research. 332(1-3). 579–616. 10 indexed citations
8.
Yalaman, Abdullah & Viktor Manahov. (2021). Analysing emerging market returns with high-frequency data during the global financial crisis of 2007–2009. European Journal of Finance. 28(10). 1019–1051. 1 indexed citations
9.
Manahov, Viktor. (2020). Cryptocurrency liquidity during extreme price movements: is there a problem with virtual money?. Quantitative Finance. 21(2). 341–360. 37 indexed citations
10.
Manahov, Viktor. (2020). High‐frequency trading order cancellations and market quality: Is stricter regulation the answer?. International Journal of Finance & Economics. 26(4). 5385–5407. 4 indexed citations
11.
Manahov, Viktor & Hanxiong Zhang. (2019). Forecasting Financial Markets Using High-Frequency Trading Data: Examination with Strongly Typed Genetic Programming. International Journal of Electronic Commerce. 23(1). 12–32. 16 indexed citations
12.
Manahov, Viktor, et al.. (2017). Does capital market reaction to non-economic factors generate abnormal returns?. Investment Management and Financial Innovations. 11(4). 5 indexed citations
13.
Manahov, Viktor, et al.. (2017). The effect of ambiguity on the UK stock market: evidence from a new empirical approach. Investment Management and Financial Innovations. 14(4). 133–147. 1 indexed citations
14.
Manahov, Viktor. (2016). The rise of the machines in commodities markets: new evidence obtained using Strongly Typed Genetic Programming. Annals of Operations Research. 260(1-2). 321–352. 8 indexed citations
15.
Zhang, Hanxiong, Robert Hudson, Hugh Metcalf, & Viktor Manahov. (2016). Investigation of institutional changes in the UK housing market using structural break tests and time-varying parameter models. Empirical Economics. 53(2). 617–640. 9 indexed citations
16.
Manahov, Viktor & Robert Hudson. (2014). The implications of high-frequency trading on market efficiency and price discovery. Applied Economics Letters. 21(16). 1148–1151. 7 indexed citations
17.
Manahov, Viktor & Robert Hudson. (2014). A note on the relationship between market efficiency and adaptability – New evidence from artificial stock markets. Expert Systems with Applications. 41(16). 7436–7454. 29 indexed citations
18.
Manahov, Viktor, Robert Hudson, & Philip Linsley. (2014). New evidence about the profitability of small and large stocks and the role of volume obtained using Strongly Typed Genetic Programming. Journal of International Financial Markets Institutions and Money. 33. 299–316. 6 indexed citations
19.
Manahov, Viktor & Robert Hudson. (2013). New Evidence of Technical Trading Profitability. Economics bulletin. 33(4). 2493–2503. 1 indexed citations
20.
Manahov, Viktor & Robert Hudson. (2013). Herd behaviour experimental testing in laboratory artificial stock market settings. Behavioural foundations of stylised facts of financial returns. Physica A Statistical Mechanics and its Applications. 392(19). 4351–4372. 9 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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