Marcin Wątorek

755 total citations
21 papers, 387 citations indexed

About

Marcin Wątorek is a scholar working on Economics and Econometrics, Finance and Condensed Matter Physics. According to data from OpenAlex, Marcin Wątorek has authored 21 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Economics and Econometrics, 11 papers in Finance and 6 papers in Condensed Matter Physics. Recurrent topics in Marcin Wątorek's work include Complex Systems and Time Series Analysis (19 papers), Financial Risk and Volatility Modeling (10 papers) and Theoretical and Computational Physics (6 papers). Marcin Wątorek is often cited by papers focused on Complex Systems and Time Series Analysis (19 papers), Financial Risk and Volatility Modeling (10 papers) and Theoretical and Computational Physics (6 papers). Marcin Wątorek collaborates with scholars based in Poland, Ireland and United States. Marcin Wątorek's co-authors include Stanisław Drożdż, Jarosław Kwapień, Paweł Oświȩcimka, Magdalena Fąfrowicz, S. Adarsh, Tadeusz Marek, Hussein Abdoh, Martin Crane, Aktham Maghyereh and Marija Bezbradica and has published in prestigious journals such as Scientific Reports, Energy Economics and Nonlinear Dynamics.

In The Last Decade

Marcin Wątorek

19 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcin Wątorek Poland 11 320 166 60 52 35 21 387
Peter Cauwels Switzerland 11 354 1.1× 211 1.3× 61 1.0× 22 0.4× 58 1.7× 28 491
Gitit Gur-Gershgoren Israel 7 373 1.2× 167 1.0× 189 3.1× 13 0.3× 34 1.0× 9 482
Leonidas Sandoval Brazil 8 452 1.4× 183 1.1× 163 2.7× 21 0.4× 79 2.3× 10 527
Vladimir Filimonov Switzerland 10 248 0.8× 145 0.9× 49 0.8× 21 0.4× 39 1.1× 20 408
Mark McDonald United Kingdom 7 282 0.9× 171 1.0× 99 1.6× 15 0.3× 101 2.9× 9 378
Paolo Barucca United Kingdom 13 237 0.7× 207 1.2× 144 2.4× 23 0.4× 29 0.8× 36 475
Zygmunt Mazur Poland 7 247 0.8× 139 0.8× 117 1.9× 13 0.3× 38 1.1× 29 321
Stacy Williams United Kingdom 8 301 0.9× 186 1.1× 99 1.6× 15 0.3× 123 3.5× 10 413
Sónia R. Bentes Portugal 12 330 1.0× 214 1.3× 51 0.8× 17 0.3× 49 1.4× 30 396
Wei Shao China 10 347 1.1× 87 0.5× 67 1.1× 5 0.1× 28 0.8× 26 413

Countries citing papers authored by Marcin Wątorek

Since Specialization
Citations

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

Fields of papers citing papers by Marcin Wątorek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcin Wątorek

This figure shows the co-authorship network connecting the top 25 collaborators of Marcin Wątorek. A scholar is included among the top collaborators of Marcin Wątorek 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 Marcin Wątorek. Marcin Wątorek 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.
Drożdż, Stanisław, et al.. (2025). Disentangling Sources of Multifractality in Time Series. Mathematics. 13(2). 205–205. 6 indexed citations
2.
Wątorek, Marcin, Marija Bezbradica, Martin Crane, Jarosław Kwapień, & Stanisław Drożdż. (2025). Filtering amplitude dependence of correlation dynamics in complex systems: Application to the cryptocurrency market. Physical review. E. 112(4). 44309–44309.
3.
Wątorek, Marcin, Magda Gawłowska, Marcin Wnuk, et al.. (2024). Multifractal organization of EEG signals in multiple sclerosis. Biomedical Signal Processing and Control. 91. 105916–105916. 10 indexed citations
4.
Wątorek, Marcin, et al.. (2024). Characteristics of price related fluctuations in non-fungible token (NFT) market. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(1). 8 indexed citations
5.
Wątorek, Marcin, et al.. (2024). Approaching Multifractal Complexity in Decentralized Cryptocurrency Trading. Fractal and Fractional. 8(11). 652–652. 2 indexed citations
6.
Drożdż, Stanisław, Jarosław Kwapień, & Marcin Wątorek. (2023). What Is Mature and What Is Still Emerging in the Cryptocurrency Market?. Entropy. 25(5). 772–772. 18 indexed citations
7.
Wątorek, Marcin, Jarosław Kwapień, & Stanisław Drożdż. (2023). Cryptocurrencies Are Becoming Part of the World Global Financial Market. Entropy. 25(2). 377–377. 30 indexed citations
8.
Wątorek, Marcin, et al.. (2023). Decomposing cryptocurrency high-frequency price dynamics into recurring and noisy components. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(8). 3 indexed citations
9.
Ochab, Jeremi K., et al.. (2022). Task-dependent fractal patterns of information processing in working memory. Scientific Reports. 12(1). 17866–17866. 16 indexed citations
10.
Maghyereh, Aktham, Hussein Abdoh, & Marcin Wątorek. (2022). The impact of COVID-19 pandemic on the dynamic correlations between gold and U.S. equities: evidence from multifractal cross-correlation analysis. Quality & Quantity. 57(2). 1889–1903. 8 indexed citations
11.
Kwapień, Jarosław, et al.. (2022). Analysis of inter-transaction time fluctuations in the cryptocurrency market. arXiv (Cornell University). 19 indexed citations
12.
Wątorek, Marcin, Jarosław Kwapień, & Stanisław Drożdż. (2022). Multifractal Cross-Correlations of Bitcoin and Ether Trading Characteristics in the Post-COVID-19 Time. Future Internet. 14(7). 215–215. 21 indexed citations
13.
Wątorek, Marcin, Jarosław Kwapień, & Stanisław Drożdż. (2021). Financial Return Distributions: Past, Present, and COVID-19. Entropy. 23(7). 884–884. 29 indexed citations
14.
Adarsh, S., et al.. (2020). Multifractal description of streamflow and suspended sediment concentration data from Indian river basins. Acta Geophysica. 68(2). 519–535. 19 indexed citations
15.
Adarsh, S. & Marcin Wątorek. (2020). Analyzing the streamflow-sediment links of three major river basins in India using multifractal theory. IOP Conference Series Earth and Environmental Science. 491(1). 12006–12006. 2 indexed citations
16.
Drożdż, Stanisław, et al.. (2020). Complexity in Economic and Social Systems: Cryptocurrency Market at around COVID-19. Entropy. 22(9). 1043–1043. 75 indexed citations
17.
Wątorek, Marcin, et al.. (2019). Multifractal cross-correlations between the world oil and other financial markets in 2012–2017. Energy Economics. 81. 874–885. 72 indexed citations
18.
Oświȩcimka, Paweł, et al.. (2019). Detecting correlations and triangular arbitrage opportunities in the Forex by means of multifractal detrended cross-correlations analysis. Nonlinear Dynamics. 98(3). 2349–2364. 36 indexed citations
19.
Wątorek, Marcin, et al.. (2016). Log-Periodic Power Law and Generalized Hurst Exponent Analysis in Estimating an Asset Bubble Bursting Time. Econstor (Econstor). 12(3). 49–58.
20.
Wątorek, Marcin, Stanisław Drożdż, & Paweł Oświȩcimka. (2016). World Financial 2014-2016 Market Bubbles: Oil Negative - US Dollar Positive. Acta Physica Polonica A. 129(5). 932–936. 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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