David Vidal-Tomás

1.8k total citations · 4 hit papers
30 papers, 1.2k citations indexed

About

David Vidal-Tomás is a scholar working on Economics and Econometrics, Information Systems and Finance. According to data from OpenAlex, David Vidal-Tomás has authored 30 papers receiving a total of 1.2k 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 13 papers in Finance. Recurrent topics in David Vidal-Tomás's work include Complex Systems and Time Series Analysis (19 papers), Blockchain Technology Applications and Security (17 papers) and Market Dynamics and Volatility (10 papers). David Vidal-Tomás is often cited by papers focused on Complex Systems and Time Series Analysis (19 papers), Blockchain Technology Applications and Security (17 papers) and Market Dynamics and Volatility (10 papers). David Vidal-Tomás collaborates with scholars based in Spain, United Kingdom and Italy. David Vidal-Tomás's co-authors include Ana M. Ibáñez, José Emilio Farinós Viñas, Rocco Caferra, Tomaso Aste, Yuanrong Wang, Simone Alfarano, Gabriele Tedeschi, Domenico Delli Gatti, Mauro Gallegati and Antonio Palestrini and has published in prestigious journals such as Physica A Statistical Mechanics and its Applications, Journal of Economic Behavior & Organization and Economics Letters.

In The Last Decade

David Vidal-Tomás

27 papers receiving 1.2k citations

Hit Papers

Semi-strong efficiency of Bitcoin 2018 2026 2020 2023 2018 2022 2022 2023 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Vidal-Tomás Spain 15 860 754 474 102 93 30 1.2k
Adam Hayes United States 12 345 0.4× 527 0.7× 148 0.3× 63 0.6× 117 1.3× 25 736
Chris Berg Australia 15 173 0.2× 504 0.7× 56 0.1× 84 0.8× 232 2.5× 106 825
Miha Grćar Slovenia 13 154 0.2× 171 0.2× 135 0.3× 194 1.9× 36 0.4× 23 915
Thomas Dimpfl Germany 21 1.7k 1.9× 896 1.2× 960 2.0× 290 2.8× 96 1.0× 62 2.1k
Rodney Garratt United States 18 379 0.4× 201 0.3× 334 0.7× 87 0.9× 62 0.7× 60 813
Mark Stone United States 16 329 0.4× 126 0.2× 531 1.1× 22 0.2× 11 0.1× 50 1.1k
Paraskevi Katsiampa United Kingdom 17 1.9k 2.2× 1.4k 1.9× 882 1.9× 201 2.0× 127 1.4× 28 2.1k
Alvin Chung Man Leung Hong Kong 14 58 0.1× 294 0.4× 49 0.1× 53 0.5× 64 0.7× 40 653
Marina Niessner United States 14 306 0.4× 347 0.5× 558 1.2× 144 1.4× 304 3.3× 23 1.1k
Narcisa Roxana Moşteanu Malta 15 113 0.1× 227 0.3× 13 0.0× 62 0.6× 174 1.9× 42 621

Countries citing papers authored by David Vidal-Tomás

Since Specialization
Citations

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

Fields of papers citing papers by David Vidal-Tomás

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Vidal-Tomás. 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 David Vidal-Tomás. The network helps show where David Vidal-Tomás may publish in the future.

Co-authorship network of co-authors of David Vidal-Tomás

This figure shows the co-authorship network connecting the top 25 collaborators of David Vidal-Tomás. A scholar is included among the top collaborators of David Vidal-Tomás 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 David Vidal-Tomás. David Vidal-Tomás 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.
Vidal-Tomás, David & Tomaso Aste. (2025). Integration or separation? Examining the dynamic relationship between crypto and traditional finance. Finance research letters. 86. 108927–108927.
2.
Vidal-Tomás, David. (2025). Centralized exchanges & proof-of-solvency: The guardians of trust. Journal of International Financial Markets Institutions and Money. 103. 102183–102183. 1 indexed citations
3.
Vidal-Tomás, David. (2023). The illusion of the metaverse and meta-economy. International Review of Financial Analysis. 86. 102560–102560. 79 indexed citations breakdown →
4.
Gatti, Domenico Delli, Mauro Gallegati, Antonio Palestrini, Gabriele Tedeschi, & David Vidal-Tomás. (2023). Market power, technical progress and financial fragility. Journal of Economic Behavior & Organization. 217. 435–452.
5.
Vidal-Tomás, David, et al.. (2023). FTX’s downfall and Binance’s consolidation: The fragility of centralised digital finance. Physica A Statistical Mechanics and its Applications. 625. 129044–129044. 33 indexed citations
6.
Vidal-Tomás, David, et al.. (2023). Ftx's Downfall and Binance's Consolidation: The Fragility of Centralized Digital Finance. SSRN Electronic Journal. 6 indexed citations
7.
Vidal-Tomás, David, et al.. (2022). A Cross-Sectional Analysis of Growth and Profit Rate Distribution: The Spanish Case. Mathematics. 10(6). 926–926.
8.
Vidal-Tomás, David. (2021). Transitions in the cryptocurrency market during the COVID-19 pandemic: A network analysis. Finance research letters. 43. 101981–101981. 70 indexed citations
9.
Caferra, Rocco & David Vidal-Tomás. (2021). Who raised from the abyss? A comparison between cryptocurrency and stock market dynamics during the COVID-19 pandemic. Finance research letters. 43. 101954–101954. 109 indexed citations
10.
Tedeschi, Gabriele, David Vidal-Tomás, Domenico Delli Gatti, & Mauro Gallegati. (2021). The macroeconomic effects of default and debt restructuring: An agent based exploration. International Review of Economics & Finance. 76. 1146–1163. 7 indexed citations
11.
Vidal-Tomás, David, Rocco Caferra, & Gabriele Tedeschi. (2021). The day after tomorrow: financial repercussions of COVID-19 on systemic risk. PubMed. 3(1). 169–192. 3 indexed citations
12.
Vidal-Tomás, David, Ana M. Ibáñez, & José Emilio Farinós Viñas. (2021). The Effect of the Launch of Bitcoin Futures on the Cryptocurrency Market: An Economic Efficiency Approach. Mathematics. 9(4). 413–413. 4 indexed citations
13.
Vidal-Tomás, David. (2021). An investigation of cryptocurrency data: the market that never sleeps. Quantitative Finance. 21(12). 2007–2024. 20 indexed citations
14.
Vidal-Tomás, David. (2020). All the frequencies matter in the Bitcoin market: an efficiency analysis. Applied Economics Letters. 29(3). 212–218. 20 indexed citations
15.
Vidal-Tomás, David, Ana M. Ibáñez, & José Emilio Farinós Viñas. (2019). Weak efficiency of the cryptocurrency market: a market portfolio approach. Applied Economics Letters. 26(19). 1627–1633. 47 indexed citations
16.
Vidal-Tomás, David, et al.. (2019). The desertion of rich countries and the mutual support of the poor ones: Preferential lending agreements among the PIGS. Finance research letters. 34. 101255–101255. 1 indexed citations
17.
Vidal-Tomás, David & Simone Alfarano. (2019). An agent-based early warning indicator for financial market instability. Journal of Economic Interaction and Coordination. 15(1). 49–87. 21 indexed citations
18.
Vidal-Tomás, David, Ana M. Ibáñez, & José Emilio Farinós Viñas. (2018). Herding in the Cryptocurrency Market: CSSD and CSAD Approaches. SSRN Electronic Journal. 13 indexed citations
19.
Vidal-Tomás, David & Ana M. Ibáñez. (2018). Semi-strong efficiency of Bitcoin. Finance research letters. 27. 259–265. 202 indexed citations breakdown →
20.
Vidal-Tomás, David, Ana M. Ibáñez, & José Emilio Farinós Viñas. (2018). Herding in the cryptocurrency market: CSSD and CSAD approaches. Finance research letters. 30. 181–186. 170 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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