Thomas Lux

9.5k total citations · 2 hit papers
110 papers, 5.2k citations indexed

About

Thomas Lux is a scholar working on Economics and Econometrics, Finance and Sociology and Political Science. According to data from OpenAlex, Thomas Lux has authored 110 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Economics and Econometrics, 47 papers in Finance and 16 papers in Sociology and Political Science. Recurrent topics in Thomas Lux's work include Complex Systems and Time Series Analysis (62 papers), Financial Risk and Volatility Modeling (33 papers) and Economic theories and models (16 papers). Thomas Lux is often cited by papers focused on Complex Systems and Time Series Analysis (62 papers), Financial Risk and Volatility Modeling (33 papers) and Economic theories and models (16 papers). Thomas Lux collaborates with scholars based in Germany, Spain and Italy. Thomas Lux's co-authors include Michele Marchesi, Simone Alfarano, Daniel Fricke, Friedrich Wagner, D. Stauffer, Armin Haas, Alan Kirman, Michael Goldberg, David Colander and Katarina Jusélius and has published in prestigious journals such as Nature, Nature Physics and The Economic Journal.

In The Last Decade

Thomas Lux

95 papers receiving 4.9k citations

Hit Papers

Scaling and criticality in a stochastic multi-agent model... 1995 2026 2005 2015 1999 1995 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Scaling and criticality in a stochastic multi-agent model of a financial market
    1999 953 citations Thomas Lux, Michele Marchesi profile →
  2. Herd Behaviour, Bubbles and Crashes
    1995 648 citations Thomas Lux profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Lux Germany 29 4.4k 2.9k 895 749 469 110 5.2k
Ladislav Krištoufek Czechia 36 4.8k 1.1× 1.8k 0.6× 454 0.5× 535 0.7× 385 0.8× 110 5.8k
Cars Hommes Netherlands 43 6.9k 1.6× 3.4k 1.2× 624 0.7× 1.2k 1.7× 2.0k 4.3× 155 7.9k
Benjamin Miranda Tabak Brazil 42 4.7k 1.1× 3.6k 1.2× 1.0k 1.2× 1.0k 1.3× 843 1.8× 252 6.3k
Mauro Gallegati Italy 36 4.2k 1.0× 1.9k 0.7× 500 0.6× 557 0.7× 1.4k 3.0× 191 5.2k
Daniel O. Cajueiro Brazil 29 2.5k 0.6× 2.0k 0.7× 683 0.8× 430 0.6× 372 0.8× 114 3.3k
Carl Chiarella Australia 29 2.7k 0.6× 1.9k 0.7× 259 0.3× 520 0.7× 667 1.4× 256 3.5k
Frank Westerhoff Germany 31 2.2k 0.5× 1.3k 0.5× 309 0.3× 286 0.4× 425 0.9× 124 2.6k
Michael A. Salinger United States 24 2.2k 0.5× 419 0.1× 424 0.5× 296 0.4× 357 0.8× 62 3.1k
Anirban Chakraborti India 22 2.1k 0.5× 587 0.2× 1.3k 1.4× 248 0.3× 122 0.3× 72 2.9k
Giulia Iori United Kingdom 22 1.6k 0.4× 1.3k 0.5× 370 0.4× 312 0.4× 118 0.3× 62 2.1k

Countries citing papers authored by Thomas Lux

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Lux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Lux

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Lux. A scholar is included among the top collaborators of Thomas Lux 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 Thomas Lux. Thomas Lux 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.
Mau, Steffen, et al.. (2025). Das Klima der Ungleichheit. Zur sozialen Struktur von Klimakonflikten. Berliner Journal für Soziologie. 35(2). 339–354. 1 indexed citations
2.
Mau, Steffen, et al.. (2024). „Ja, aber“: Gesellschaftliche Konflikte verstehen. Eine Replik. KZfSS Kölner Zeitschrift für Soziologie und Sozialpsychologie. 76(2). 207–220.
3.
Horn, Heike, et al.. (2023). Weiterbildungsstatistik im Verbund 2020.
4.
5.
Karimi, Fariba, et al.. (2021). Advances in the agent-based modeling of economic and social behavior. SN Business & Economics. 1(7). 99–99. 28 indexed citations
6.
Lux, Thomas. (2021). The social dynamics of COVID-19. Physica A Statistical Mechanics and its Applications. 567. 125710–125710. 20 indexed citations
7.
Lux, Thomas, et al.. (2021). Volkshochschul-Statistik. 5 indexed citations
8.
Lux, Thomas, et al.. (2020). Volkshochschul-Statistik. Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences). 3 indexed citations
9.
Fricke, Daniel & Thomas Lux. (2015). On the distribution of links in the interbank network: evidence from the e-MID overnight money market. Empirical Economics. 49(4). 1463–1495. 35 indexed citations
10.
Lux, Thomas, et al.. (2013). Business intelligence and information systems in hospitals--distribution and usage of BI and HIS in German hospitals.. PubMed. 190. 191–3. 1 indexed citations
11.
Lux, Thomas. (2009). Applications of Statistical Physics in Finance and Economics. Chapters. 11 indexed citations
12.
Alfarano, Simone & Thomas Lux. (2007). A NOISE TRADER MODEL AS A GENERATOR OF APPARENT FINANCIAL POWER LAWS AND LONG MEMORY. Macroeconomic Dynamics. 11(S1). 80–101. 47 indexed citations
13.
Alfarano, Simone, Thomas Lux, & Friedrich Wagner. (2005). Estimation of Agent-Based Models: The Case of an Asymmetric Herding Model. Computational Economics. 26(1). 19–49. 232 indexed citations
14.
Lux, Thomas. (2004). DETECTING MULTIFRACTAL PROPERTIES IN ASSET RETURNS: THE FAILURE OF THE "SCALING ESTIMATOR". International Journal of Modern Physics C. 15(4). 481–491. 55 indexed citations
15.
Lux, Thomas, et al.. (2004). Genetic learning as an explanation of stylized facts of foreign exchange markets. Journal of Mathematical Economics. 41(1-2). 169–196. 58 indexed citations
16.
Lange, Thomas & Thomas Lux. (2004). Historisches Lernen im Archiv. Wochenschau Verlag eBooks. 2 indexed citations
17.
Lux, Thomas. (2003). Kulturelle Dimensionen der Medizin : Ethnomedizin -- Medizinethnologie -- medical anthropology.
18.
Lux, Thomas. (2001). On Moment Condition Failure in German Stock Returns: An Application of Recent Advances in Extreme Value Statistics. SSRN Electronic Journal. 2 indexed citations
19.
Lux, Thomas. (2001). The Multi-Fractal Model of Asset Returns: Simple Moment and GMM Estimation. RePEc: Research Papers in Economics. 4 indexed citations
20.
Lux, Thomas & Michele Marchesi. (1998). "Scaling and Criticality in a Stochastic Multi-Agent Model of a Financial Market". RePEc: Research Papers in Economics. 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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