Stefan Thurner

12.3k total citations · 3 hit papers
197 papers, 7.0k citations indexed

About

Stefan Thurner is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics and Sociology and Political Science. According to data from OpenAlex, Stefan Thurner has authored 197 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Statistical and Nonlinear Physics, 71 papers in Economics and Econometrics and 34 papers in Sociology and Political Science. Recurrent topics in Stefan Thurner's work include Complex Systems and Time Series Analysis (56 papers), Complex Network Analysis Techniques (50 papers) and Opinion Dynamics and Social Influence (37 papers). Stefan Thurner is often cited by papers focused on Complex Systems and Time Series Analysis (56 papers), Complex Network Analysis Techniques (50 papers) and Opinion Dynamics and Social Influence (37 papers). Stefan Thurner collaborates with scholars based in Austria, United States and United Kingdom. Stefan Thurner's co-authors include Rudolf Hanel, Peter Klimek, Michael Szell, Renaud Lambiotte, Sebastian Poledna, Michael Boss, Helmut Elsinger, Martin Summer, Bosiljka Tadić and Elma Dervić and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Stefan Thurner

186 papers receiving 6.8k citations

Hit Papers

Ranking the effectiven... 2004 2026 2011 2018 2020 2010 2004 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Thurner Austria 41 2.4k 2.3k 951 866 759 197 7.0k
Boris Podobnik Croatia 34 4.7k 2.0× 2.5k 1.1× 2.1k 2.2× 613 0.7× 146 0.2× 112 6.6k
Jukka‐Pekka Onnela United States 39 1.4k 0.6× 2.4k 1.1× 345 0.4× 1.1k 1.3× 149 0.2× 176 8.1k
Kimmo Kaski Finland 55 1.8k 0.8× 4.5k 2.0× 480 0.5× 1.1k 1.2× 194 0.3× 375 12.2k
János Kertész Hungary 52 2.3k 1.0× 5.7k 2.5× 767 0.8× 1.3k 1.5× 163 0.2× 237 12.1k
Frank Schweitzer Switzerland 44 1.1k 0.5× 2.9k 1.3× 270 0.3× 1.5k 1.7× 138 0.2× 204 7.3k
Hideki Takayasu Japan 35 1.9k 0.8× 1.5k 0.6× 627 0.7× 337 0.4× 82 0.1× 203 4.6k
Guido Caldarelli Italy 59 3.8k 1.6× 5.2k 2.3× 1.8k 1.9× 3.3k 3.9× 116 0.2× 229 13.3k
Neil F. Johnson United States 42 1.1k 0.5× 1.2k 0.5× 319 0.3× 1.4k 1.6× 140 0.2× 238 7.2k
Mark S. Handcock United States 44 1.2k 0.5× 3.6k 1.6× 121 0.1× 2.8k 3.2× 255 0.3× 140 11.6k
Misako Takayasu Japan 30 1.3k 0.6× 1.2k 0.5× 411 0.4× 455 0.5× 78 0.1× 182 4.1k

Countries citing papers authored by Stefan Thurner

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Thurner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Thurner

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Thurner. A scholar is included among the top collaborators of Stefan Thurner 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 Stefan Thurner. Stefan Thurner 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.
Dervić, Elma, et al.. (2025). Comorbidity Networks From Population-Wide Health Data: Aggregated Data of 8.9M Hospital Patients (1997–2014). Scientific Data. 12(1). 215–215. 1 indexed citations
2.
Reisch, Tobias, et al.. (2024). Firm-level supply chains to minimize unemployment and economic losses in rapid decarbonization scenarios. Nature Sustainability. 7(5). 581–589. 5 indexed citations
4.
Bianconi, Ginestra, Àlex Arenas, Jacob Biamonte, et al.. (2023). Complex systems in the spotlight: next steps after the 2021 Nobel Prize in Physics. Journal of Physics Complexity. 4(1). 10201–10201. 48 indexed citations
5.
Bicher, Martin, Martin Zuba, Florian Bachner, et al.. (2022). Supporting COVID-19 policy-making with a predictive epidemiological multi-model warning system. SHILAP Revista de lepidopterología. 2(1). 157–157. 8 indexed citations
6.
Lasser, Jana, Elma Dervić, Johannes Sorger, et al.. (2022). Stress-testing the resilience of the Austrian healthcare system using agent-based simulation. Nature Communications. 13(1). 4259–4259. 5 indexed citations
7.
Grilz, Ella, Florian Posch, Stephan Nopp, et al.. (2021). Relative risk of arterial and venous thromboembolism in persons with cancer vs. persons without cancer—a nationwide analysis. European Heart Journal. 42(23). 2299–2307. 83 indexed citations
8.
Strauss, Markus J., Thomas Niederkrotenthaler, Stefan Thurner, Alexandra Kautzky‐Willer, & Peter Klimek. (2021). Data-driven identification of complex disease phenotypes. Journal of The Royal Society Interface. 18(180). 20201040–20201040. 7 indexed citations
9.
Kondor, Imre, et al.. (2020). The effect of social balance on social fragmentation. IIASA PURE (International Institute of Applied Systems Analysis). 42 indexed citations
10.
Haug, Nils, Lukas Geyrhofer, Alessandro Londei, et al.. (2020). Ranking the effectiveness of worldwide COVID-19 government interventions. Nature Human Behaviour. 4(12). 1303–1312. 897 indexed citations breakdown →
11.
Niederkrotenthaler, Thomas, Ellenor Mittendorfer‐Rutz, Stefan Thurner, Gottfried Endel, & Peter Klimek. (2019). Healthcare utilization, psychiatric medication and risk of rehospitalization in suicide-attempting patients with common mental disorders. Australian & New Zealand Journal of Psychiatry. 54(4). 409–422. 5 indexed citations
12.
Turchin, Peter, Nina Witoszek, Stefan Thurner, et al.. (2019). A History of Possible Futures: Multipath Forecasting of Social Breakdown, Recovery, and Resilience. 9(2). 4 indexed citations
13.
Thurner, Stefan, et al.. (2018). Scaling. Oxford University Press eBooks.
14.
Lansing, J. Stephen, Elsa G. Guillot, Stefan Thurner, et al.. (2017). Kinship structures create persistent channels for language transmission. Proceedings of the National Academy of Sciences. 114(49). 12910–12915. 17 indexed citations
15.
Corominas‐Murtra, Bernat, et al.. (2017). How noise determines the statistics of simple path dependent systems. arXiv (Cornell University). 1 indexed citations
16.
Szell, Michael & Stefan Thurner. (2016). Measuring social dynamics in a massive multiplayer online game. 61 indexed citations
17.
Corominas‐Murtra, Bernat, Rudolf Hanel, & Stefan Thurner. (2014). Understanding Zipf's law with playing dice: history-dependent stochastic processes with collapsing sample-space have power-law rank distributions. arXiv (Cornell University). 1 indexed citations
18.
Szell, Michael & Stefan Thurner. (2013). How women organize social networks different from men. Scientific Reports. 3(1). 1214–1214. 91 indexed citations
19.
Thurner, Stefan. (2008). Nonextensive statisticalmechanics and complexscale-free networks. Springer Link (Chiba Institute of Technology). 18 indexed citations
20.
Thurner, Stefan, et al.. (2007). The Eigenvalue Spectrum of Lagged Correlation Matrices. Acta Physica Polonica B. 38(13). 4111. 3 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026