Stefan Thurner
- Economics and Econometrics top 0.2%
- Statistical and Nonlinear Physics top 0.2%
- Finance top 0.5%
- Sociology and Political Science top 2%
- Modeling and Simulation top 0.2%
- Co-authors
- Rudolf HanelPeter KlimekMichael SzellRenaud LambiotteSebastian PolednaMichael BossHelmut ElsingerMartin Summer
- Topics
- Complex Systems and Time Series Analysis (56 papers)Complex Network Analysis Techniques (50 papers)Opinion Dynamics and Social Influence (37 papers)
- Partner nations
- AustriaUnited StatesUnited Kingdom
In The Last Decade
Stefan Thurner
186 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 211
- Economics and Econometrics 2.4k
- Statistical and Nonlinear Physics 2.3k
- Finance 951
- Sociology and Political Science 866
- Modeling and Simulation 759
Countries citing papers authored by Stefan Thurner
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 46 | |
| 4 | 48 | |
| 5 | 8 | |
| 6 | 5 | |
| 7 | 83 | |
| 8 | 7 | |
| 9 | 42 | |
| 10 | Ranking the effectiveness of worldwide COVID-19 government interventionsbreakdown → | 897 |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 0 | |
| 14 | 17 | |
| 15 | How noise determines the statistics of simple path dependent systems | 1 |
| 16 | Measuring social dynamics in a massive multiplayer online game | 61 |
| 17 | Understanding Zipf's law with playing dice: history-dependent stochastic processes with collapsing sample-space have power-law rank distributions | 1 |
| 18 | 91 | |
| 19 | 18 | |
| 20 | The Eigenvalue Spectrum of Lagged Correlation Matrices | 3 |
About Stefan Thurner
Stefan Thurner is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics and Modeling and Simulation, having authored 197 papers that have together received 7.0k indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (56 papers), Complex Network Analysis Techniques (50 papers) and Opinion Dynamics and Social Influence (37 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.3k citations), Modeling and Simulation (759 citations) and Finance (951 citations). Stefan Thurner has collaborated with scholars based in Austria, United States and United Kingdom. Frequent co-authors include Rudolf Hanel, Peter Klimek, Michael Szell, Renaud Lambiotte, Sebastian Poledna, Michael Boss, Helmut Elsinger, Martin Summer, Bosiljka Tadić and Elma Dervić. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.
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.