Didier Sornette
- Economics and Econometrics top 0.02%
- Geophysics top 0.2%
- Finance top 0.05%
- Statistical and Nonlinear Physics top 0.05%
- Artificial Intelligence top 0.5%
- Co-authors
- Wei‐Xing ZhouAnders JohansenAgnès HelmstetterA. SornetteGuy OuillonYannick MalevergneC. VannesteC. G. Sammis
- Topics
- Complex Systems and Time Series Analysis (345 papers)Financial Risk and Volatility Modeling (103 papers)earthquake and tectonic studies (97 papers)
- Partner nations
- SwitzerlandFranceUnited States
In The Last Decade
Didier Sornette
750 papers receiving 23.5k citations
Hit Papers
Peers
Comparison fields: 5 of 209
- Economics and Econometrics 11.0k
- Geophysics 5.3k
- Finance 5.1k
- Statistical and Nonlinear Physics 4.8k
- Artificial Intelligence 2.5k
Countries citing papers authored by Didier Sornette
This map shows the geographic impact of Didier Sornette'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 Didier Sornette with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Didier Sornette more than expected).
Fields of papers citing papers by Didier Sornette
This network shows the impact of papers produced by Didier Sornette. 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 Didier Sornette. The network helps show where Didier Sornette may publish in the future.
Co-authorship network of co-authors of Didier Sornette
This figure shows the co-authorship network connecting the top 25 collaborators of Didier Sornette. A scholar is included among the top collaborators of Didier Sornette 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 Didier Sornette. Didier Sornette 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 | 2 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 5 | |
| 10 | 13 | |
| 11 | 115 | |
| 12 | Classification of crypto-coins and tokens from the dynamics of their power law capitalisation distributions | 2 |
| 13 | Social Blacklist Prediction using a Heterogeneous Information Network | 0 |
| 14 | Quantum Probability and Quantum Decision Making | 2 |
| 15 | 8 | |
| 16 | Robust reverse engineering of crosssectional returns and improved portfolio allocation performance using the CAPM | 2 |
| 17 | 136 | |
| 18 | Imitation and contrarian behavior : hyperbolic bubbles, crashes and chaos | 2 |
| 19 | 326 | |
| 20 | Statistical Asynchronous Regression | 2 |
About Didier Sornette
Didier Sornette is a scholar working on Finance, Acoustics and Ultrasonics and Economics and Econometrics, having authored 786 papers that have together received 24.7k indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (345 papers), Financial Risk and Volatility Modeling (103 papers) and earthquake and tectonic studies (97 papers). The work is most often cited by research in Finance (5.1k citations), Geophysics (5.3k citations) and Economics and Econometrics (11.0k citations). Didier Sornette has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Wei‐Xing Zhou, Anders Johansen, Agnès Helmstetter, A. Sornette, Guy Ouillon, Yannick Malevergne, C. Vanneste, C. G. Sammis, Riley Crane and А. И. Саичев. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.