Jonathan Donier
Impact in
- Finance top 5%
- Financial Markets and Investment Strategies
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
- Economics and Econometrics top 5%
- Complex Systems and Time Series Analysis
Papers in
- Finance 10
- Financial Markets and Investment Strategies 9
- Stochastic processes and financial applications 2
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- Complex Systems and Time Series Analysis 5
- Co-authors
- Jean‐Philippe Bouchaud (9 shared papers)Julius Bonart (5 shared papers)Martin David Gould (3 shared papers)Iacopo Mastromatteo (1 shared paper)Michael Benzaquen (1 shared paper)Pascal Fua (1 shared paper)Pierre Baqué (1 shared paper)
- Journals
- Quantitative Finance (2 papers)PLoS ONE (1 paper)Journal of Statistical Mechanics Theory and Experiment (1 paper)International Conference on 3D Vision (3DV) (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)
- Partner nations
- FranceUnited KingdomSwitzerland
In The Last Decade
Jonathan Donier
11 papers receiving 297 citations
Peers
Comparison fields: 5 of 27
- Finance 184
- Economics and Econometrics 120
- Management Science and Operations Research 28
- Mathematical Physics 13
- Statistical and Nonlinear Physics 11
Countries citing papers authored by Jonathan Donier
This map shows the geographic impact of Jonathan Donier'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 Jonathan Donier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Donier more than expected).
Fields of papers citing papers by Jonathan Donier
This network shows the impact of papers produced by Jonathan Donier. 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 Jonathan Donier. The network helps show where Jonathan Donier may publish in the future.
Co-authors
The 7 scholars most cited alongside Jonathan Donier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 78 | |
| 2 | 2015 | 51 | |
| 3 | 2016 | 47 | |
| 4 | 2015 | 46 | |
| 5 | 2018 | 32 | |
| 6 | 2015 | 28 | |
| 7 | 2016 | 12 | |
| 8 | 2016 | 8 | |
| 9 | 2022 | 7 | |
| 10 | 2015 | 1 | |
| 11 | 2019 | 1 | |
| 12 | 2018 | 0 |
About Jonathan Donier
Jonathan Donier is a scholar working on Finance, Economics and Econometrics, Signal Processing, Computational Mechanics and Nuclear Energy and Engineering, having authored 12 papers that have together received 311 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (9 papers), Complex Systems and Time Series Analysis (5 papers), Stochastic processes and financial applications (2 papers), Music and Audio Processing (1 paper) and 3D Shape Modeling and Analysis (1 paper). The work is most often cited by research in Finance (184 citations), Economics and Econometrics (120 citations), Management Science and Operations Research (28 citations), Mathematical Physics (13 citations) and Statistical and Nonlinear Physics (11 citations). Jonathan Donier has collaborated with scholars based in France, United Kingdom and Switzerland. Frequent co-authors include Jean‐Philippe Bouchaud, Julius Bonart, Martin David Gould, Iacopo Mastromatteo, Michael Benzaquen, Pascal Fua and Pierre Baqué. Their work appears in journals such as Quantitative Finance, PLoS ONE, Journal of Statistical Mechanics Theory and Experiment, International Conference on 3D Vision (3DV) and CERN Document Server (European Organization for Nuclear Research).
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.