Jonathan Donier
Impact in
- Finance top 5%
- Financial Markets and Investment Strategies
- Financial Risk and Volatility Modeling
- Stochastic processes and financial applications
- Economics and Econometrics top 5%
- Complex Systems and Time Series Analysis
- Market Dynamics and Volatility
Papers in
-
- Complex Systems and Time Series Analysis 6
- Finance 3
- Financial Markets and Investment Strategies 2
- Co-authors
- Jean‐Philippe Bouchaud (7 shared papers)Julius Bonart (4 shared papers)Martin Gould (2 shared papers)Iacopo Mastromatteo (1 shared paper)Michael Benzaquen (1 shared paper)Pascal Fua (1 shared paper)Subeesh Vasu (1 shared paper)Pierre Baqué (1 shared paper)
- Journals
- Quantitative Finance (2 papers)PLoS ONE (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)SSRN Electronic Journal (3 papers)
- Partner nations
- FranceUnited Kingdom
In The Last Decade
Jonathan Donier
10 papers receiving 221 citations
Peers
Comparison fields: 5 of 48
- Finance 119
- Economics and Econometrics 156
- Management Science and Operations Research 31
- Applied Mathematics 24
- Information Systems 34
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 8 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 | 66 | |
| 2 | 2015 | 44 | |
| 3 | 2015 | 39 | |
| 4 | 2016 | 39 | |
| 5 | 2018 | 25 | |
| 6 | 2014 | 11 | |
| 7 | 2022 | 5 | |
| 8 | 2016 | 2 | |
| 9 | 2015 | 2 | |
| 10 | 2019 | 1 |
About Jonathan Donier
Jonathan Donier is a scholar working on Economics and Econometrics, Finance, Information Systems, Computer Networks and Communications and Molecular Biology, having authored 10 papers that have together received 234 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (6 papers), Financial Markets and Investment Strategies (2 papers), Blockchain Technology Applications and Security (2 papers), 3D Shape Modeling and Analysis (1 paper), Monetary Policy and Economic Impact (1 paper), Advanced Numerical Analysis Techniques (1 paper), Nonlinear Dynamics and Pattern Formation (1 paper) and Computer Graphics and Visualization Techniques (1 paper). The work is most often cited by research in Finance (119 citations), Economics and Econometrics (156 citations), Management Science and Operations Research (31 citations), Applied Mathematics (24 citations) and Information Systems (34 citations). Jonathan Donier has collaborated with scholars based in France and United Kingdom. Frequent co-authors include Jean‐Philippe Bouchaud, Julius Bonart, Martin Gould, Iacopo Mastromatteo, Michael Benzaquen, Pascal Fua, Subeesh Vasu and Pierre Baqué. Their work appears in journals such as Quantitative Finance, PLoS ONE, Infoscience (Ecole Polytechnique Fédérale de Lausanne), Zenodo (CERN European Organization for Nuclear Research) and SSRN Electronic Journal.
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.