Jonathan Donier

554 total citations
10 papers, 234 citations indexed

About

Jonathan Donier is a scholar working on Economics and Econometrics, Finance and Information Systems. According to data from OpenAlex, Jonathan Donier has authored 10 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Economics and Econometrics, 3 papers in Finance and 2 papers in Information Systems. Recurrent topics in Jonathan Donier's work include Complex Systems and Time Series Analysis (6 papers), Financial Markets and Investment Strategies (2 papers) and Blockchain Technology Applications and Security (2 papers). Jonathan Donier is often cited by papers focused on Complex Systems and Time Series Analysis (6 papers), Financial Markets and Investment Strategies (2 papers) and Blockchain Technology Applications and Security (2 papers). Jonathan Donier collaborates with scholars based in France and United Kingdom. Jonathan Donier's co-authors include Jean‐Philippe Bouchaud, Julius Bonart, Martin Gould, Iacopo Mastromatteo, Subeesh Vasu, Michael Benzaquen, Pierre Baqué and Pascal Fua and has published in prestigious journals such as PLoS ONE, Quantitative Finance and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

In The Last Decade

Jonathan Donier

10 papers receiving 221 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Donier France 6 156 119 34 31 25 10 234
Vladimir Filimonov Switzerland 10 248 1.6× 145 1.2× 21 0.6× 39 1.3× 70 2.8× 20 408
Julius Bonart France 7 116 0.7× 93 0.8× 9 0.3× 30 1.0× 10 0.4× 15 205
Giacomo Bormetti Italy 10 198 1.3× 270 2.3× 9 0.3× 57 1.8× 15 0.6× 46 344
Mark McDonald United Kingdom 7 282 1.8× 171 1.4× 15 0.4× 101 3.3× 19 0.8× 9 378
Stacy Williams United Kingdom 8 301 1.9× 186 1.6× 15 0.4× 123 4.0× 20 0.8× 10 413
Austin Gerig United States 8 223 1.4× 211 1.8× 6 0.2× 58 1.9× 7 0.3× 14 285
Tomoyuki Ichiba United States 10 82 0.5× 146 1.2× 3 0.1× 22 0.7× 20 0.8× 19 222
Bence Tóth France 10 253 1.6× 202 1.7× 7 0.2× 47 1.5× 6 0.2× 19 320
Julio Cacho-Diaz Netherlands 2 155 1.0× 245 2.1× 7 0.2× 22 0.7× 34 1.4× 2 341
Zvonko Kostanjčar Croatia 9 145 0.9× 83 0.7× 72 2.1× 74 2.4× 4 0.2× 34 264

Countries citing papers authored by Jonathan Donier

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jonathan Donier

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Donier. A scholar is included among the top collaborators of Jonathan Donier 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 Jonathan Donier. Jonathan Donier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Vasu, Subeesh, et al.. (2022). HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). abs 1607 5695. 617–626. 5 indexed citations
2.
Donier, Jonathan. (2019). Community-Based Cover Song Detection. Zenodo (CERN European Organization for Nuclear Research). 244–250. 1 indexed citations
3.
Bouchaud, Jean‐Philippe, Julius Bonart, Jonathan Donier, & Martin Gould. (2018). Trades, Quotes and Prices: Financial Markets Under the Microscope. CERN Document Server (European Organization for Nuclear Research). 25 indexed citations
4.
Bouchaud, Jean‐Philippe, Julius Bonart, Jonathan Donier, & Martin Gould. (2018). Trades, Quotes and Prices. Cambridge University Press eBooks. 66 indexed citations
5.
Benzaquen, Michael, Jonathan Donier, & Jean‐Philippe Bouchaud. (2016). Unravelling the Trading Invariance Hypothesis. SSRN Electronic Journal. 2 indexed citations
6.
Donier, Jonathan, et al.. (2016). Quadratic Hawkes processes for financial prices. Quantitative Finance. 17(2). 171–188. 39 indexed citations
7.
Donier, Jonathan & Jean‐Philippe Bouchaud. (2015). Why Do Markets Crash? Bitcoin Data Offers Unprecedented Insights. PLoS ONE. 10(10). e0139356–e0139356. 44 indexed citations
8.
Donier, Jonathan, Julius Bonart, Iacopo Mastromatteo, & Jean‐Philippe Bouchaud. (2015). A fully consistent, minimal model for non-linear market impact. Quantitative Finance. 15(7). 1109–1121. 39 indexed citations
9.
Donier, Jonathan & Jean‐Philippe Bouchaud. (2015). From Walras' Auctioneer to Continuous Time Double Auctions: A General Dynamic Theory of Supply and Demand. SSRN Electronic Journal. 2 indexed citations
10.
Donier, Jonathan & Julius Bonart. (2014). A Million Metaorder Analysis of Market Impact on the Bitcoin. SSRN Electronic Journal. 11 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.

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