Sullivan Hué

434 total citations · 1 hit paper
5 papers, 262 citations indexed

About

Sullivan Hué is a scholar working on Finance, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Sullivan Hué has authored 5 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Finance, 2 papers in Artificial Intelligence and 2 papers in Statistics and Probability. Recurrent topics in Sullivan Hué's work include Financial Risk and Volatility Modeling (1 paper), Philosophy and History of Science (1 paper) and Advanced Causal Inference Techniques (1 paper). Sullivan Hué is often cited by papers focused on Financial Risk and Volatility Modeling (1 paper), Philosophy and History of Science (1 paper) and Advanced Causal Inference Techniques (1 paper). Sullivan Hué collaborates with scholars based in France and United States. Sullivan Hué's co-authors include Sessi Tokpavi, Christophe Hurlin, Elena Dumitrescu, Yannick Lucotte, Christophe Pérignon, Lu Yang, Sébastien Laurent and Emmanuel Flachaire and has published in prestigious journals such as European Journal of Operational Research, Journal of Economic Dynamics and Control and Oxford Bulletin of Economics and Statistics.

In The Last Decade

Sullivan Hué

3 papers receiving 248 citations

Hit Papers

Machine learning for credit scoring: Improving logistic r... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sullivan Hué France 3 125 120 69 48 22 5 262
Elena Dumitrescu France 4 124 1.0× 116 1.0× 72 1.0× 49 1.0× 26 1.2× 6 266
Sessi Tokpavi France 6 131 1.0× 120 1.0× 199 2.9× 176 3.7× 48 2.2× 17 435
David Veganzones France 7 224 1.8× 150 1.3× 62 0.9× 31 0.6× 46 2.1× 15 299
Sebastian Klaudiusz Tomczak Poland 7 223 1.8× 177 1.5× 72 1.0× 43 0.9× 39 1.8× 17 343
Niklas Bussmann Italy 4 144 1.2× 188 1.6× 75 1.1× 65 1.4× 78 3.5× 5 359
Marcos Machado Netherlands 5 64 0.5× 80 0.7× 17 0.2× 22 0.5× 24 1.1× 20 240
Dimitri Marinelli Italy 6 144 1.2× 204 1.7× 90 1.3× 78 1.6× 96 4.4× 8 419
Peter Martey Addo France 5 122 1.0× 109 0.9× 73 1.1× 64 1.3× 35 1.6× 9 253
Iván Pastor Sanz Spain 8 141 1.1× 85 0.7× 86 1.2× 49 1.0× 47 2.1× 23 308
João A. Bastos Portugal 8 126 1.0× 51 0.4× 167 2.4× 110 2.3× 30 1.4× 14 295

Countries citing papers authored by Sullivan Hué

Since Specialization
Citations

This map shows the geographic impact of Sullivan Hué'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 Sullivan Hué with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sullivan Hué more than expected).

Fields of papers citing papers by Sullivan Hué

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sullivan Hué. 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 Sullivan Hué. The network helps show where Sullivan Hué may publish in the future.

Co-authorship network of co-authors of Sullivan Hué

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

All Works

5 of 5 papers shown
1.
Hué, Sullivan, Christophe Hurlin, & Lu Yang. (2024). Backtesting Expected Shortfall: Accounting for Both Duration and Severity with Bivariate Orthogonal Polynomials. SSRN Electronic Journal.
2.
Flachaire, Emmanuel, et al.. (2023). Interpretable Machine Learning Using Partial Linear Models*. Oxford Bulletin of Economics and Statistics. 86(3). 519–540.
3.
Hué, Sullivan, et al.. (2022). Explainable Performance. SSRN Electronic Journal. 2 indexed citations
4.
Dumitrescu, Elena, Sullivan Hué, Christophe Hurlin, & Sessi Tokpavi. (2021). Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects. European Journal of Operational Research. 297(3). 1178–1192. 228 indexed citations breakdown →
5.
Hué, Sullivan, Yannick Lucotte, & Sessi Tokpavi. (2018). Measuring network systemic risk contributions: A leave-one-out approach. Journal of Economic Dynamics and Control. 100. 86–114. 32 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026