Benoîte de Saporta

482 total citations
26 papers, 236 citations indexed

About

Benoîte de Saporta is a scholar working on Statistics and Probability, Mathematical Physics and Finance. According to data from OpenAlex, Benoîte de Saporta has authored 26 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistics and Probability, 8 papers in Mathematical Physics and 8 papers in Finance. Recurrent topics in Benoîte de Saporta's work include Stochastic processes and statistical mechanics (8 papers), Stochastic processes and financial applications (6 papers) and Advanced Queuing Theory Analysis (5 papers). Benoîte de Saporta is often cited by papers focused on Stochastic processes and statistical mechanics (8 papers), Stochastic processes and financial applications (6 papers) and Advanced Queuing Theory Analysis (5 papers). Benoîte de Saporta collaborates with scholars based in France, Brazil and Australia. Benoîte de Saporta's co-authors include Anne Gégout‐Petit, François Dufour, Eduardo F. Costa, Jianfeng Yao, Bernard Bercu, Yves Guivarc’h, Émile Le Page, Huilong Zhang, Bertrand Cloez and Amaury Nègre and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Automatic Control.

In The Last Decade

Benoîte de Saporta

26 papers receiving 231 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benoîte de Saporta France 10 83 70 67 51 25 26 236
C. C. Y. Dorea Brazil 9 67 0.8× 59 0.8× 34 0.5× 26 0.5× 83 3.3× 44 234
Chunrong Feng United Kingdom 9 23 0.3× 135 1.9× 62 0.9× 85 1.7× 12 0.5× 24 249
V. S. Korolyuk Ukraine 9 56 0.7× 107 1.5× 140 2.1× 36 0.7× 47 1.9× 70 395
В. С. Королюк Ukraine 7 35 0.4× 88 1.3× 91 1.4× 22 0.4× 15 0.6× 24 241
Ken-ichi Yoshihara Japan 9 142 1.7× 156 2.2× 82 1.2× 21 0.4× 62 2.5× 37 349
Hock Peng Chan Singapore 11 104 1.3× 47 0.7× 26 0.4× 9 0.2× 71 2.8× 26 231
Mathieu Rosenbaum France 10 92 1.1× 240 3.4× 37 0.6× 17 0.3× 35 1.4× 33 417
Hajime Yamato Japan 9 222 2.7× 61 0.9× 61 0.9× 33 0.6× 192 7.7× 42 329
Hans Rudolf Lerche Germany 11 67 0.8× 188 2.7× 71 1.1× 6 0.1× 19 0.8× 19 318
Jean‐Marie Rolin Belgium 9 108 1.3× 24 0.3× 14 0.2× 18 0.4× 56 2.2× 14 225

Countries citing papers authored by Benoîte de Saporta

Since Specialization
Citations

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

Fields of papers citing papers by Benoîte de Saporta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benoîte de Saporta. 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 Benoîte de Saporta. The network helps show where Benoîte de Saporta may publish in the future.

Co-authorship network of co-authors of Benoîte de Saporta

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

All Works

20 of 20 papers shown
1.
Saporta, Benoîte de, et al.. (2024). A Monte-Carlo planning strategy for medical follow-up optimization: Illustration on multiple myeloma data. PLoS ONE. 19(12). e0315661–e0315661. 1 indexed citations
2.
Cloez, Bertrand, et al.. (2021). Long-time behavior and Darwinian optimality for an asymmetric size-structured branching process. Journal of Mathematical Biology. 83(6-7). 69–69. 4 indexed citations
3.
Cloez, Bertrand, et al.. (2018). Optimal stopping for measure-valued piecewise deterministic Markov\n processes. arXiv (Cornell University). 2 indexed citations
4.
Costa, Eduardo F. & Benoîte de Saporta. (2017). Linear Minimum Mean Square Filters for Markov Jump Linear Systems. IEEE Transactions on Automatic Control. 62(7). 3567–3572. 7 indexed citations
5.
Saporta, Benoîte de, et al.. (2016). Optimal strategies for impulse control of piecewise deterministic Markov\n processes. arXiv (Cornell University). 6 indexed citations
6.
Saporta, Benoîte de & Eduardo F. Costa. (2015). Approximate Kalman-Bucy Filter for Continuous-Time Semi-Markov Jump Linear Systems. IEEE Transactions on Automatic Control. 61(8). 2035–2048. 17 indexed citations
7.
Saporta, Benoîte de, et al.. (2014). Random coefficients bifurcating autoregressive processes. Springer Link (Chiba Institute of Technology). 7 indexed citations
8.
Gégout‐Petit, Anne, et al.. (2013). Maintenance Optimisation of Optronic Equipment. SHILAP Revista de lepidopterología. 1 indexed citations
9.
Saporta, Benoîte de, et al.. (2013). Optimal stopping for partially observed piecewise-deterministic Markov processes. Stochastic Processes and their Applications. 123(8). 3201–3238. 6 indexed citations
10.
Saporta, Benoîte de, et al.. (2012). Numerical method for expectations of piecewise deterministic Markov processes. Project Euclid (Cornell University). 7(1). 63–104. 6 indexed citations
11.
Saporta, Benoîte de, et al.. (2012). Numerical Methods for the Exit Time of a Piecewise-Deterministic Markov Process. Advances in Applied Probability. 44(1). 196–225. 9 indexed citations
12.
Saporta, Benoîte de, et al.. (2012). Numerical Methods for the Exit Time of a Piecewise-Deterministic Markov Process. Advances in Applied Probability. 44(1). 196–225. 4 indexed citations
13.
Saporta, Benoîte de, et al.. (2011). Parameters estimation for asymmetric bifurcating autoregressive processes with missing data. Electronic Journal of Statistics. 5(none). 15 indexed citations
14.
Saporta, Benoîte de, et al.. (2011). Optimal stopping for the predictive maintenance of a structure subject to corrosion. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 226(2). 169–181. 10 indexed citations
15.
Saporta, Benoîte de, et al.. (2009). Numerical method for optimal stopping of piecewise deterministic Markov processes. 15 indexed citations
16.
Bercu, Bernard, Benoîte de Saporta, & Anne Gégout‐Petit. (2009). Asymptotic Analysis for Bifurcating AutoRegressive Processes via a Martingale Approach. Electronic Journal of Probability. 14(none). 25 indexed citations
17.
Saporta, Benoîte de. (2005). Tail of the stationary solution of the stochastic equation Yn+1=anYn+bn with Markovian coefficients. Stochastic Processes and their Applications. 115(12). 1954–1978. 32 indexed citations
18.
Saporta, Benoîte de, Yves Guivarc’h, & Émile Le Page. (2004). On the multidimensional stochastic equation Y n + 1 = A n Y n + B n . Comptes Rendus Mathématique. 339(7). 499–502. 15 indexed citations
19.
Saporta, Benoîte de. (2004). Tail of the stationary solution of the stochastic equation Y n + 1 = a n Y n + b n with Markovian coefficients. Comptes Rendus Mathématique. 340(1). 55–58. 3 indexed citations
20.
Saporta, Benoîte de & Jianfeng Yao. (2004). Tail of a linear diffusion with Markov switching. Comptes Rendus Mathématique. 339(9). 643–646. 19 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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