Juan‐Pablo Ortega

2.3k total citations
80 papers, 1.1k citations indexed

About

Juan‐Pablo Ortega is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Finance. According to data from OpenAlex, Juan‐Pablo Ortega has authored 80 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistical and Nonlinear Physics, 20 papers in Artificial Intelligence and 19 papers in Finance. Recurrent topics in Juan‐Pablo Ortega's work include Neural Networks and Reservoir Computing (17 papers), Financial Risk and Volatility Modeling (15 papers) and Quantum chaos and dynamical systems (13 papers). Juan‐Pablo Ortega is often cited by papers focused on Neural Networks and Reservoir Computing (17 papers), Financial Risk and Volatility Modeling (15 papers) and Quantum chaos and dynamical systems (13 papers). Juan‐Pablo Ortega collaborates with scholars based in France, Switzerland and Singapore. Juan‐Pablo Ortega's co-authors include Tudor S. Raţiu, Lyudmila Grigoryeva, Vı́ctor Planas-Bielsa, Alexandru Badescu, Julie Henriques, Matthew Perlmutter, Jerrold E. Marsden, Laurent Larger, Gerard Misiołek and Lukas Gonon and has published in prestigious journals such as PLoS ONE, Journal of Neurophysiology and Scientific Reports.

In The Last Decade

Juan‐Pablo Ortega

74 papers receiving 1000 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan‐Pablo Ortega France 19 376 290 289 204 145 80 1.1k
Harold R. Parks United States 12 149 0.4× 295 1.0× 260 0.9× 100 0.5× 33 0.2× 37 1.3k
Alexander K. Zvonkin France 9 139 0.4× 348 1.2× 291 1.0× 248 1.2× 221 1.5× 22 1.2k
Sergey G. Bobkov United States 22 194 0.5× 479 1.7× 302 1.0× 195 1.0× 127 0.9× 81 2.0k
I. P. Cornfeld 2 789 2.1× 1.2k 4.1× 388 1.3× 123 0.6× 85 0.6× 2 2.0k
Leonard Gross United States 22 296 0.8× 1.4k 4.7× 276 1.0× 98 0.5× 272 1.9× 51 2.5k
A. M. Vershik Russia 28 308 0.8× 1.5k 5.3× 962 3.3× 283 1.4× 91 0.6× 172 2.7k
Alice Guionnet France 26 228 0.6× 1.3k 4.3× 277 1.0× 292 1.4× 81 0.6× 79 2.3k
Nobuaki Obata Japan 17 98 0.3× 553 1.9× 191 0.7× 139 0.7× 298 2.1× 101 1.2k
Srishti D. Chatterji Switzerland 10 230 0.6× 579 2.0× 496 1.7× 164 0.8× 66 0.5× 25 1.6k
Laurent Saloff‐Coste United States 23 182 0.5× 1.6k 5.5× 803 2.8× 273 1.3× 74 0.5× 80 3.1k

Countries citing papers authored by Juan‐Pablo Ortega

Since Specialization
Citations

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

Fields of papers citing papers by Juan‐Pablo Ortega

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan‐Pablo Ortega. 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 Juan‐Pablo Ortega. The network helps show where Juan‐Pablo Ortega may publish in the future.

Co-authorship network of co-authors of Juan‐Pablo Ortega

This figure shows the co-authorship network connecting the top 25 collaborators of Juan‐Pablo Ortega. A scholar is included among the top collaborators of Juan‐Pablo Ortega 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 Juan‐Pablo Ortega. Juan‐Pablo Ortega 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.
Gonon, Lukas, Lyudmila Grigoryeva, & Juan‐Pablo Ortega. (2025). Reservoir Kernels and Volterra Series. IEEE Transactions on Neural Networks and Learning Systems. PP. 1–12.
2.
Ortega, Juan‐Pablo, et al.. (2025). State-space systems as dynamic generative models. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 481(2309). 1 indexed citations
3.
Ortega, Juan‐Pablo, et al.. (2025). A Global Structure-Preserving Kernel Method for the Learning of Poisson Systems. Journal of Nonlinear Science. 35(4).
4.
Grigoryeva, Lyudmila, et al.. (2024). Data-driven cold starting of good reservoirs. Physica D Nonlinear Phenomena. 469. 134325–134325. 3 indexed citations
5.
Grigoryeva, Lyudmila, et al.. (2023). Learning strange attractors with reservoir systems. Nonlinearity. 36(9). 4674–4708. 15 indexed citations
6.
Gabriel, Damien, et al.. (2022). Three simple steps to improve the interpretability of EEG-SVM studies. Journal of Neurophysiology. 128(6). 1375–1382. 3 indexed citations
7.
Gonon, Lukas, Lyudmila Grigoryeva, & Juan‐Pablo Ortega. (2020). Risk Bounds for Reservoir Computing. Alexandria (UniSG) (University of St.Gallen). 21(240). 1–61. 3 indexed citations
8.
Badescu, Alexandru, Zhenyu Cui, & Juan‐Pablo Ortega. (2018). Closed-form variance swap prices under general affine GARCH models and their continuous-time limits. Annals of Operations Research. 282(1-2). 27–57. 25 indexed citations
9.
Grigoryeva, Lyudmila, Julie Henriques, & Juan‐Pablo Ortega. (2016). Reservoir Computing: Information Processing of Stationary Signals. 496–503. 2 indexed citations
10.
Badescu, Alexandru, Joan del Castillo, & Juan‐Pablo Ortega. (2016). Hedging of Time Discrete Auto-Regressive Stochastic Volatility Options. Annals of Economics and Statistics. 271–271. 2 indexed citations
11.
Badescu, Alexandru, Zhenyu Cui, & Juan‐Pablo Ortega. (2015). Non-Affine GARCH Option Pricing Models, Variance Dependent Kernels, and Diffusion Limits. SSRN Electronic Journal. 3 indexed citations
12.
Grigoryeva, Lyudmila, Julie Henriques, Laurent Larger, & Juan‐Pablo Ortega. (2014). Stochastic nonlinear time series forecasting using time-delay reservoir computers: Performance and universality. Neural Networks. 55. 59–71. 35 indexed citations
13.
Henriques, Julie & Juan‐Pablo Ortega. (2013). Construction, management, and performance of sparse Markowitz portfolios. Studies in Nonlinear Dynamics and Econometrics. 18(4). 383–402. 3 indexed citations
14.
Chrétien, Stéphane & Juan‐Pablo Ortega. (2012). Multivariate GARCH estimation via a Bregman-proximal trust-region method. Computational Statistics & Data Analysis. 76. 210–236. 11 indexed citations
15.
Ortega, Juan‐Pablo, et al.. (2008). A Local-to-Global Principle for Convexity in Metric Spaces. Journal of Lie theory. 18(2). 445–469. 4 indexed citations
16.
Ortega, Juan‐Pablo & Tudor S. Raţiu. (2005). Poisson reduction. arXiv (Cornell University). 1 indexed citations
17.
Ortega, Juan‐Pablo, Vı́ctor Planas-Bielsa, & Tudor S. Raţiu. (2004). Asymptotic and Lyapunov stability of constrained and Poisson equilibria. Journal of Differential Equations. 214(1). 92–127. 15 indexed citations
18.
Ortega, Juan‐Pablo. (2003). Singular dual pairs. Differential Geometry and its Applications. 19(1). 61–95. 8 indexed citations
19.
Chossat, Pascal, Debra Lewis, Juan‐Pablo Ortega, & Tudor S. Raţiu. (2003). Bifurcation of relative equilibria in mechanical systems with symmetry. Advances in Applied Mathematics. 31(1). 10–45. 9 indexed citations
20.
Ortega, Juan‐Pablo. (2002). The symplectic reduced spaces of a Poisson action. Comptes Rendus Mathématique. 334(11). 999–1004. 8 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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