Juan‐Pablo Ortega

2.3k citations
80 papers · 1.1k indexed · h-index 19
Topics
Neural Networks and Reservoir Computing (17 papers)Financial Risk and Volatility Modeling (15 papers)Quantum chaos and dynamical systems (13 papers)

In The Last Decade

Juan‐Pablo Ortega

74 papers receiving 1000 citations

Peers

Juan‐Pablo Ortega
Comparison fields: 5 of 90
  • Statistical and Nonlinear Physics 376
  • Mathematical Physics 290
  • Geometry and Topology 289
  • Artificial Intelligence 204
  • Finance 145
Replace Stefano Marmi with:
Stefano Marmi Italy
Harold R. Parks United States
Wolfgang M. Schmidt Germany
Gerhard Keller Germany
Alexander K. Zvonkin France
Nobuaki Obata Japan
Salomon Bochner United States
Philippe Bougerol France
Frank Hansen Denmark
I. P. Cornfeld
Juan‐Pablo Ortega relative to Stefano Marmi Italy Stefano Marmi's profile →
Citations per field
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Stefano Marmi · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 1
3 1
4 1
5 3
6 2
7 3
8
Risk Bounds for Reservoir Computing
3
9 25
10 10
11 3
12 35
13 3
14 4
15
Poisson reduction
1
16 18
17 15
18 8
19 9
20 8

About Juan‐Pablo Ortega

Juan‐Pablo Ortega is a scholar working on Geometry and Topology, Finance and Mathematical Physics, having authored 80 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (17 papers), Financial Risk and Volatility Modeling (15 papers) and Quantum chaos and dynamical systems (13 papers). The work is most often cited by research in Geometry and Topology (289 citations), Mathematical Physics (290 citations) and Statistical and Nonlinear Physics (376 citations). Juan‐Pablo Ortega has collaborated with scholars based in France, Switzerland and Singapore. Frequent co-authors include Tudor S. Raţiu, Lyudmila Grigoryeva, Vı́ctor Planas-Bielsa, Alexandru Badescu, Julie Henriques, Gerard Misiołek, Jerrold E. Marsden, Matthew Perlmutter, Laurent Larger and Lukas Gonon. Their work appears in journals such as PLoS ONE, Journal of Neurophysiology and Scientific Reports.

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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