Raúl Tempone

8.2k total citations · 3 hit papers
137 papers, 5.0k citations indexed

About

Raúl Tempone is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Numerical Analysis. According to data from OpenAlex, Raúl Tempone has authored 137 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Statistics, Probability and Uncertainty, 25 papers in Statistics and Probability and 24 papers in Numerical Analysis. Recurrent topics in Raúl Tempone's work include Probabilistic and Robust Engineering Design (64 papers), Mathematical Approximation and Integration (20 papers) and Advanced Numerical Methods in Computational Mathematics (18 papers). Raúl Tempone is often cited by papers focused on Probabilistic and Robust Engineering Design (64 papers), Mathematical Approximation and Integration (20 papers) and Advanced Numerical Methods in Computational Mathematics (18 papers). Raúl Tempone collaborates with scholars based in Saudi Arabia, Germany and United States. Raúl Tempone's co-authors include Fabio Nobile, Ivo Babuška, Clayton Webster, Georgios E. Zouraris, Lorenzo Tamellini, Quan Long, Anders Szepessy, Erik von Schwerin, Joakim Beck and Kody J. H. Law and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Computational Physics.

In The Last Decade

Raúl Tempone

122 papers receiving 4.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data

2007 973 citations Fabio Nobile, Raúl Tempone et al. profile →
A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data

2008 668 citations Fabio Nobile, Raúl Tempone et al. profile →
Galerkin Finite Element Approximations of Stochastic Elliptic Partial Differential Equations

2004 605 citations Raúl Tempone et al. profile →

Peers

Countries citing papers authored by Raúl Tempone

Since Specialization

Citations

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

Fields of papers citing papers by Raúl Tempone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raúl Tempone

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Unbiased parameter estimation for bayesian inverse problems 2025 ·Statistics and Computing ·(unknown), (unknown), (unknown), Raúl Tempone	0
2	Approximating Hessian matrices using Bayesian inference: a new approach for quasi-Newton methods in stochastic optimization 2024 ·Optimization methods & software ·(unknown), Luis Espath, Raúl Tempone	0
3	Laplace-based strategies for Bayesian optimal experimental design with nuisance uncertainty 2024 ·Statistics and Computing ·(unknown), Luis Espath, Raúl Tempone	0
4	Multilevel Monte Carlo with Numerical Smoothing for Robust and Efficient Computation of Probabilities and Densities 2024 ·SIAM Journal on Scientific Computing ·Christian Bayer, (unknown), Raúl Tempone	1
5	Lagrangian relaxation for continuous‐time optimal control of coupled hydrothermal power systems including storage capacity and a cascade of hydropower systems with time delays 2024 ·Optimal Control Applications and Methods ·(unknown), (unknown), Erik von Schwerin, Raúl Tempone	1
6	Modeling Metallic Fatigue Data Using the Birnbaum–Saunders Distribution 2024 ·Metals ·(unknown), (unknown), Raúl Tempone	4
7	State-dependent importance sampling for estimating expectations of functionals of sums of independent random variables 2023 ·Statistics and Computing ·(unknown), (unknown), (unknown), Raúl Tempone	3
8	Goal-oriented adaptive finite element multilevel Monte Carlo with convergence rates 2022 ·Computer Methods in Applied Mechanics and Engineering ·Joakim Beck, (unknown), Erik von Schwerin, Raúl Tempone	4
9	Efficient importance sampling for large sums of independent and identically distributed random variables 2021 ·King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) ·(unknown), (unknown), Gerardo Rubino, Raúl Tempone	8
10	A Universal Splitting Estimator for the Performance Evaluation of Wireless Communications Systems 2020 ·UNSWorks (University of New South Wales, Sydney, Australia) ·(unknown), (unknown), Zdravko I. Botev, Raúl Tempone, Mohamed‐Slim Alouini	2
11	MULTILEVEL ENSEMBLE KALMAN FILTERING FOR SPATIO-TEMPORAL PROCESSES 2020 ·Research Explorer (The University of Manchester) ·Kody J. H. Law, (unknown), Raúl Tempone, Fabio Nobile, Alexey Chernov	13
12	Nesterov-aided stochastic gradient methods using Laplace approximation for Bayesian design optimization 2020 ·Repository@Nottingham (University of Nottingham) ·(unknown), (unknown), Luis Espath, Rafael Holdorf Lopez, Raúl Tempone	21
13	Quantifying Uncertainty with a Derivative Tracking SDE Model and\n Application to Wind Power Forecast Data 2020 ·arXiv (Cornell University) ·(unknown), (unknown), (unknown), Raúl Tempone	5
14	Importance sampling for a robust and efficient multilevel Monte Carlo estimator for stochastic reaction networks 2019 ·arXiv (Cornell University) ·(unknown), (unknown), Raúl Tempone	8
15	On the Sum of Order Statistics and Applications to Wireless Communication Systems Performances 2019 ·King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) ·(unknown), Zdravko I. Botev, Abla Kammoun, Mohamed‐Slim Alouini, Raúl Tempone	5
16	Hierarchical adaptive sparse grids and quasi Monte Carlo for option pricing under the rough Bergomi model 2019 ·King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) ·(unknown), Christian Bayer, Raúl Tempone	4
17	Ensemble-marginalized Kalman filter for linear time-dependent PDEs with noisy boundary conditions: application to heat transfer in building walls 2018 ·Inverse Problems ·Marco Iglesias, (unknown), (unknown), Raúl Tempone, Christopher J. Wood	7
18	Bayesian inferences of the thermal properties of a wall using temperature and heat flux measurements 2017 ·International Journal of Heat and Mass Transfer ·Marco Iglesias, (unknown), (unknown), Raúl Tempone, Christopher J. Wood	17
19	A Laplace method for under-determined Bayesian optimal experimental designs 2014 ·Computer Methods in Applied Mechanics and Engineering ·Quan Long, (unknown), Raúl Tempone, Suojin Wang	18
20	Convergence of quasi-optimal Stochastic Galerkin Methods for a class of PDES with random coefficients 2013 ·UCL Discovery (University College London) ·Joakim Beck, Fabio Nobile, Lorenzo Tamellini, Raúl Tempone	0

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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