John Jakeman

3.1k total citations
57 papers, 1.2k citations indexed

About

John Jakeman is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, John Jakeman has authored 57 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Statistics, Probability and Uncertainty, 14 papers in Civil and Structural Engineering and 13 papers in Statistical and Nonlinear Physics. Recurrent topics in John Jakeman's work include Probabilistic and Robust Engineering Design (39 papers), Advanced Multi-Objective Optimization Algorithms (12 papers) and Structural Health Monitoring Techniques (12 papers). John Jakeman is often cited by papers focused on Probabilistic and Robust Engineering Design (39 papers), Advanced Multi-Objective Optimization Algorithms (12 papers) and Structural Health Monitoring Techniques (12 papers). John Jakeman collaborates with scholars based in United States, Australia and Italy. John Jakeman's co-authors include Michael Eldred, Dongbin Xiu, Akil Narayan, Alex Gorodetsky, Gianluca Geraci, Khachik Sargsyan, Tao Tang, Timothy Wildey, Troy Butler and Tong Qin and has published in prestigious journals such as Water Resources Research, Journal of Computational Physics and IEEE Access.

In The Last Decade

John Jakeman

56 papers receiving 1.1k citations

Peers

Countries citing papers authored by John Jakeman

Since Specialization

Citations

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

Fields of papers citing papers by John Jakeman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Jakeman

This figure shows the co-authorship network connecting the top 25 collaborators of John Jakeman. A scholar is included among the top collaborators of John Jakeman 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 John Jakeman. John Jakeman 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	Boosting efficiency and reducing graph reliance: Basis adaptation integration in Bayesian multi-fidelity networks 2025 ·Computer Methods in Applied Mechanics and Engineering ·Xiaoshu Zeng, Gianluca Geraci, Alex Gorodetsky, John Jakeman, Roger Ghanem	2
2	Probabilistic projections of the Amery Ice Shelf catchment, Antarctica, under conditions of high ice-shelf basal melt 2024 ·The cryosphere ·(unknown), Matthew J. Hoffman, Nathan M. Urban, (unknown), Mauro Perego, Stephen Price, John Jakeman	1
3	Multifidelity uncertainty quantification with models based on dissimilar parameters 2023 ·Computer Methods in Applied Mechanics and Engineering ·Xiaoshu Zeng, Gianluca Geraci, Michael Eldred, John Jakeman, Alex Gorodetsky, Roger Ghanem	15
4	Epistemic Uncertainty-Aware Barlow Twins Reduced Order Modeling for Nonlinear Contact Problems 2023 ·IEEE Access ·Teeratorn Kadeethum, John Jakeman, Youngsoo Choi, Nikolaos Bouklas, Hongkyu Yoon	2
5	PyApprox: A software package for sensitivity analysis, Bayesian inference, optimal experimental design, and multi-fidelity uncertainty quantification and surrogate modeling 2023 ·Environmental Modelling & Software ·John Jakeman	3
6	PyApprox: Approximation and Probabilistic Analysis of Data. 2022 ·OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·John Jakeman	2
7	Surrogate modeling for efficiently, accurately and conservatively estimating measures of risk 2022 ·Reliability Engineering & System Safety ·John Jakeman, Drew Kouri, (unknown)	10
8	Risk-Adapted Optimal Experimental Design 2022 ·SIAM/ASA Journal on Uncertainty Quantification ·Drew Kouri, John Jakeman, (unknown)	3
9	Adaptive experimental design for multi‐fidelity surrogate modeling of multi‐disciplinary systems 2022 ·International Journal for Numerical Methods in Engineering ·John Jakeman, Sam Friedman, Michael Eldred, Lorenzo Tamellini, Alex Gorodetsky, (unknown)	9
10	MFNETS: Multi-Fidelity Data-Driven Networks for Data Analysis. 2021 ·OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·John Jakeman, Alex Gorodetsky, Michael Eldred, Gianluca Geraci, (unknown)	1
11	Modeling Water Quality in Watersheds: From Here to the Next Generation 2020 ·Water Resources Research ·Baihua Fu, Jeffery S. Horsburgh, Anthony J. Jakeman, Carlo Gualtieri, (unknown), Lucy Marshall, Timothy R. Green, Nigel W.T. Quinn, Martin Völk, Randall J. Hunt, Luca Vezzaro, Barry Croke, John Jakeman, Val Snow, Brenda Rashleigh	68
12	Optimal experimental design for prediction based on push-forward probability measures 2020 ·Journal of Computational Physics ·Troy Butler, John Jakeman, Timothy Wildey	7
13	A generalized approximate control variate framework for multifidelity uncertainty quantification 2020 ·Journal of Computational Physics ·Alex Gorodetsky, Gianluca Geraci, Michael Eldred, John Jakeman	75
14	Polynomial chaos expansions for dependent random variables 2019 ·Computer Methods in Applied Mechanics and Engineering ·John Jakeman, (unknown), Akil Narayan, Michael Eldred, (unknown)	59
15	Adaptive multi‐index collocation for uncertainty quantification and sensitivity analysis 2019 ·International Journal for Numerical Methods in Engineering ·John Jakeman, Michael Eldred, Gianluca Geraci, Alex Gorodetsky	30
16	Generation and application of multivariate polynomial quadrature rules 2018 ·Computer Methods in Applied Mechanics and Engineering ·John Jakeman, Akil Narayan	12
17	Gradient-based optimization for regression in the functional tensor-train format 2018 ·Journal of Computational Physics ·Alex Gorodetsky, John Jakeman	23
18	Enhancingℓ1-minimization estimates of polynomial chaos expansions using basis selection 2015 ·Journal of Computational Physics ·John Jakeman, Michael Eldred, Khachik Sargsyan	117
19	Enhancing adaptive sparse grid approximations and improving refinement strategies using adjoint-based a posteriori error estimates 2014 ·Journal of Computational Physics ·John Jakeman, Timothy Wildey	11
20	Developments in integrated environmental assessment 2007 ·Elsevier eBooks ·John Jakeman	23

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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