David Higdon

8.0k total citations · 3 hit papers
71 papers, 5.3k citations indexed

About

David Higdon is a scholar working on Artificial Intelligence, Astronomy and Astrophysics and Statistics and Probability. According to data from OpenAlex, David Higdon has authored 71 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 14 papers in Astronomy and Astrophysics and 13 papers in Statistics and Probability. Recurrent topics in David Higdon's work include Gaussian Processes and Bayesian Inference (13 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Galaxies: Formation, Evolution, Phenomena (9 papers). David Higdon is often cited by papers focused on Gaussian Processes and Bayesian Inference (13 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Galaxies: Formation, Evolution, Phenomena (9 papers). David Higdon collaborates with scholars based in United States, Canada and United Kingdom. David Higdon's co-authors include Julian Besag, Roger Ghanem, Houman Owhadi, Kerrie Mengersen, Peter Green, Katrin Heitmann, Salman Habib, Cajo J. F. ter Braak, Cees Diks and B.A. Robinson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of Geophysical Research Atmospheres.

In The Last Decade

David Higdon

71 papers receiving 5.1k 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.

Accelerating Markov Chain Monte Carlo Simulation by Differential Evolution with Self-Adaptive Randomized Subspace Sampling

2009 888 citations David Higdon et al. profile →
Bayesian Computation and Stochastic Systems

1995 669 citations Julian Besag, David Higdon et al. Statistical Science profile →
Handbook of Uncertainty Quantification

2016 480 citations David Higdon et al. profile →

Peers

Countries citing papers authored by David Higdon

Since Specialization

Citations

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

Fields of papers citing papers by David Higdon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Higdon

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Towards Improved Uncertainty Quantification of Stochastic Epidemic Models Using Sequential Monte Carlo 2024 ·(unknown), (unknown), Nicholson Collier, Kok Ben Toh, (unknown), Anna Hotton, (unknown), David Higdon, Jonathan Ozik	2
2	Thermal prediction of additive friction stir deposition through Bayesian learning- enabled explainable artificial intelligence 2023 ·Journal of Manufacturing Systems ·Yunhui Zhu, Xiaofeng Wu, Nikhil Gotawala, David Higdon, Hang Z. Yu	23
3	Using simulation to handle implicit likelihoods in a Bayesian analysis 2021 ·Quality Engineering ·Michael S. Hamada, (unknown), Nicolas Hengartner, David Higdon, Aparna V. Huzurbazar, Earl Lawrence, Crystal D. Linkletter, C. Shane Reese, (unknown), R. R. Sitter, (unknown), Brian J. Williams	1
4	Gridded uncertainty in fossil fuel carbon dioxide emission maps, a CDIAC example 2016 ·Atmospheric chemistry and physics ·R. J. Andres, Thomas A. Boden, David Higdon	65
5	Approximate models for the ion-kinetic regime in inertial-confinement-fusion capsule implosions 2015 ·Physics of Plasmas ·N. M. Hoffman, G. B. Zimmerman, Kim Molvig, H. G. Rinderknecht, M. J. Rosenberg, B. J. Albright, Andrei N. Simakov, H. Sio, A. B. Zylstra, M. Gatu Johnson, F. H. Séguin, J. A. Frenje, C. K. Li, R. D. Petrasso, David Higdon, G. Srinivasan, (unknown), C. Stöeckl, W. Seka, T. C. Sangster	38
6	Towards an in silico Experimental Platform for Air Quality: Houston, TX as a Case Study 2015 ·VTechWorks (Virginia Tech) ·(unknown), Gizem Korkmaz, Katherine B. Ensor, David Higdon, Sallie Keller‐McNulty, Bryan Lewis, (unknown)	2
7	Uncertainty Quantification for Nuclear Density Functional Theory and Information Content of New Measurements 2015 ·Physical Review Letters ·Jordan McDonnell, N. Schunck, David Higdon, J. Sarich, Stefan M. Wild, W. Nazarewicz	89
8	Specification of the Ionosphere-Thermosphere Environment Using Ensemble Kalman Filter with Orthogonal Transformations 2014 ·2014 AGU Fall Meeting ·H. C. Godinez, Earl Lawrence, David Higdon, Andrew Walker, Richard Linares, A. J. Ridley, J. Koller, (unknown)	2
9	Atmospheric Density Specification with the Global Ionosphere-Thermosphere Model (GITM) using the Ensemble Kalman Filter 2012 ·AGU Fall Meeting Abstracts ·H. C. Godinez, (unknown), A. J. Ridley, J. Koller, Earl Lawrence, David Higdon	2
10	IMPACT: Integrated Modeling of Perturbations in Atmospheres for Conjunction Tracking 2011 ·AGU Fall Meeting Abstracts ·J. Koller, S. Brennan, (unknown), David Higdon, A. Klimenko, B. Larsen, Earl Lawrence, Richard Linares, Craig McLaughlin, Piyush M. Mehta, (unknown), (unknown), (unknown), (unknown), (unknown), E. K. Sutton, Brendt Wohlberg	1
11	Nonparametric reconstruction of the dark energy equation of state from diverse data sets 2011 ·Physical review. D. Particles, fields, gravitation, and cosmology ·Tracy Holsclaw, Ujjaini Alam, Bruno Sansó, (unknown), Katrin Heitmann, Salman Habib, David Higdon	70
12	CosmicEmu: Cosmic Emulator for the Dark Matter Power Spectrum 2010 ·ascl ·Earl Lawrence, Katrin Heitmann, M. J. White, David Higdon, Christian Wagner, Salman Habib, Brian Williams	1
13	Validation of 3D Seismic Velocity Models Using the Spectral Element Method 2010 ·AGU Fall Meeting Abstracts ·Mónica Maceira, Carène Larmat, Robert Porritt, David Higdon, R. M. Allen	2
14	Nonparametric Dark Energy Reconstruction from Supernova Data 2010 ·Physical Review Letters ·Tracy Holsclaw, Ujjaini Alam, Bruno Sansó, Herbert Lee, Katrin Heitmann, Salman Habib, David Higdon	140
15	Precision Determination Of The Nonlinear Matter Power Spectrum 2008 ·OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·Katrin Heitmann, Salman Habib, David Higdon, Martin White, Christian Wagner	1
16	Nonlinear and Nonequilibrium Dynamics in Geomaterials 2004 ·Physical Review Letters ·James A. TenCate, Donatella Pasqualini, Salman Habib, Katrin Heitmann, David Higdon, Paul A. Johnson	98
17	Multiscale Data Integration Using Markov Random Fields 2002 ·SPE Reservoir Evaluation & Engineering ·Sang‐Heon Lee, Adel Malallah, Akhil Datta‐Gupta, David Higdon	16
18	Multiscale Data Integration Using Markov Random Fields 2000 ·SPE Annual Technical Conference and Exhibition ·Sang‐Heon Lee, Adel Malallah, Akhil Datta‐Gupta, David Higdon	9
19	Fully Bayesian estimation of Gibbs hyperparameters for emission computed tomography data 1997 ·IEEE Transactions on Medical Imaging ·David Higdon, J.E. Bowsher, Valen E. Johnson, Timothy G. Turkington, D.R. Gilland, R.J. Jaszczak	85
20	Bayesian compoutation and stochastic systems 1995 ·Statistical Science ·Julian Besag, Peter J. Green, David Higdon, Kerrie Mengersen	30

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.

Explore authors with similar magnitude of impact