Jason Hales

3.5k total citations · 1 hit paper
65 papers, 1.9k citations indexed

About

Jason Hales is a scholar working on Materials Chemistry, Aerospace Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Jason Hales has authored 65 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Materials Chemistry, 54 papers in Aerospace Engineering and 22 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Jason Hales's work include Nuclear Materials and Properties (55 papers), Nuclear reactor physics and engineering (53 papers) and Nuclear and radioactivity studies (22 papers). Jason Hales is often cited by papers focused on Nuclear Materials and Properties (55 papers), Nuclear reactor physics and engineering (53 papers) and Nuclear and radioactivity studies (22 papers). Jason Hales collaborates with scholars based in United States, Italy and Germany. Jason Hales's co-authors include Stephen Novascone, R.L. Williamson, B.W. Spencer, Giovanni Pastore, Michael Tonks, Kyle Gamble, D. M. Perez, Derek Gaston, David Andrš and Richard Martineau and has published in prestigious journals such as Reliability Engineering & System Safety, Journal of Nuclear Materials and Journal of Engineering Mechanics.

In The Last Decade

Jason Hales

63 papers receiving 1.8k citations

Hit Papers

Multidimensional multiphysics simulation of nuclear fuel ... 2012 2026 2016 2021 2012 100 200 300
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.

  1. Multidimensional multiphysics simulation of nuclear fuel behavior
    2012 339 citations R.L. Williamson, Jason Hales et al. Journal of Nuclear Materials profile →

Peers

Jason Hales
Giovanni Pastore United States
Stephen Novascone United States
B.W. Spencer United States
Cody Permann United States
D. M. Perez United States
Cetin Unal United States
Hamid Aı̈t Abderrahim Belgium
Alessandro Del Nevo Italy
Konstantin Mikityuk Switzerland
Deokjung Lee South Korea
Giovanni Pastore United States
Jason Hales
Citations per year, relative to Jason Hales Jason Hales (= 1×) peers Giovanni Pastore

Countries citing papers authored by Jason Hales

Since Specialization
Citations

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

Fields of papers citing papers by Jason Hales

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Hales

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Hales. A scholar is included among the top collaborators of Jason Hales 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 Jason Hales. Jason Hales 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.
Hales, Jason, et al.. (2024). Analysis of buffer-IPyC separation in TRISO fuel particles. Annals of Nuclear Energy. 199. 110338–110338. 2 indexed citations
2.
Hales, Jason & Wen Jiang. (2024). Versatile TRISO fuel particle modeling in Bison. Nuclear Engineering and Design. 428. 113515–113515. 2 indexed citations
3.
Jiang, Wen, et al.. (2023). TRISO fuel performance analysis: Uncertainty quantification toward optimization. Nuclear Engineering and Design. 410. 112401–112401. 1 indexed citations
4.
Dhulipala, Somayajulu L. N., Yifeng Che, Wen Jiang, et al.. (2023). General Multifidelity Surrogate Models: Framework and Active-Learning Strategies for Efficient Rare Event Simulation. Journal of Engineering Mechanics. 149(12). 4 indexed citations
5.
Dhulipala, Somayajulu L. N., Zachary M. Prince, Andrew E. Slaughter, et al.. (2022). Monte Carlo Variance Reduction in MOOSE Stochastic Tools Module: Accelerating the Failure Analysis of Nuclear Reactor Technologies. 2470–2479. 1 indexed citations
6.
Toptan, Aysenur, Wen Jiang, Jason Hales, B.W. Spencer, & Stephen Novascone. (2022). Verification of Bison fission product species conservation under TRISO reactor conditions. Journal of Nuclear Materials. 573. 154105–154105. 2 indexed citations
7.
Dhulipala, Somayajulu L. N., Wen Jiang, B.W. Spencer, et al.. (2022). Accelerated statistical failure analysis of multifidelity TRISO fuel models. Journal of Nuclear Materials. 563. 153604–153604. 10 indexed citations
8.
Collin, Blaise P., Wen Jiang, Kyle Gamble, et al.. (2021). TRISO Fuel Performance Modelling with BISON. Journal of Physics Conference Series. 2048(1). 12012–12012. 9 indexed citations
9.
Gamble, Kyle, et al.. (2021). Mechanistic verification of empirical UO2 fuel fracture models. Journal of Nuclear Materials. 556. 153163–153163. 7 indexed citations
10.
Hales, Jason, Aysenur Toptan, Wen Jiang, & B.W. Spencer. (2021). Numerical evaluation of AGR-2 fission product release. Journal of Nuclear Materials. 558. 153325–153325. 9 indexed citations
11.
Toptan, Aysenur, Jason Hales, R.L. Williamson, et al.. (2020). Modeling of gap conductance for LWR fuel rods applied in the BISON code. Journal of Nuclear Science and Technology. 57(8). 963–974. 11 indexed citations
12.
Stimpson, Shane, Kevin Clarno, Roger P. Pawlowski, et al.. (2020). Coupled fuel performance calculations in VERA and demonstration on Watts Bar unit 1, cycle 1. Annals of Nuclear Energy. 145. 107554–107554. 10 indexed citations
13.
Barani, T., Giovanni Pastore, D. Pizzocri, et al.. (2019). Multiscale modeling of fission gas behavior in U3Si2 under LWR conditions. Journal of Nuclear Materials. 522. 97–110. 35 indexed citations
14.
Uffelen, P. Van, et al.. (2018). A review of fuel performance modelling. Journal of Nuclear Materials. 516. 373–412. 68 indexed citations
15.
Gamble, Kyle & Jason Hales. (2016). Preliminary Modeling of Accident Tolerant Fuel Concepts under Accident Conditions. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
16.
Spencer, B.W., R.L. Williamson, D. Shane Stafford, et al.. (2016). 3D modeling of missing pellet surface defects in BWR fuel. Nuclear Engineering and Design. 307. 155–171. 15 indexed citations
17.
Bai, Xian-Ming, Michael Tonks, Yongfeng Zhang, & Jason Hales. (2015). Multiscale modeling of thermal conductivity of high burnup structures in UO2 fuels. Journal of Nuclear Materials. 470. 208–215. 53 indexed citations
18.
Montgomery, Robert, et al.. (2014). Advanced Pellet-Cladding Interaction Modeling using the US DOE CASL Fuel Performance Code: Peregrine. Transactions of the American Nuclear Society. 110. 1 indexed citations
19.
Williamson, R.L., Javier Ortensi, Yaqi Wang, et al.. (2014). The coupling of the neutron transport application RATTLESNAKE to the nuclear fuels performance application BISON under the MOOSE framework. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 6 indexed citations
20.
Pastore, Giovanni, Jason Hales, Stephen Novascone, et al.. (2013). Analysis of fission gas release in LWR fuel using the BISON code. University of North Texas Digital Library (University of North Texas). 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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