Lori Graham‐Brady

2.5k total citations · 2 hit papers
71 papers, 1.9k citations indexed

About

Lori Graham‐Brady is a scholar working on Mechanics of Materials, Civil and Structural Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Lori Graham‐Brady has authored 71 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Mechanics of Materials, 31 papers in Civil and Structural Engineering and 23 papers in Statistics, Probability and Uncertainty. Recurrent topics in Lori Graham‐Brady's work include Probabilistic and Robust Engineering Design (23 papers), Rock Mechanics and Modeling (16 papers) and Composite Material Mechanics (16 papers). Lori Graham‐Brady is often cited by papers focused on Probabilistic and Robust Engineering Design (23 papers), Rock Mechanics and Modeling (16 papers) and Composite Material Mechanics (16 papers). Lori Graham‐Brady collaborates with scholars based in United States, Germany and Netherlands. Lori Graham‐Brady's co-authors include Anindya Bhaduri, Frank F. Xu, David J. Corr, Surendra P. Shah, Mazdak Tootkaboni, Audrey Olivier, Michael D. Shields, K.T. Ramesh, George Deodatis and Kirubel Teferra and has published in prestigious journals such as Journal of Computational Physics, Cement and Concrete Research and Journal of the American Ceramic Society.

In The Last Decade

Lori Graham‐Brady

69 papers receiving 1.8k citations

Hit Papers

Materials for extreme environments 2022 2026 2023 2024 2022 2022 50 100 150

Peers

Lori Graham‐Brady
N. Vu‐Bac Germany
Miguel A. Bessa United States
Ramin Bostanabad United States
Dean Hu China
Kuo Tian China
N. Vu‐Bac Germany
Lori Graham‐Brady
Citations per year, relative to Lori Graham‐Brady Lori Graham‐Brady (= 1×) peers N. Vu‐Bac

Countries citing papers authored by Lori Graham‐Brady

Since Specialization
Citations

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

Fields of papers citing papers by Lori Graham‐Brady

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lori Graham‐Brady. 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 Lori Graham‐Brady. The network helps show where Lori Graham‐Brady may publish in the future.

Co-authorship network of co-authors of Lori Graham‐Brady

This figure shows the co-authorship network connecting the top 25 collaborators of Lori Graham‐Brady. A scholar is included among the top collaborators of Lori Graham‐Brady 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 Lori Graham‐Brady. Lori Graham‐Brady 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.
Olsen, Daniel H., et al.. (2025). Batch active learning for microstructure–property relations in energetic materials. Mechanics of Materials. 205. 105308–105308. 1 indexed citations
2.
Graham‐Brady, Lori, et al.. (2025). Physics-informed latent neural operator for real-time predictions of time-dependent parametric PDEs. Computer Methods in Applied Mechanics and Engineering. 450. 118599–118599.
3.
Deodatis, George, Sanjay R. Arwade, Lori Graham‐Brady, & Kirubel Teferra. (2025). Review of the concept of variability response function and its application in stochastic systems. Reliability Engineering & System Safety. 264. 111180–111180. 1 indexed citations
4.
Graham‐Brady, Lori, et al.. (2025). Numerical and data-driven modeling of spall failure in polycrystalline ductile materials. Computer Methods in Applied Mechanics and Engineering. 448. 118493–118493.
5.
Olivier, Audrey, et al.. (2024). Heteroscedastic Gaussian Process Regression for material structure–property relationship modeling. Computer Methods in Applied Mechanics and Engineering. 431. 117326–117326. 8 indexed citations
6.
Graham‐Brady, Lori, et al.. (2024). Bayesian neural networks for predicting uncertainty in full-field material response. Computer Methods in Applied Mechanics and Engineering. 433. 117486–117486. 7 indexed citations
7.
Yaghoobi, Mohammadreza, Krzysztof S. Stopka, David L. McDowell, Lori Graham‐Brady, & Kirubel Teferra. (2023). Effect of sample size on the maximum value distribution of fatigue driving forces in metals and alloys. International Journal of Fatigue. 176. 107853–107853. 5 indexed citations
8.
Papaioannou, Iason, et al.. (2022). The spatial averaging method for non-homogeneous random fields with application to reliability analysis. Engineering Structures. 253. 113761–113761. 7 indexed citations
9.
Maruyama, Benji, Jason Hattrick‐Simpers, William D. Musinski, et al.. (2022). Artificial intelligence for materials research at extremes. MRS Bulletin. 47(11). 1154–1164. 10 indexed citations
10.
Ramesh, K.T., Lori Graham‐Brady, William A. Goddard, et al.. (2021). Models for the behavior of boron carbide in extreme dynamic environments. Journal of the American Ceramic Society. 105(5). 3043–3061. 12 indexed citations
11.
Olivier, Audrey, Michael D. Shields, & Lori Graham‐Brady. (2021). Bayesian neural networks for uncertainty quantification in data-driven materials modeling. Computer Methods in Applied Mechanics and Engineering. 386. 114079–114079. 107 indexed citations
12.
Bhaduri, Anindya, et al.. (2021). An efficient optimization based microstructure reconstruction approach with multiple loss functions. arXiv (Cornell University). 31 indexed citations
13.
Cil, Mehmet B., Ryan Hurley, & Lori Graham‐Brady. (2019). A rate‐dependent constitutive model for brittle granular materials based on breakage mechanics. Journal of the American Ceramic Society. 102(9). 5524–5534. 16 indexed citations
14.
Bhaduri, Anindya, et al.. (2019). Free energy calculation using space filled design and weighted reconstruction: a modified single sweep approach. Molecular Simulation. 46(3). 193–206. 5 indexed citations
15.
Daphalapurkar, Nitin, et al.. (2017). A micro-mechanical modeling approach for dynamic fragmentation in brittle multi-phase materials. International Journal of Solids and Structures. 134. 116–129. 3 indexed citations
16.
Liu, Junwei & Lori Graham‐Brady. (2016). Effective anisotropic compliance relationships for wing-cracked brittle materials under compression. International Journal of Solids and Structures. 100-101. 151–168. 13 indexed citations
17.
Graham‐Brady, Lori, et al.. (2013). Modeling dynamic brittle behavior of materials with circular flaws or pores. International Journal of Solids and Structures. 51(3-4). 754–766. 19 indexed citations
18.
Graham‐Brady, Lori. (2010). Statistical characterization of meso-scale uniaxial compressive strength in brittle materials with randomly occurring flaws. International Journal of Solids and Structures. 47(18-19). 2398–2413. 57 indexed citations
19.
Deodatis, George & Lori Graham‐Brady. (1996). Analysis of Eigenvalue Variability for 2D Stochastic Structural Systems Using Variability Response Functions. 600–603. 1 indexed citations
20.
Graham‐Brady, Lori & George Deodatis. (1996). Variability Response Functions for Plane Elasticity Problems with Multiple Stochastic Material/Geometric Properties. 174–177. 2 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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