Patrick E. Leser

584 total citations
28 papers, 415 citations indexed

About

Patrick E. Leser is a scholar working on Mechanics of Materials, Mechanical Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Patrick E. Leser has authored 28 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Mechanics of Materials, 13 papers in Mechanical Engineering and 8 papers in Statistics, Probability and Uncertainty. Recurrent topics in Patrick E. Leser's work include Probabilistic and Robust Engineering Design (8 papers), Structural Health Monitoring Techniques (7 papers) and Fatigue and fracture mechanics (7 papers). Patrick E. Leser is often cited by papers focused on Probabilistic and Robust Engineering Design (8 papers), Structural Health Monitoring Techniques (7 papers) and Fatigue and fracture mechanics (7 papers). Patrick E. Leser collaborates with scholars based in United States. Patrick E. Leser's co-authors include William P. Leser, Jacob Hochhalter, John A. Newman, James E. Warner, Jiaze He, Geoffrey Bomarito, Cara A.C. Leckey, Adam Hehr, John T. Sheridan and Mark Norfolk and has published in prestigious journals such as Acta Materialia, Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Patrick E. Leser

28 papers receiving 404 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Patrick E. Leser United States 11 172 171 102 57 54 28 415
William P. Leser United States 12 186 1.1× 165 1.0× 111 1.1× 59 1.0× 72 1.3× 25 414
Pranav Karve United States 11 76 0.4× 91 0.5× 79 0.8× 37 0.6× 51 0.9× 35 322
Yigit Yucesan United States 10 82 0.5× 164 1.0× 97 1.0× 16 0.3× 33 0.6× 16 438
Zhi Zheng China 13 125 0.7× 242 1.4× 45 0.4× 70 1.2× 23 0.4× 36 487
Chuliang Yan China 11 121 0.7× 255 1.5× 59 0.6× 22 0.4× 23 0.4× 40 479
J. Kozik Poland 7 171 1.0× 340 2.0× 66 0.6× 40 0.7× 42 0.8× 12 610
David S. Forsyth Canada 13 274 1.6× 293 1.7× 100 1.0× 69 1.2× 33 0.6× 49 536
Pu Wang China 12 181 1.1× 245 1.4× 144 1.4× 13 0.2× 34 0.6× 44 450

Countries citing papers authored by Patrick E. Leser

Since Specialization
Citations

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

Fields of papers citing papers by Patrick E. Leser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick E. Leser. 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 Patrick E. Leser. The network helps show where Patrick E. Leser may publish in the future.

Co-authorship network of co-authors of Patrick E. Leser

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick E. Leser. A scholar is included among the top collaborators of Patrick E. Leser 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 Patrick E. Leser. Patrick E. Leser 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.
Leser, Patrick E., et al.. (2024). Multi-model Monte Carlo estimation for crystal plasticity structure–property simulations of additively manufactured metals. Computational Materials Science. 247. 113481–113481. 2 indexed citations
2.
Richter, Brodan, et al.. (2023). A Process-Structure-Property Simulation Framework for Quantifying Uncertainty in Additive Manufacturing: Application to Fatigue in Ti-6Al-4V. Integrating materials and manufacturing innovation. 12(3). 231–250. 7 indexed citations
3.
Leser, Patrick E., Jake T. Benzing, Chris J. Torbet, et al.. (2023). Nondestructive quantification of single crystal elasticity for additively manufactured SB-CoNi-10C, IN625, and Ti64. NDT & E International. 135. 102803–102803. 2 indexed citations
4.
Bomarito, Geoffrey, et al.. (2022). Bayesian model selection for reducing bloat and overfitting in genetic programming for symbolic regression. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 526–529. 10 indexed citations
5.
Gramacy, Robert B., et al.. (2022). Entropy-based adaptive design for contour finding and estimating reliability. Journal of Quality Technology. 55(1). 43–60. 6 indexed citations
6.
Leser, Patrick E., Kira M. Pusch, Carolina Frey, et al.. (2022). Single crystal elastic constants of additively manufactured components determined by resonant ultrasound spectroscopy. Materials Characterization. 192. 112244–112244. 12 indexed citations
7.
Leser, Patrick E., Kira M. Pusch, Carolina Frey, et al.. (2021). Bayesian inference of elastic constants and texture coefficients in additively manufactured cobalt-nickel superalloys using resonant ultrasound spectroscopy. Acta Materialia. 220. 117287–117287. 22 indexed citations
8.
Warner, James E., et al.. (2021). Multi-Model Monte Carlo Estimators for Trajectory Simulation. AIAA Scitech 2021 Forum. 4 indexed citations
9.
Bomarito, Geoffrey, Patrick E. Leser, James E. Warner, & William P. Leser. (2021). On the optimization of approximate control variates with parametrically defined estimators. Journal of Computational Physics. 451. 110882–110882. 12 indexed citations
10.
Warner, James E., Geoffrey Bomarito, Jacob Hochhalter, et al.. (2020). A Computationally-Efficient Probabilistic Approach to Model-Based Damage Diagnosis. International Journal of Prognostics and Health Management. 8(2). 26–26. 6 indexed citations
11.
He, Jiaze, et al.. (2019). Least-squares reverse time migration (LSRTM) for damage imaging using Lamb waves. Smart Materials and Structures. 28(6). 65010–65010. 31 indexed citations
12.
Hehr, Adam, Mark Norfolk, John T. Sheridan, et al.. (2019). Spatial Strain Sensing Using Embedded Fiber Optics. JOM. 71(4). 1528–1534. 12 indexed citations
13.
He, Jiaze, Cara A.C. Leckey, Patrick E. Leser, & William P. Leser. (2018). Multi-mode reverse time migration damage imaging using ultrasonic guided waves. Ultrasonics. 94. 319–331. 55 indexed citations
14.
Leser, Patrick E., Jacob Hochhalter, James E. Warner, et al.. (2018). Sequential Monte Carlo: Enabling Real-time and High-fidelity Prognostics. Annual Conference of the PHM Society. 10(1). 4 indexed citations
15.
He, Jiaze, Patrick E. Leser, William P. Leser, & Fuh‐Gwo Yuan. (2018). IWSHM 2017: Damage-scattered wave extraction in an integral stiffened isotropic plate: a baseline-subtraction-free approach. Structural Health Monitoring. 17(6). 1365–1376. 6 indexed citations
16.
Leser, Patrick E.. (2017). Probabilistic Prognostics and Health Management for Fatigue-Critical Components using High-Fidelity Models. NCSU Libraries Repository (North Carolina State University Libraries). 8 indexed citations
17.
Hehr, Adam, et al.. (2017). Integrating Fiber Optic Strain Sensors into Metal Using Ultrasonic Additive Manufacturing. JOM. 70(3). 315–320. 51 indexed citations
18.
Warner, James E., Jacob Hochhalter, William P. Leser, Patrick E. Leser, & John A. Newman. (2016). A Computationally-Efficient Inverse Approach to Probabilistic Strain-Based Damage Diagnosis. Annual Conference of the PHM Society. 8(1). 4 indexed citations
19.
Leser, Patrick E., John A. Newman, James E. Warner, et al.. (2016). Probabilistic Prognosis of Non-Planar Fatigue Crack Growth. Annual Conference of the PHM Society. 8(1). 3 indexed citations
20.
Leser, Patrick E., Jacob Hochhalter, James E. Warner, et al.. (2016). Probabilistic fatigue damage prognosis using surrogate models trained via three-dimensional finite element analysis. Structural Health Monitoring. 16(3). 291–308. 47 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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