Stuart Slattery

472 total citations
21 papers, 306 citations indexed

About

Stuart Slattery is a scholar working on Aerospace Engineering, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Stuart Slattery has authored 21 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Aerospace Engineering, 6 papers in Hardware and Architecture and 5 papers in Computer Networks and Communications. Recurrent topics in Stuart Slattery's work include Nuclear reactor physics and engineering (6 papers), Advanced Data Storage Technologies (5 papers) and Parallel Computing and Optimization Techniques (5 papers). Stuart Slattery is often cited by papers focused on Nuclear reactor physics and engineering (6 papers), Advanced Data Storage Technologies (5 papers) and Parallel Computing and Optimization Techniques (5 papers). Stuart Slattery collaborates with scholars based in United States, Bulgaria and China. Stuart Slattery's co-authors include Steven Hamilton, Roger P. Pawlowski, Thomas Evans, Paul Wilson, C. T. Kelley, Minchen Li, Chenfanfu Jiang, Damien Lebrun-Grandié, Yixin Zhu and Min Tang and has published in prestigious journals such as Journal of Computational Physics, ACM Transactions on Graphics and SIAM Journal on Scientific Computing.

In The Last Decade

Stuart Slattery

21 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stuart Slattery United States 11 97 85 43 40 32 21 306
Maria Emelianenko United States 11 121 1.2× 47 0.6× 81 1.9× 29 0.7× 59 1.8× 31 460
Kevin Gott United States 6 182 1.9× 85 1.0× 42 1.0× 14 0.3× 13 0.4× 9 453
Johann Dahm United States 8 156 1.6× 45 0.5× 15 0.3× 64 1.6× 27 0.8× 12 367
Julian Andrej United States 5 142 1.5× 29 0.3× 15 0.3× 65 1.6× 22 0.7× 7 309
Yohann Dudouit United States 4 140 1.4× 29 0.3× 15 0.3× 68 1.7× 20 0.6× 5 298
Vladimir Tomov United States 10 355 3.7× 52 0.6× 23 0.5× 85 2.1× 24 0.8× 24 544
Kristian B. Ølgaard United Kingdom 3 181 1.9× 28 0.3× 57 1.3× 66 1.6× 36 1.1× 5 444
Jean‐Sylvain Camier United States 7 213 2.2× 33 0.4× 17 0.4× 96 2.4× 22 0.7× 11 392
Erlend Arge Norway 6 152 1.6× 27 0.3× 33 0.8× 34 0.8× 26 0.8× 7 339
Jamie Bramwell United States 4 181 1.9× 28 0.3× 16 0.4× 81 2.0× 20 0.6× 4 334

Countries citing papers authored by Stuart Slattery

Since Specialization
Citations

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

Fields of papers citing papers by Stuart Slattery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stuart Slattery

This figure shows the co-authorship network connecting the top 25 collaborators of Stuart Slattery. A scholar is included among the top collaborators of Stuart Slattery 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 Stuart Slattery. Stuart Slattery 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.
Fattebert, Jean‐Luc, Stephen DeWitt, Pablo Seleson, et al.. (2024). Co-design for Particle Applications at Exascale. Computing in Science & Engineering. 26(2). 43–52. 1 indexed citations
2.
Slattery, Stuart, Christoph Junghans, Damien Lebrun-Grandié, et al.. (2022). Cabana: A Performance Portable Library forParticle-Based Simulations. The Journal of Open Source Software. 7(72). 4115–4115. 18 indexed citations
3.
Li, Minchen, et al.. (2022). A Sparse Distributed Gigascale Resolution Material Point Method. ACM Transactions on Graphics. 42(2). 1–21. 6 indexed citations
4.
Turner, John, James Belak, Nathan R. Barton, et al.. (2022). ExaAM: Metal additive manufacturing simulation at the fidelity of the microstructure. The International Journal of High Performance Computing Applications. 36(1). 13–39. 29 indexed citations
5.
Usher, Will, Sidharth Kumar, Stuart Slattery, et al.. (2021). Adaptive Spatially Aware I/O for Multiresolution Particle Data Layouts. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 547–556. 6 indexed citations
6.
Wang, Xinlei, Stuart Slattery, Yu Fang, et al.. (2020). A massively parallel and scalable multi-GPU material point method. ACM Transactions on Graphics. 39(4). 52 indexed citations
7.
Lebrun-Grandié, Damien, et al.. (2020). ArborX. ACM Transactions on Mathematical Software. 47(1). 1–15. 17 indexed citations
8.
Benzi, Michele, et al.. (2017). Analysis of Monte Carlo accelerated iterative methods for sparse linear systems. Numerical Linear Algebra with Applications. 24(3). 18 indexed citations
9.
Hamilton, Steven, Stuart Slattery, & Thomas Evans. (2017). Multigroup Monte Carlo on GPUs: Comparison of history- and event-based algorithms. Annals of Nuclear Energy. 113. 506–518. 21 indexed citations
10.
Evans, T. M., et al.. (2017). Local Improvement Results for Anderson Acceleration with Inaccurate Function Evaluations. SIAM Journal on Scientific Computing. 39(5). S47–S65. 29 indexed citations
11.
Hamilton, Steven, Thomas Evans, & Stuart Slattery. (2016). GPU Acceleration of History-Based Multigroup Monte Carlo. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4 indexed citations
12.
Kelley, C. T., et al.. (2015). Analysis of Anderson Acceleration on a Simplified Neutronics/Thermal Hydraulics System. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 14 indexed citations
13.
Slattery, Stuart. (2015). Mesh-free data transfer algorithms for partitioned multiphysics problems: Conservation, accuracy, and parallelism. Journal of Computational Physics. 307. 164–188. 18 indexed citations
14.
Slattery, Stuart, Steven Hamilton, & Thomas Evans. (2015). A Modified Moving Least Square Algorithm for Solution Transfer on a Spacer Grid Surface. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
15.
Slattery, Stuart, Thomas Evans, & Paul Wilson. (2014). A Multiple-Set Overlapping-Domain Decomposed Monte Carlo Synthetic Acceleration Method for Linear Systems. 4. 4211–4211. 1 indexed citations
16.
Schmidt, Rodney C., Russell Hooper, Roger P. Pawlowski, et al.. (2014). An approach for coupled-code multiphysics core simulations from a common input. Annals of Nuclear Energy. 84. 140–152. 10 indexed citations
17.
Slattery, Stuart. (2013). Parallel Monte Carlo Synthetic Acceleration methods for discrete transport problems. PhDT. 1 indexed citations
18.
Evans, Thomas, Scott W. Mosher, Stuart Slattery, & Steven Hamilton. (2013). A Monte Carlo synthetic-acceleration method for solving the thermal radiation diffusion equation. Journal of Computational Physics. 258. 338–358. 6 indexed citations
19.
Slattery, Stuart, Paul Wilson, & Roger P. Pawlowski. (2013). The Data Transfer Kit: A geometric rendezvous-based tool for multiphysics data transfer. 22 indexed citations
20.
Cao, Guoping, et al.. (2011). In Situ Measurements of Spectral Emissivity of Materials for Very High Temperature Reactors. Nuclear Technology. 175(2). 460–467. 26 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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