Barry Smith

6.1k total citations
69 papers, 1.6k citations indexed

About

Barry Smith is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Computational Mechanics. According to data from OpenAlex, Barry Smith has authored 69 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computational Theory and Mathematics, 24 papers in Computer Networks and Communications and 24 papers in Computational Mechanics. Recurrent topics in Barry Smith's work include Advanced Numerical Methods in Computational Mathematics (21 papers), Parallel Computing and Optimization Techniques (21 papers) and Distributed and Parallel Computing Systems (19 papers). Barry Smith is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (21 papers), Parallel Computing and Optimization Techniques (21 papers) and Distributed and Parallel Computing Systems (19 papers). Barry Smith collaborates with scholars based in United States, Saudi Arabia and Switzerland. Barry Smith's co-authors include Olof B. Widlund, Dinesh Kaushik, William Gropp, David E. Keyes, Matthew G. Knepley, Maksymilian Dryja, Tony F. Chan, Jed Brown, Peter Brune and Xuemin Tu and has published in prestigious journals such as The Journal of Chemical Physics, Optics Express and IEEE Transactions on Smart Grid.

In The Last Decade

Barry Smith

66 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Barry Smith United States 22 919 488 284 267 245 69 1.6k
Patrick Amestoy France 8 678 0.7× 528 1.1× 242 0.9× 405 1.5× 190 0.8× 14 1.8k
Tzanio Kolev United States 24 1.2k 1.3× 469 1.0× 194 0.7× 388 1.5× 215 0.9× 72 1.9k
Jacko Koster United Kingdom 4 723 0.8× 653 1.3× 207 0.7× 379 1.4× 190 0.8× 7 1.8k
Roger P. Pawlowski United States 22 835 0.9× 411 0.8× 150 0.5× 276 1.0× 208 0.8× 68 1.8k
Ray Tuminaro United States 15 984 1.1× 610 1.3× 188 0.7× 222 0.8× 269 1.1× 32 1.6k
Jonathan Joseph Hu United States 14 690 0.8× 415 0.9× 144 0.5× 245 0.9× 311 1.3× 31 1.3k
Chao Yang China 25 682 0.7× 349 0.7× 98 0.3× 225 0.8× 451 1.8× 134 2.0k
Patrick Amestoy France 14 927 1.0× 862 1.8× 267 0.9× 583 2.2× 289 1.2× 34 2.8k
Ulrike Meier Yang United States 19 848 0.9× 633 1.3× 99 0.3× 180 0.7× 430 1.8× 39 1.5k
I. S. Duff France 15 439 0.5× 652 1.3× 161 0.6× 373 1.4× 177 0.7× 27 1.4k

Countries citing papers authored by Barry Smith

Since Specialization
Citations

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

Fields of papers citing papers by Barry Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barry Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Barry Smith. A scholar is included among the top collaborators of Barry Smith 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 Barry Smith. Barry Smith 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.
Adams, Mark F., Satish Balay, Oana Marin, et al.. (2022). The PETSc Community as Infrastructure. Computing in Science & Engineering. 24(3). 6–15. 1 indexed citations
2.
Zhang, Hong, Emil M. Constantinescu, & Barry Smith. (2022). PETSc TSAdjoint: A Discrete Adjoint ODE Solver for First-Order and Second-Order Sensitivity Analysis. SIAM Journal on Scientific Computing. 44(1). C1–C24. 8 indexed citations
3.
Brown, Jed, Satish Balay, Matthew G. Knepley, et al.. (2021). The PetscSF Scalable Communication Layer. IEEE Transactions on Parallel and Distributed Systems. 33(4). 842–853. 31 indexed citations
4.
Anzt, Hartwig, Erik G. Boman, Robert D. Falgout, et al.. (2020). Preparing sparse solvers for exascale computing. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 378(2166). 20190053–20190053. 16 indexed citations
5.
Mills, Richard T., et al.. (2018). Vectorized Parallel Sparse Matrix-Vector Multiplication in PETSc Using AVX-512. 1–10. 13 indexed citations
6.
Zhao, Xujun, Jiyuan Li, Xikai Jiang, et al.. (2017). Parallel O(N) Stokes’ solver towards scalable Brownian dynamics of hydrodynamically interacting objects in general geometries. The Journal of Chemical Physics. 146(24). 244114–244114. 9 indexed citations
7.
Smith, Barry, et al.. (2015). Implementation of Neumann boundary condition with influence matrix method for viscous annular flow using pseudospectral collocation. Journal of Computational and Applied Mathematics. 285. 100–115. 3 indexed citations
8.
Miller, Mark Carl, Lori Freitag Diachin, Satish Balay, Lois Curfman McInnes, & Barry Smith. (2013). Package Management Practices Essential for Interoperability: Lessons Learned and Strategies Developed for FASTMath. Figshare. 1 indexed citations
9.
Knepley, Matthew G., et al.. (2012). Adaptive coarse space construction and nonlinear smoothers for heterogenous Stokes problems. AGUFM. 2012.
10.
Kaushik, Dinesh, William Gropp, Michael Minkoff, & Barry Smith. (2008). Improving the performance of tensor matrix vector multiplication in cumulative reaction probability based quantum chemistry codes. IEEE International Conference on High Performance Computing, Data, and Analytics. 120–130. 3 indexed citations
12.
Dolan, Elizabeth D., Paul Hovland, Jorge J. Morè, Boyana Norris, & Barry Smith. (2001). Remote access to mathematical software.. University of North Texas Digital Library (University of North Texas).
13.
Gropp, William, Dinesh Kaushik, David E. Keyes, & Barry Smith. (2000). Performance Modeling and Tuning of an Unstructured Mesh CFD Application. Conference on High Performance Computing (Supercomputing). 34–34. 36 indexed citations
14.
Gropp, William, Dinesh Kaushik, David E. Keyes, & Barry Smith. (2000). Performance Modeling and Tuning of an Unstructured Mesh CFD Application. 34–34. 18 indexed citations
15.
Smith, Barry. (1998). The transition of numerical software. ACM SIGNUM Newsletter. 33(1). 7–15. 1 indexed citations
16.
Chan, Tony F., et al.. (1994). Multigrid and domain decomposition methods for unstructured meshes. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 114(1). 134–41. 5 indexed citations
17.
Dryja, Maksymilian, Barry Smith, & Olof B. Widlund. (1994). Schwarz Analysis of Iterative Substructuring Algorithms for Elliptic Problems in Three Dimensions. SIAM Journal on Numerical Analysis. 31(6). 1662–1694. 150 indexed citations
18.
Smith, Barry. (1993). A Parallel Implementation of an Iterative Substructuring Algorithm for Problems in Three Dimensions. SIAM Journal on Scientific Computing. 14(2). 406–423. 22 indexed citations
19.
Smith, Barry & Olof B. Widlund. (1990). A Domain Decomposition Algorithm Using a Hierarchical Basis.. SIAM Journal on Scientific Computing. 11. 1212–1220. 2 indexed citations
20.
McMillan, Julie, et al.. (1979). An Analysis of Micro-embolic Particles Originating in the Extra-corporeal Circuit Before Bypass. Journal of ExtraCorporeal Technology. 11(6). 221–228. 3 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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