Edmond Chow

7.8k total citations · 1 hit paper
114 papers, 4.7k citations indexed

About

Edmond Chow is a scholar working on Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics and Computer Networks and Communications. According to data from OpenAlex, Edmond Chow has authored 114 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computational Theory and Mathematics, 35 papers in Atomic and Molecular Physics, and Optics and 23 papers in Computer Networks and Communications. Recurrent topics in Edmond Chow's work include Matrix Theory and Algorithms (46 papers), Electromagnetic Scattering and Analysis (22 papers) and Parallel Computing and Optimization Techniques (22 papers). Edmond Chow is often cited by papers focused on Matrix Theory and Algorithms (46 papers), Electromagnetic Scattering and Analysis (22 papers) and Parallel Computing and Optimization Techniques (22 papers). Edmond Chow collaborates with scholars based in United States, Germany and United Kingdom. Edmond Chow's co-authors include Yousef Saad, Ron O. Dror, David E. Shaw, K. J. Bowers, Federico D. Sacerdoti, Huafeng Xu, Michael P. Eastwood, Brent A. Gregersen, Yibing Shan and István Kolossváry and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Edmond Chow

107 papers receiving 4.5k citations

Hit Papers

Molecular dynamics---Scalable algorithms for molecular dy... 2006 2026 2012 2019 2006 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edmond Chow United States 26 1.5k 1.3k 1.0k 597 517 114 4.7k
John K. Salmon United States 24 1.0k 0.7× 3.0k 2.3× 757 0.7× 578 1.0× 569 1.1× 56 7.1k
Eric Darve United States 32 490 0.3× 1.3k 1.0× 1.6k 1.5× 671 1.1× 305 0.6× 131 5.3k
K. J. Bowers United States 34 850 0.6× 2.2k 1.6× 1.2k 1.2× 152 0.3× 180 0.3× 75 6.5k
John E. Stone United States 32 433 0.3× 1.8k 1.3× 522 0.5× 368 0.6× 1.6k 3.2× 64 6.4k
Richard Cole United States 42 1.7k 1.1× 667 0.5× 380 0.4× 223 0.4× 733 1.4× 230 6.4k
Gregory D. Peterson United States 21 271 0.2× 719 0.5× 334 0.3× 320 0.5× 562 1.1× 104 4.0k
Robert Schreiber United States 44 1.0k 0.7× 2.5k 1.9× 790 0.8× 732 1.2× 2.3k 4.4× 123 10.1k
David J. Evans United Kingdom 44 672 0.4× 932 0.7× 377 0.4× 459 0.8× 68 0.1× 374 6.9k
J. M. Martı́nez Brazil 40 4.2k 2.8× 1.5k 1.1× 1.4k 1.4× 2.2k 3.6× 361 0.7× 234 15.7k
R. W. Hockney United Kingdom 28 497 0.3× 835 0.6× 2.0k 2.0× 993 1.7× 693 1.3× 80 9.1k

Countries citing papers authored by Edmond Chow

Since Specialization
Citations

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

Fields of papers citing papers by Edmond Chow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edmond Chow

This figure shows the co-authorship network connecting the top 25 collaborators of Edmond Chow. A scholar is included among the top collaborators of Edmond Chow 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 Edmond Chow. Edmond Chow 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.
Chow, Edmond, et al.. (2025). Ultra high-Q tunable microring resonators enabled by slow light. Nature Communications. 16(1). 10496–10496.
2.
Chow, Edmond, et al.. (2024). SPARC v2.0.0: Spin-orbit coupling, dispersion interactions, and advanced exchange–correlation functionals. Software Impacts. 20. 100649–100649. 12 indexed citations
3.
Chow, Edmond, et al.. (2024). Exploring the Design Space of Distributed Parallel Sparse Matrix-Multiple Vector Multiplication. IEEE Transactions on Parallel and Distributed Systems. 35(11). 1977–1988. 1 indexed citations
4.
Pask, John E., et al.. (2024). Many-Body Electronic Correlation Energy using Krylov Subspace Linear Solvers. 1–15. 1 indexed citations
5.
Chow, Edmond, et al.. (2024). An Adaptive Factorized Nyström Preconditioner for Regularized Kernel Matrices. SIAM Journal on Scientific Computing. 46(4). A2351–A2376. 1 indexed citations
6.
Tsai, Yu‐Hsiang, et al.. (2022). Implementing Asynchronous Jacobi Iteration on GPUs. 5. 1–9.
7.
Chow, Edmond, et al.. (2020). Asynchronous SGD for DNN training on Shared-memory Parallel Architectures. Research Explorer (The University of Manchester). abs 1609 4836. 1–4. 4 indexed citations
8.
Chow, Edmond, et al.. (2018). Accelerating quantum chemistry with vectorized and batched integrals. IEEE International Conference on High Performance Computing, Data, and Analytics. 41. 4 indexed citations
9.
Chow, Edmond, et al.. (2018). Accelerating Quantum Chemistry with Vectorized and Batched Integrals. 529–542. 9 indexed citations
10.
Sosonkina, Masha, et al.. (2017). Fault tolerant variants of the fine-grained parallel incomplete LU factorization. 15. 4 indexed citations
11.
Pritchard, Benjamin P. & Edmond Chow. (2016). Horizontal vectorization of electron repulsion integrals. Journal of Computational Chemistry. 37(28). 2537–2546. 23 indexed citations
12.
Chow, Edmond, et al.. (2016). On the use of iterative methods and blocking for solving sparse triangular systems in incomplete factorization preconditioning. SIAM Journal on Scientific Computing. 7 indexed citations
13.
Chow, Edmond, et al.. (2015). Something In The Way We Move: Quantifying patterns of exploration in virtual spaces.. Foundations of Digital Games. 1 indexed citations
14.
Dukhan, Marat, Thomas Benson, Dongryeol Lee, et al.. (2012). Optimizing the computation of n-point correlations on large-scale astronomical data. IEEE International Conference on High Performance Computing, Data, and Analytics. 1–12. 6 indexed citations
15.
Liu, Xing, Edmond Chow, Karthikeyan Vaidyanathan, & Mikhail Smelyanskiy. (2012). Improving the Performance of Dynamical Simulations Via Multiple Right-Hand Sides. 36–47. 18 indexed citations
16.
Gunasekaran, Raghul, David Dillow, Galen Shipman, Richard Vuduc, & Edmond Chow. (2011). Characterizing Application Runtime Behavior from System Logs and Metrics. Talanta. 178. 1077–1077. 1 indexed citations
17.
Arkin, Isaiah T., Huafeng Xu, Morten Ø. Jensen, et al.. (2007). Mechanism of Na + /H + Antiporting. Science. 317(5839). 799–803. 124 indexed citations
18.
Chow, Edmond. (2005). A Graph Search Heuristic for Shortest Distance Paths. University of North Texas Digital Library (University of North Texas). 13 indexed citations
19.
Chow, Edmond & Yousef Saad. (1997). Parallel Approximate Inverse Preconditioners.. PPSC. 2 indexed citations
20.
Chow, Edmond & Yousef Saad. (1997). Experimental study of ILU preconditioners for indefinite matrices. Journal of Computational and Applied Mathematics. 86(2). 387–414. 172 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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