Mark Gates

1.3k total citations
50 papers, 622 citations indexed

About

Mark Gates is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Mark Gates has authored 50 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Hardware and Architecture, 20 papers in Computer Networks and Communications and 17 papers in Computational Theory and Mathematics. Recurrent topics in Mark Gates's work include Parallel Computing and Optimization Techniques (35 papers), Distributed and Parallel Computing Systems (13 papers) and Matrix Theory and Algorithms (13 papers). Mark Gates is often cited by papers focused on Parallel Computing and Optimization Techniques (35 papers), Distributed and Parallel Computing Systems (13 papers) and Matrix Theory and Algorithms (13 papers). Mark Gates collaborates with scholars based in United States, United Kingdom and Germany. Mark Gates's co-authors include Jack Dongarra, Jakub Kurzak, Michael T. Heath, John Lambros, Stanimire Tomov, Piotr Łuszczek, Azzam Haidar, Hartwig Anzt, Ichitaro Yamazaki and Asim YarKhan and has published in prestigious journals such as Proceedings of the IEEE, International Journal for Numerical Methods in Engineering and SIAM Review.

In The Last Decade

Mark Gates

49 papers receiving 608 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark Gates United States	14	251	187	156	136	81	50	622
Ichitaro Yamazaki United States	15	263 1.0×	173 0.9×	329 2.1×	49 0.4×	89 1.1×	76	666
Ester M. Garzón Spain	15	235 0.9×	200 1.1×	212 1.4×	153 1.1×	249 3.1×	80	997
Alexander Heinecke Germany	16	353 1.4×	303 1.6×	70 0.4×	132 1.0×	175 2.2×	48	872
Francisco D. Igual Spain	15	518 2.1×	416 2.2×	122 0.8×	159 1.2×	125 1.5×	83	860
Salvatore Filippone Italy	13	237 0.9×	187 1.0×	177 1.1×	34 0.3×	50 0.6×	49	540
Maxim Naumov United States	11	154 0.6×	154 0.8×	149 1.0×	84 0.6×	134 1.7×	26	678
Emmanuel Agullo France	14	481 1.9×	403 2.2×	191 1.2×	36 0.3×	88 1.1×	34	727
M. Ravishankar India	16	229 0.9×	171 0.9×	39 0.3×	160 1.2×	59 0.7×	54	484
Everett Phillips United States	10	279 1.1×	240 1.3×	60 0.4×	124 0.9×	112 1.4×	14	752
Pedro Valero‐Lara Spain	14	229 0.9×	197 1.1×	55 0.4×	113 0.8×	51 0.6×	56	500

Countries citing papers authored by Mark Gates

Since Specialization

Citations

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

Fields of papers citing papers by Mark Gates

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Gates

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Gates. A scholar is included among the top collaborators of Mark Gates 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 Mark Gates. Mark Gates is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Gates, Mark, et al.. (2024). Evolution of the SLATE linear algebra library. The International Journal of High Performance Computing Applications. 39(1). 3–17. 3 indexed citations

Gates, Mark, et al.. (2024). Towards Scalable and Efficient Spiking Reinforcement Learning for Continuous Control Tasks. 331–335.

Abdelfattah, Ahmad, Piotr Łuszczek, Mark Gates, et al.. (2023). PAQR: Pivoting Avoiding QR factorization. 322–332. 3 indexed citations

Gates, Mark, et al.. (2022). Portable and Efficient Dense Linear Algebra in the Beginning of the Exascale Era. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 36–46. 2 indexed citations

Gates, Mark, et al.. (2022). Threshold Pivoting for Dense LU Factorization. 34–42. 4 indexed citations

Demmel, James, Jack Dongarra, Mark Gates, et al.. (2022). Proposed Consistent Exception Handling for the BLAS and LAPACK. 1–9. 3 indexed citations

Abdelfattah, Ahmad, Stanimire Tomov, Mark Gates, et al.. (2020). MAGMA templates for scalable linear algebra on emerging architectures. The International Journal of High Performance Computing Applications. 34(6). 645–658. 7 indexed citations

YarKhan, Asim, et al.. (2020). SLATE Performance Report: Updates to Cholesky and LU Factorizations. 1 indexed citations

Gates, Mark, Jakub Kurzak, Ali Charara, Asim YarKhan, & Jack Dongarra. (2019). SLATE. 1–18. 44 indexed citations

10.

Kurzak, Jakub, Mark Gates, Ali Charara, Asim YarKhan, & Jack Dongarra. (2019). SLATE Working Note 12: Implementing Matrix Inversions. 1 indexed citations

11.

Kurzak, Jakub, et al.. (2019). Massively Parallel Automated Software Tuning. 1–10. 3 indexed citations

12.

Sun, Jian, Joshua S. Fu, John B. Drake, et al.. (2018). Computational Benefit of GPU Optimization for the Atmospheric Chemistry Modeling. Journal of Advances in Modeling Earth Systems. 10(8). 1952–1969. 8 indexed citations

13.

Gates, Mark, Stanimire Tomov, & Jack Dongarra. (2017). Accelerating the SVD two stage bidiagonal reduction and divide and conquer using GPUs. Parallel Computing. 74. 3–18. 13 indexed citations

14.

Dongarra, Jack, Stanimire Tomov, Piotr Łuszczek, et al.. (2017). With Extreme Computing, the Rules Have Changed. Computing in Science & Engineering. 19(3). 52–62. 17 indexed citations

15.

Gates, Mark, Jakub Kurzak, Piotr Łuszczek, Yu Pei, & Jack Dongarra. (2017). Autotuning batch Cholesky factorization in CUDA with interleaved layout of matrices. 93. 1408–1417. 3 indexed citations

16.

Newburn, Chris J., Gaurav Bansal, Michael R. Wood, et al.. (2016). Heterogeneous Streaming. 9. 611–620. 11 indexed citations

17.

Abdelfattah, Ahmad, Hartwig Anzt, Jack Dongarra, et al.. (2016). Linear algebra software for large-scale accelerated multicore computing. Acta Numerica. 25. 1–160. 13 indexed citations

18.

Gates, Mark, Hartwig Anzt, Jakub Kurzak, & Jack Dongarra. (2015). Accelerating collaborative filtering using concepts from high performance computing. 667–676. 21 indexed citations

19.

Dongarra, Jack, et al.. (2015). HPC Programming on Intel Many-Integrated-Core Hardware with MAGMA Port to Xeon Phi. Scientific Programming. 2015. 1–11. 16 indexed citations

20.

Gates, Mark, John Lambros, & Michael T. Heath. (2010). Towards High Performance Digital Volume Correlation. Experimental Mechanics. 51(4). 491–507. 70 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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