Simon McIntosh‐Smith

1.9k total citations
88 papers, 1.1k citations indexed

About

Simon McIntosh‐Smith is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Simon McIntosh‐Smith has authored 88 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Networks and Communications, 48 papers in Hardware and Architecture and 17 papers in Information Systems. Recurrent topics in Simon McIntosh‐Smith's work include Parallel Computing and Optimization Techniques (48 papers), Advanced Data Storage Technologies (28 papers) and Distributed and Parallel Computing Systems (25 papers). Simon McIntosh‐Smith is often cited by papers focused on Parallel Computing and Optimization Techniques (48 papers), Advanced Data Storage Technologies (28 papers) and Distributed and Parallel Computing Systems (25 papers). Simon McIntosh‐Smith collaborates with scholars based in United Kingdom, United States and Germany. Simon McIntosh‐Smith's co-authors include Tom Deakin, James Price, Matt Martineau, Wayne Gaudin, Christopher Woods, Richard B. Sessions, Maturos Malaisree, Adrian J. Mulholland, Amaurys Ávila Ibarra and Ben Long and has published in prestigious journals such as Biochemistry, Scientific Reports and Physical Chemistry Chemical Physics.

In The Last Decade

Simon McIntosh‐Smith

82 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon McIntosh‐Smith United Kingdom 20 468 467 207 161 145 88 1.1k
Erwin Laure Sweden 17 314 0.7× 610 1.3× 113 0.5× 250 1.6× 64 0.4× 91 1.1k
Sameer Kumar United States 27 1.0k 2.2× 1.3k 2.7× 218 1.1× 273 1.7× 207 1.4× 67 2.0k
Abhinav Bhatelé United States 27 1.1k 2.3× 1.4k 3.0× 190 0.9× 570 3.5× 240 1.7× 110 2.1k
Gengbin Zheng United States 18 835 1.8× 1.0k 2.2× 79 0.4× 305 1.9× 82 0.6× 40 1.4k
Weiguo Liu China 17 236 0.5× 318 0.7× 572 2.8× 104 0.6× 69 0.5× 89 1.2k
R. C. Agarwal United States 15 297 0.6× 272 0.6× 178 0.9× 116 0.7× 163 1.1× 22 1.0k
Alan Gara United States 17 651 1.4× 809 1.7× 37 0.2× 122 0.8× 246 1.7× 45 1.2k
Oreste Villa United States 24 973 2.1× 879 1.9× 54 0.3× 212 1.3× 318 2.2× 67 1.6k
Mitsuhisa Sato Japan 21 883 1.9× 1.2k 2.5× 58 0.3× 457 2.8× 225 1.6× 193 1.6k
Jaeyoung Choi South Korea 16 721 1.5× 722 1.5× 20 0.1× 136 0.8× 137 0.9× 111 1.3k

Countries citing papers authored by Simon McIntosh‐Smith

Since Specialization
Citations

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

Fields of papers citing papers by Simon McIntosh‐Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon McIntosh‐Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Simon McIntosh‐Smith. A scholar is included among the top collaborators of Simon McIntosh‐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 Simon McIntosh‐Smith. Simon McIntosh‐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.
Kenter, Tobias, et al.. (2025). Towards Efficient Load Balancing BFS on GPUs: One Code for AMD, Intel & Nvidia. Explore Bristol Research. 2077–2087.
2.
McIntosh‐Smith, Simon, Sadaf R. Alam, & Christopher Woods. (2024). Isambard-AI: a leadership-class supercomputer optimised specifically for Artificial Intelligence. 44–54.
3.
McIntosh‐Smith, Simon, et al.. (2023). OpenMP: Advanced Task-Based, Device and Compiler Programming. Lecture notes in computer science. 1 indexed citations
4.
Deakin, Tom, et al.. (2022). Table of Contents. 3–5. 1 indexed citations
5.
Pennycook, S. J., Jason Sewall, Douglas W. Jacobsen, Tom Deakin, & Simon McIntosh‐Smith. (2021). Navigating Performance, Portability, and Productivity. Computing in Science & Engineering. 23(5). 28–38. 17 indexed citations
6.
McIntosh‐Smith, Simon, et al.. (2020). Using the Graphcore IPU for Traditional HPC Applications. Explore Bristol Research. 5 indexed citations
7.
Shoemark, Deborah K., Amaurys Ávila Ibarra, James F. Ross, et al.. (2018). The dynamical interplay between a megadalton peptide nanocage and solutes probed by microsecond atomistic MD; implications for design. Physical Chemistry Chemical Physics. 21(1). 137–147. 4 indexed citations
8.
Deakin, Tom, et al.. (2018). UnSNAP: A Mini-App for Exploring the Performance of Deterministic Discrete Ordinates Transport on Unstructured Meshes. Bristol Research (University of Bristol). 598–606. 2 indexed citations
9.
Price, James, et al.. (2016). Software-level Fault Tolerant Framework for Task-based Applications. Explore Bristol Research. 1 indexed citations
10.
Bautista-Gomez, Leonardo, Ferad Zyulkyarov, Osman Ünsal, & Simon McIntosh‐Smith. (2016). Unprotected computing: a large-scale study of DRAM raw error rate on a supercomputer. IEEE International Conference on High Performance Computing, Data, and Analytics. 55. 24 indexed citations
11.
Martineau, Matt, Simon McIntosh‐Smith, Carlo Bertolli, et al.. (2016). Performance analysis and optimization of Clang's OpenMP 4.5 GPU support. IEEE International Conference on High Performance Computing, Data, and Analytics. 54–64. 8 indexed citations
12.
Martineau, Matt, Simon McIntosh‐Smith, Carlo Bertolli, et al.. (2016). Performance Analysis and Optimization of Clang's OpenMP 4.5 GPU Support. Bristol Research (University of Bristol). 54–64. 7 indexed citations
13.
Martineau, Matt, Simon McIntosh‐Smith, Wayne Gaudin, Michael E. Boulton, & David Beckingsale. (2015). A Performance Evaluation of Kokkos & RAJA using the TeaLeaf Mini-App. Conference on High Performance Computing (Supercomputing). 3 indexed citations
14.
Deakin, Tom & Simon McIntosh‐Smith. (2015). GPU-STREAM: Benchmarking the achievable memory bandwidth of Graphics Processing Units. Explore Bristol Research. 9 indexed citations
15.
Boulton, Michael E., Simon McIntosh‐Smith, Wayne Gaudin, et al.. (2015). TeaLeaf: A New Mini-Application for Many-Core Aware, Iterative Sparse Linear Solvers. International Parallel and Distributed Processing Symposium. 2 indexed citations
16.
Price, James & Simon McIntosh‐Smith. (2015). Improving Auto-Tuning Convergence Times with Dynamically Generated Predictive Performance Models. Explore Bristol Research. 211–218. 4 indexed citations
17.
Woods, Christopher, Maturos Malaisree, Julien Michel, et al.. (2014). Rapid decomposition and visualisation of protein–ligand binding free energies by residue and by water. Faraday Discussions. 169. 477–499. 80 indexed citations
18.
Woods, Christopher, Maturos Malaisree, Ben Long, Simon McIntosh‐Smith, & Adrian J. Mulholland. (2013). Computational Assay of H7N9 Influenza Neuraminidase Reveals R292K Mutation Reduces Drug Binding Affinity. Scientific Reports. 3(1). 3561–3561. 35 indexed citations
19.
Glowacki, David R., et al.. (2012). danceroom Spectroscopy: Interactive quantum molecular dynamics accelerated on GPU architectures using OpenCL. Bristol Research (University of Bristol). 2 indexed citations
20.
Woods, Christopher, et al.. (2010). A massively multicore parallelization of the Kohn‐Sham energy gradients. Journal of Computational Chemistry. 31(10). 2008–2013. 10 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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