Michael B. Giles

15.6k total citations · 5 hit papers
219 papers, 9.5k citations indexed

About

Michael B. Giles is a scholar working on Computational Mechanics, Aerospace Engineering and Hardware and Architecture. According to data from OpenAlex, Michael B. Giles has authored 219 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Computational Mechanics, 52 papers in Aerospace Engineering and 31 papers in Hardware and Architecture. Recurrent topics in Michael B. Giles's work include Computational Fluid Dynamics and Aerodynamics (78 papers), Fluid Dynamics and Turbulent Flows (51 papers) and Advanced Numerical Methods in Computational Mathematics (42 papers). Michael B. Giles is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (78 papers), Fluid Dynamics and Turbulent Flows (51 papers) and Advanced Numerical Methods in Computational Mathematics (42 papers). Michael B. Giles collaborates with scholars based in United Kingdom, United States and Hungary. Michael B. Giles's co-authors include Niles A. Pierce, Mark Drela, Endre Süli, Mihai C. Duta, Robert Scheichl, Aretha L. Teckentrup, István Z. Reguly, M. Sergio Campobasso, Naomi E. Pierce and Jens‐Dominik Müller and has published in prestigious journals such as The Journal of Chemical Physics, Bioinformatics and NeuroImage.

In The Last Decade

Michael B. Giles

214 papers receiving 8.8k citations

Hit Papers

Viscous-inviscid analysis of transonic and low Reynolds n... 1987 2026 2000 2013 1987 2008 2000 1990 2015 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael B. Giles United Kingdom 43 5.5k 3.1k 1.4k 922 837 219 9.5k
M. Yousuff Hussaini United States 49 9.4k 1.7× 3.2k 1.0× 860 0.6× 1.1k 1.2× 1.9k 2.3× 289 15.9k
Thomas A. Zang United States 27 4.5k 0.8× 899 0.3× 638 0.5× 907 1.0× 1.9k 2.3× 67 8.9k
Max Gunzburger United States 65 7.9k 1.4× 733 0.2× 1.5k 1.0× 3.4k 3.7× 1.8k 2.1× 333 14.9k
Jan S. Hesthaven United States 56 6.0k 1.1× 1.1k 0.4× 2.2k 1.6× 1.2k 1.3× 2.1k 2.5× 234 13.4k
Claudio Canuto Italy 28 5.3k 1.0× 650 0.2× 330 0.2× 1.4k 1.5× 2.8k 3.3× 113 10.8k
Qiang Du United States 58 4.9k 0.9× 776 0.3× 297 0.2× 2.2k 2.4× 2.2k 2.7× 351 13.3k
J.B. Moore Australia 44 963 0.2× 1.4k 0.4× 403 0.3× 1.1k 1.1× 755 0.9× 302 12.4k
Kazufumi Ito United States 42 3.0k 0.6× 709 0.2× 271 0.2× 2.1k 2.3× 1.3k 1.5× 248 7.9k
C Moler United States 25 1.8k 0.3× 745 0.2× 373 0.3× 2.9k 3.1× 1.9k 2.3× 60 11.5k
M. Y. Hussaini United States 18 2.8k 0.5× 1.1k 0.4× 162 0.1× 607 0.7× 1.6k 1.9× 41 6.4k

Countries citing papers authored by Michael B. Giles

Since Specialization
Citations

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

Fields of papers citing papers by Michael B. Giles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael B. Giles. 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 Michael B. Giles. The network helps show where Michael B. Giles may publish in the future.

Co-authorship network of co-authors of Michael B. Giles

This figure shows the co-authorship network connecting the top 25 collaborators of Michael B. Giles. A scholar is included among the top collaborators of Michael B. Giles 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 Michael B. Giles. Michael B. Giles 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.
Giles, Michael B., et al.. (2025). A nested MLMC framework for efficient simulations on FPGAs. Monte Carlo Methods and Applications. 31(3). 173–188.
2.
Giles, Michael B., et al.. (2024). Rounding Error Using Low Precision Approximate Random Variables. SIAM Journal on Scientific Computing. 46(4). B502–B526. 1 indexed citations
3.
Capriotti, Luca & Michael B. Giles. (2024). 15 years of Adjoint Algorithmic Differentiation (AAD) in finance. Quantitative Finance. 24(9). 1353–1379.
4.
Giles, Michael B., et al.. (2024). Multilevel path branching for digital options. The Annals of Applied Probability. 34(5).
5.
Novotný, Jan, et al.. (2023). Accelerating Dedispersion Using Many-core Architectures. The Astrophysical Journal Supplement Series. 269(1). 29–29.
6.
Giles, Michael B., et al.. (2021). Multilevel and Quasi Monte Carlo Methods for the Calculation of the Expected Value of Partial Perfect Information. Medical Decision Making. 42(2). 168–181. 4 indexed citations
7.
Giles, Michael B., et al.. (2020). Effects of round-to-nearest and stochastic rounding in the numerical solution of the heat equation in low precision. arXiv (Cornell University). 8 indexed citations
8.
Giles, Michael B., Kristian Debrabant, & Andreas Rößler. (2018). Analysis of multilevel Monte Carlo using the Milstein discretisation. Discrete and Continuous Dynamical Systems - B. 1 indexed citations
9.
Giles, Michael B., et al.. (2014). GPU Implementation of Finite Difference Solvers. 1–8. 16 indexed citations
10.
Serylak, M., et al.. (2012). Observations of transients and pulsars with LOFAR international stations\n and the ARTEMIS backend. Oxford University Research Archive (ORA) (University of Oxford). 4 indexed citations
11.
Bertolli, Carlo, Adam Betts, Paul H. J. Kelly, Gihan R. Mudalige, & Michael B. Giles. (2012). Mesh independent loop fusion for unstructured mesh applications. 43–52. 3 indexed citations
12.
Lee, Anthony, Christopher Yau, Michael B. Giles, Randal Douc, & Chris Holmes. (2009). On the utility of graphics cards to perform massively parallel\nsimulation with advanced Monte Carlo methods.. Oxford University Research Archive (ORA) (University of Oxford). 151 indexed citations
13.
Duta, Mihai C., Shahrokh Shahpar, & Michael B. Giles. (2007). Turbomachinery Design Optimization Using Automatic Differentiated Adjoint Code. 1435–1444. 29 indexed citations
14.
Duta, Mihai C. & Michael B. Giles. (2006). The use of automatic differentiation for adjoint CFD codes. Research Repository (Delft University of Technology). 1 indexed citations
15.
Giles, Michael B., et al.. (2002). Preconditioned Iterative Solution of the 2D Helmholtz Equation. Oxford University Research Archive (ORA) (University of Oxford). 18 indexed citations
16.
Giles, Michael B., et al.. (2000). Flutter and Forced Response of Mistuned Turbomachinery. Oxford University Research Archive (ORA) (University of Oxford). 4 indexed citations
17.
Giles, Michael B. & Niles A. Pierce. (2000). Analytic Adjoint Solutions for the Quasi-1D Euler Equations. Oxford University Research Archive (ORA) (University of Oxford). 5 indexed citations
18.
Giles, Michael B.. (1997). Aerodynamic Design Optimisation for Complex Geometries Using Unstructured Grids. Oxford University Research Archive (ORA) (University of Oxford). 1 indexed citations
19.
Giles, Michael B.. (1995). Analysis of the Accuracy of Shock-Capturing in the Steady Quasi-1D Euler Equations. Oxford University Research Archive (ORA) (University of Oxford). 4 indexed citations
20.
Giles, Michael B., et al.. (1983). Asymptotic analysis of numerical wave propagation in finite difference equations. DSpace@MIT (Massachusetts Institute of Technology). 84. 15360. 4 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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