Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Viscous-inviscid analysis of transonic and low Reynolds number airfoils
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
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.
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
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
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
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.