Ivan G. Graham

4.3k total citations
80 papers, 2.7k citations indexed

About

Ivan G. Graham is a scholar working on Computational Mechanics, Mechanics of Materials and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Ivan G. Graham has authored 80 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computational Mechanics, 34 papers in Mechanics of Materials and 29 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Ivan G. Graham's work include Advanced Numerical Methods in Computational Mathematics (38 papers), Numerical methods in engineering (30 papers) and Electromagnetic Scattering and Analysis (29 papers). Ivan G. Graham is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (38 papers), Numerical methods in engineering (30 papers) and Electromagnetic Scattering and Analysis (29 papers). Ivan G. Graham collaborates with scholars based in United Kingdom, Australia and United States. Ivan G. Graham's co-authors include Robert Scheichl, Ian H. Sloan, M. Ganesh, Euan A. Spence, Vı́ctor Domínguez, Simon N. Chandler‐Wilde, V. P. Smyshlyaev, Graeme Chandler, S. Langdon and Mark A. J. Chaplain and has published in prestigious journals such as Journal of Computational Physics, Mathematics of Computation and SIAM Journal on Numerical Analysis.

In The Last Decade

Ivan G. Graham

80 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan G. Graham United Kingdom 33 1.1k 1.1k 892 851 662 80 2.7k
Jun Zou Hong Kong 34 2.0k 1.9× 1.4k 1.3× 615 0.7× 1.3k 1.5× 973 1.5× 169 4.3k
Robert Schaback Germany 31 2.2k 2.0× 2.8k 2.6× 301 0.3× 396 0.5× 562 0.8× 106 4.2k
Michael A. Golberg United States 27 1.2k 1.1× 2.5k 2.3× 568 0.6× 285 0.3× 644 1.0× 91 3.4k
V. I. Krylov Russia 8 532 0.5× 949 0.9× 520 0.6× 433 0.5× 307 0.5× 16 3.3k
J. A. C. Weideman South Africa 22 616 0.6× 279 0.3× 481 0.5× 400 0.5× 389 0.6× 49 2.7k
Natasha Flyer United States 26 1.2k 1.1× 1.2k 1.1× 266 0.3× 211 0.2× 431 0.7× 58 2.5k
Ragnar Winther Norway 31 3.1k 2.8× 1.3k 1.2× 298 0.3× 1.5k 1.7× 741 1.1× 81 3.9k
T. A. Zang United States 18 2.2k 2.0× 505 0.5× 213 0.2× 346 0.4× 282 0.4× 43 4.1k
Martin J. Gander Switzerland 33 2.2k 2.0× 623 0.6× 753 0.8× 1.5k 1.8× 1.4k 2.1× 158 3.6k
Wei Cai United States 28 496 0.5× 296 0.3× 847 0.9× 195 0.2× 1.1k 1.6× 148 2.5k

Countries citing papers authored by Ivan G. Graham

Since Specialization
Citations

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

Fields of papers citing papers by Ivan G. Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan G. Graham. 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 Ivan G. Graham. The network helps show where Ivan G. Graham may publish in the future.

Co-authorship network of co-authors of Ivan G. Graham

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan G. Graham. A scholar is included among the top collaborators of Ivan G. Graham 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 Ivan G. Graham. Ivan G. Graham 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.
Graham, Ivan G., et al.. (2024). A Filon-Clenshaw-Curtis-Smolyak rule for multi-dimensional oscillatory integrals with application to a UQ problem for the Helmholtz equation. Mathematics of Computation. 94(354). 1911–1946. 3 indexed citations
2.
Gazzola, Silvia, et al.. (2024). Optimising seismic imaging design parameters via bilevel learning. Inverse Problems. 40(11). 115008–115008. 1 indexed citations
3.
Graham, Ivan G., et al.. (2022). Convergence of restricted additive Schwarz with impedance transmission conditions for discretised Helmholtz problems. Mathematics of Computation. 92(339). 175–215. 8 indexed citations
4.
Graham, Ivan G., et al.. (2020). Code Release: Multigrid preconditioners for the hybridized Discontinuous Galerkin discretisation of the shallow water equations. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
5.
Dolean, Victorita, et al.. (2019). Domain decomposition preconditioning for the high-frequency time-harmonic Maxwell equations with absorption. Mathematics of Computation. 88(320). 2559–2604. 27 indexed citations
6.
Graham, Ivan G., Frances Y. Kuo, Dirk Nuyens, Robert Scheichl, & Ian H. Sloan. (2018). Circulant embedding with QMC: analysis for elliptic PDE with lognormal coefficients. Numerische Mathematik. 140(2). 479–511. 15 indexed citations
7.
Davenport, James H., et al.. (2014). Interdisciplinary Teaching of Computing to Mathematics Students: Programming and Discrete Mathematics. MSOR Connections. 1–8. 2 indexed citations
8.
Graham, Ivan G., et al.. (2010). A new multiscale finite element method for high-contrast elliptic interface problems. Mathematics of Computation. 79(272). 1915–1955. 132 indexed citations
9.
Scheichl, Robert, et al.. (2009). Energy‐minimizing coarse spaces for two‐level Schwarz methods for multiscale PDEs. Numerical Linear Algebra with Applications. 16(10). 775–799. 24 indexed citations
10.
Aksoylu, Burak, Ivan G. Graham, Héctor Klíe, & Robert Scheichl. (2008). Towards a rigorously justified algebraic preconditioner for high-contrast diffusion problems. Computing and Visualization in Science. 11(4-6). 319–331. 20 indexed citations
11.
Graham, Ivan G., et al.. (2006). Inexact inverse iteration for symmetric matrices. Linear Algebra and its Applications. 416(2-3). 389–413. 36 indexed citations
12.
Graham, Ivan G. & William McLean. (2006). Anisotropic Mesh Refinement: The Conditioning of Galerkin Boundary Element Matrices and Simple Preconditioners. SIAM Journal on Numerical Analysis. 44(4). 1487–1513. 23 indexed citations
13.
Graham, Ivan G., A. Spence, & Eero Vainikko. (2002). Parallel Iterative Methods for Navier-Stokes Equations and Application to Stability Assessment (Distinguished Paper). 705–714. 1 indexed citations
14.
Chaplain, Mark A. J., M. Ganesh, & Ivan G. Graham. (2001). Spatio-temporal pattern formation on spherical surfaces: numerical simulation and application to solid tumour growth. Journal of Mathematical Biology. 42(5). 387–423. 152 indexed citations
15.
Graham, Ivan G., Wolfgang Hackbusch, & Stefan Sauter. (2000). Hybrid Galerkin boundary elements: theory and implementation. Numerische Mathematik. 86(1). 139–172. 9 indexed citations
16.
Graham, Ivan G., et al.. (1999). Unstructured Additive Schwarz--Conjugate Gradient Method for Elliptic Problems with Highly Discontinuous Coefficients. SIAM Journal on Scientific Computing. 20(6). 2041–2066. 53 indexed citations
17.
Graham, Ivan G. & Yi Yan. (1991). Piecewise-constant collocation for first-kind boundary integral equations. The Journal of the Australian Mathematical Society Series B Applied Mathematics. 33(1). 39–64. 10 indexed citations
18.
Chandler, Graeme & Ivan G. Graham. (1988). Product integration-collocation methods for noncompact integral operator equations. Mathematics of Computation. 50(181). 125–138. 49 indexed citations
19.
Graham, Ivan G.. (1985). Estimates for the modulus of smoothness. Journal of Approximation Theory. 44(2). 95–112. 7 indexed citations
20.
Graham, Ivan G.. (1982). Galerkin Methods for Second Kind Integral Equations with Singularities. Mathematics of Computation. 39(160). 519–519. 14 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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