Brad Baxter

497 total citations
17 papers, 181 citations indexed

About

Brad Baxter is a scholar working on Mechanics of Materials, Applied Mathematics and Computational Theory and Mathematics. According to data from OpenAlex, Brad Baxter has authored 17 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Mechanics of Materials, 7 papers in Applied Mathematics and 6 papers in Computational Theory and Mathematics. Recurrent topics in Brad Baxter's work include Numerical methods in engineering (6 papers), Advanced Numerical Analysis Techniques (5 papers) and Economic theories and models (3 papers). Brad Baxter is often cited by papers focused on Numerical methods in engineering (6 papers), Advanced Numerical Analysis Techniques (5 papers) and Economic theories and models (3 papers). Brad Baxter collaborates with scholars based in United Kingdom, United States and Mexico. Brad Baxter's co-authors include George Roussos, Stephen H. Wright, Liam Graham, J. D. Ward, Raymond Brummelhuis, Charles A. Micchelli, Tom M. W. Nye and Walter R. Gilks and has published in prestigious journals such as SIAM Journal on Scientific Computing, Computers & Mathematics with Applications and Journal of Computational and Applied Mathematics.

In The Last Decade

Brad Baxter

16 papers receiving 165 citations

Peers

Brad Baxter
Torsten Hein Germany
Brad Baxter
Citations per year, relative to Brad Baxter Brad Baxter (= 1×) peers Torsten Hein

Countries citing papers authored by Brad Baxter

Since Specialization
Citations

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

Fields of papers citing papers by Brad Baxter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brad Baxter

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

All Works

17 of 17 papers shown
1.
Baxter, Brad & Raymond Brummelhuis. (2022). Convergence Estimates for Stationary Radial Basis Function Interpolation and for Semi-discrete Collocation-Schemes. Journal of Fourier Analysis and Applications. 28(3). 3 indexed citations
2.
Baxter, Brad. (2010). On kernel engineering via Paley–Wiener. CALCOLO. 48(1). 21–31. 3 indexed citations
3.
Baxter, Brad, Liam Graham, & Stephen H. Wright. (2010). Invertible and non-invertible information sets in linear rational expectations models. Journal of Economic Dynamics and Control. 35(3). 295–311. 13 indexed citations
4.
Baxter, Brad & Stephen H. Wright. (2008). Invertible and Non-Invertible Information Sets in Dynamic Stochastic General Equilibrium. 3 indexed citations
5.
Baxter, Brad. (2008). On Spherical Averages of Radial Basis Functions. Foundations of Computational Mathematics. 8(3). 395–407. 3 indexed citations
6.
Nye, Tom M. W., Brad Baxter, & Walter R. Gilks. (2007). A Covariance Matrix Inversion Problem arising from the Construction of Phylogenetic Trees. LMS Journal of Computation and Mathematics. 10. 119–131. 1 indexed citations
7.
Baxter, Brad, Liam Graham, & Stephen H. Wright. (2007). The Endogenous Kalman Filter. SSRN Electronic Journal. 2 indexed citations
8.
Baxter, Brad. (2006). Scaling radial basis functions via euclidean distance matrices. Computers & Mathematics with Applications. 51(8). 1163–1170. 1 indexed citations
9.
Baxter, Brad. (2004). Positive definite functions on Hilbert space. East journal on approximations. 10(3). 269–274. 3 indexed citations
10.
Roussos, George & Brad Baxter. (2004). Rapid evaluation of radial basis functions. Journal of Computational and Applied Mathematics. 180(1). 51–70. 20 indexed citations
11.
Baxter, Brad. (2002). Preconditioned conjugate gradients, radial basis functions, and Toeplitz matrices. Computers & Mathematics with Applications. 43(3-5). 305–318. 18 indexed citations
12.
Baxter, Brad & George Roussos. (2002). A New Error Estimate of the Fast Gauss Transform. SIAM Journal on Scientific Computing. 24(1). 257–259. 31 indexed citations
13.
Baxter, Brad, et al.. (1996). On Shifted Cardinal Interpolation by Gaussians and Multiquadrics. Journal of Approximation Theory. 87(1). 36–59. 21 indexed citations
14.
Baxter, Brad. (1994). Norm Estimates for Inverses of Toeplitz Distance Matrices. Journal of Approximation Theory. 79(2). 222–242. 23 indexed citations
15.
Baxter, Brad & Charles A. Micchelli. (1994). Norm estimates for thel 2-inverses of multivariate Toeplitz matrices. Numerical Algorithms. 6(1). 103–117. 4 indexed citations
16.
Baxter, Brad, et al.. (1994). Regarding thep-norms of radial basis interpolation matrices. Constructive Approximation. 10(4). 451–468. 8 indexed citations
17.
Baxter, Brad. (1992). The asymptotic cardinal function of the multiquadratic ϕ(r) = (r2 + c2)12as c→∞. Computers & Mathematics with Applications. 24(12). 1–6. 24 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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