Brad Baxter

16 papers receiving 165 citations

Peers

Brad Baxter
Comparison fields: 5 of 45
  • Applied Mathematics 41
  • Computational Mechanics 71
  • Numerical Analysis 18
  • Mechanics of Materials 74
  • General Economics, Econometrics and Finance 16
Replace Werner Haußmann with:
Werner Haußmann Germany
Iain Smears United Kingdom
Rémi Arcangéli Spain
Marcel G. de Bruin Netherlands
Torsten Hein Germany
Chunsheng Feng China
Giacomo Gigante Italy
Kerstin Hesse Australia
Harald Grossauer Austria
Christiane Pöschl Austria
Brad Baxter relative to Werner Haußmann Germany Werner Haußmann's profile →
Citations per field
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Citations per year

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-authors

The 8 scholars most cited alongside Brad Baxter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Brad Baxter Line = papers co-authored together Brad Baxter links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 200231
2 199224
3 199423
4 199621
5 200420
6 200218
7 201013
8 19948
9 19944
10
Positive definite functions on Hilbert space
20043
11 20103
12
Invertible and Non-Invertible Information Sets in Dynamic Stochastic General Equilibrium
20083
13 20083
14 20223
15 20072
16 20061
17 20071

About Brad Baxter

Brad Baxter is a scholar working on Mechanics of Materials, Applied Mathematics, Computational Theory and Mathematics, Computational Mechanics and Mathematical Physics, having authored 17 papers that have together received 181 indexed citations. Recurring topics across this work include Numerical methods in engineering (6 papers), Advanced Numerical Analysis Techniques (5 papers), Monetary Policy and Economic Impact (3 papers), Economic theories and models (3 papers), Mathematical Analysis and Transform Methods (3 papers), Advanced Mathematical Modeling in Engineering (3 papers), Economic Theory and Policy (3 papers) and Electromagnetic Scattering and Analysis (2 papers). The work is most often cited by research in Applied Mathematics (41 citations), Computational Mechanics (71 citations), Numerical Analysis (18 citations), Mechanics of Materials (74 citations) and General Economics, Econometrics and Finance (16 citations). Brad Baxter has collaborated with scholars based in United Kingdom, United States and Mexico. Frequent co-authors include George Roussos, Stephen H. Wright, Liam Graham, J. D. Ward, Charles A. Micchelli, Raymond Brummelhuis, Walter R. Gilks and Tom M. W. Nye. Their work appears in journals such as Computers & Mathematics with Applications, Journal of Approximation Theory, Journal of Economic Dynamics and Control, Constructive Approximation and Foundations of Computational Mathematics.

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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