Matthew Dixon

1.0k total citations
42 papers, 426 citations indexed

About

Matthew Dixon is a scholar working on Management Science and Operations Research, Finance and Economics and Econometrics. According to data from OpenAlex, Matthew Dixon has authored 42 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Management Science and Operations Research, 14 papers in Finance and 11 papers in Economics and Econometrics. Recurrent topics in Matthew Dixon's work include Stock Market Forecasting Methods (11 papers), Stochastic processes and financial applications (10 papers) and Reservoir Engineering and Simulation Methods (5 papers). Matthew Dixon is often cited by papers focused on Stock Market Forecasting Methods (11 papers), Stochastic processes and financial applications (10 papers) and Reservoir Engineering and Simulation Methods (5 papers). Matthew Dixon collaborates with scholars based in United States, United Kingdom and Canada. Matthew Dixon's co-authors include Igor Halperin, Diego Klabjan, Cüneyt Gürcan Akçora, Yulia R. Gel, Murat Kantarcıoğlu, Justin London, Nick Polson, Mohammad Zubair, Jike Chong and Donna M. Qualters and has published in prestigious journals such as Technometrics, Physica A Statistical Mechanics and its Applications and Journal of the Royal Statistical Society Series C (Applied Statistics).

In The Last Decade

Matthew Dixon

40 papers receiving 404 citations

Peers

Matthew Dixon
Tiejun Ma United Kingdom
Arash Bahrammirzaee France
David Quintana Spain
Germán G. Creamer United States
Woojin Chang South Korea
Qiuyue Zhang China
Jia Zhai China
Rua‐Huan Tsaih Taiwan
Victor L. F. Souza Brazil
Tiejun Ma United Kingdom
Matthew Dixon
Citations per year, relative to Matthew Dixon Matthew Dixon (= 1×) peers Tiejun Ma

Countries citing papers authored by Matthew Dixon

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Dixon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Dixon

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Dixon. A scholar is included among the top collaborators of Matthew Dixon 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 Matthew Dixon. Matthew Dixon 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.
Dixon, Matthew, Yuzhou Chen, & Yulia R. Gel. (2025). Topological K-means clustering in reproducing kernel Hilbert spaces. Electronic Journal of Statistics. 19(1).
2.
Dixon, Matthew, et al.. (2022). Deep Partial Least Squares for Empirical Asset Pricing. SSRN Electronic Journal. 1 indexed citations
3.
Dixon, Matthew & George Lawson. (2022). From revolution and terrorism to revolutionary terrorism: the case of militant Salafism. International Affairs. 98(6). 2119–2139. 1 indexed citations
4.
Dixon, Matthew. (2021). Information-Corrected Estimation: A Generalization Error Reducing Parameter Estimation Method. MDPI (MDPI AG). 2 indexed citations
5.
Dixon, Matthew. (2020). Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks. SSRN Electronic Journal. 4 indexed citations
6.
Dixon, Matthew, et al.. (2020). Machine Learning in Finance: From Theory to Practice. 5 indexed citations
7.
Halperin, Igor & Matthew Dixon. (2019). “Quantum Equilibrium-Disequilibrium”: Asset price dynamics, symmetry breaking, and defaults as dissipative instantons. Physica A Statistical Mechanics and its Applications. 537. 122187–122187. 8 indexed citations
8.
Akçora, Cüneyt Gürcan, Matthew Dixon, Yulia R. Gel, & Murat Kantarcıoğlu. (2018). Bitcoin risk modeling with blockchain graphs. Economics Letters. 173. 138–142. 27 indexed citations
9.
10.
Dixon, Matthew, et al.. (2014). Sales: : Results, not process: Interaction. Harvard business review. 92(1). 2. 2 indexed citations
11.
Dixon, Matthew, Sabbir A. Khan, & Mohammad Zubair. (2014). Accelerating option risk analytics in R using GPUs. 24. 3 indexed citations
12.
Dixon, Matthew, et al.. (2013). The Effortless Experience. 3 indexed citations
13.
Dixon, Matthew, et al.. (2013). Detecting Mobility Patterns in Mobile Phone Data from the Ivory Coast. USF Scholarship Repository (University of San Francisco). 5 indexed citations
14.
Dixon, Matthew & Mohammad Zubair. (2013). Calibration of stochastic volatility models on a multi-core CPU cluster. 4. 1–7. 6 indexed citations
15.
Dixon, Matthew, et al.. (2013). Calibration of Stochastic Volatility Models on a Multi-Core CPU Cluster. SSRN Electronic Journal. 1 indexed citations
16.
Dixon, Matthew, et al.. (2013). Accelerating Option Risk Analytics in R Using GPUs. SSRN Electronic Journal. 1 indexed citations
17.
Dixon, Matthew, Jike Chong, & Kurt Keutzer. (2009). Acceleration of market value-at-risk estimation. 1–8. 9 indexed citations
18.
Dixon, Matthew. (2005). Information technology skills. Oxford University Research Archive (ORA) (University of Oxford).
19.
Dixon, Matthew, et al.. (2004). Investigating optimal replacement of aging air force systems. Defence and Peace Economics. 15(5). 421–431. 13 indexed citations
20.
Dixon, Matthew & C. J. Kenneth Tan. (2004). Using Distributed Computers to Deterministically Approximate Higher Dimensional Convection Diffusion Equations. The Journal of Supercomputing. 28(2). 235–253. 2 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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2026