Matt S. Davison

2.1k citations
96 papers · 1.5k · h-index 18

Impact in

  • Finance top 2%
    • Stochastic processes and financial applications
    • Capital Investment and Risk Analysis
    • Fractional Differential Equations Solutions

Papers in

    • Stochastic processes and financial applications 20
    • Capital Investment and Risk Analysis 6
    • Fractional Differential Equations Solutions 5

Matt S. Davison

90 papers receiving 1.4k citations

Peers

Matt S. Davison
Comparison fields: 5 of 80
  • Finance 242
  • Modeling and Simulation 67
  • Statistical and Nonlinear Physics 114
  • Energy Engineering and Power Technology 18
  • Economics and Econometrics 93
Replace Peter Tankov with:
Peter Tankov France
Joseph Abate United States
Yves Achdou France
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Marie-Thérèse Wolfram United Kingdom
Michael Sørensen Denmark
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Citations per field
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Citations per year

Countries citing papers authored by Matt S. Davison

Since Specialization
Citations

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

Fields of papers citing papers by Matt S. Davison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matt S. Davison. 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 Matt S. Davison. The network helps show where Matt S. Davison may publish in the future.

Co-authors

The 25 scholars most cited alongside Matt S. Davison, 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 Matt S. Davison Line = papers co-authored together Matt S. Davison links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999233
2 2004125
3 200989
4 200473
5 200272
6 200669
7 200845
8 200342
9 200540
10 200834
11 200030
12 200928
13 201126
14 200424
15 200123
16 201223
17 202121
18 200618
19 201918
20 200116

About Matt S. Davison

Matt S. Davison is a scholar working on Finance, Modeling and Simulation, Statistical and Nonlinear Physics, Economics and Econometrics and Radiation, having authored 96 papers that have together received 1.5k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (20 papers), Capital Investment and Risk Analysis (6 papers), Fractional Differential Equations Solutions (5 papers), Electric Power System Optimization (4 papers), Statistical Mechanics and Entropy (3 papers), Advanced Radiotherapy Techniques (3 papers), Chaos control and synchronization (2 papers) and Software Testing and Debugging Techniques (2 papers). The work is most often cited by research in Finance (242 citations), Modeling and Simulation (67 citations), Statistical and Nonlinear Physics (114 citations), Energy Engineering and Power Technology (18 citations) and Economics and Econometrics (93 citations). Matt S. Davison has collaborated with scholars based in Canada, Switzerland and United States. Frequent co-authors include J. S. Shiner, P. T. Landsberg, Henning Rasmussen, C. Lindsay Anderson, Christopher Essex, Rogemar S. Mamon, Jichao Zhao, Robert M. Corless, K. H. Hoffmann and Tao Chen. Their work appears in journals such as IEEE Transactions on Power Systems, Energy Economics, Medical Physics, Mathematical and Computer Modelling and Open Systems & Information Dynamics.

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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