Peter Dixon

4.5k total citations
193 papers, 2.0k citations indexed

About

Peter Dixon is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Sociology and Political Science. According to data from OpenAlex, Peter Dixon has authored 193 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Economics and Econometrics, 58 papers in General Economics, Econometrics and Finance and 22 papers in Sociology and Political Science. Recurrent topics in Peter Dixon's work include Global trade and economics (31 papers), Fiscal Policy and Economic Growth (31 papers) and Economic Growth and Productivity (23 papers). Peter Dixon is often cited by papers focused on Global trade and economics (31 papers), Fiscal Policy and Economic Growth (31 papers) and Economic Growth and Productivity (23 papers). Peter Dixon collaborates with scholars based in Australia, United States and United Kingdom. Peter Dixon's co-authors include Maureen T. Rimmer, Brian R. Parmenter, Jayant Menon, John Sutton, David Feldman, Alan A. Powell, Glyn Wittwer, Adam Rose, James Giesecke and Philip Adams and has published in prestigious journals such as American Economic Review, Annals of Neurology and Journal of Educational Psychology.

In The Last Decade

Peter Dixon

168 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Dixon Australia 22 1.1k 627 227 181 171 193 2.0k
Maureen T. Rimmer Australia 19 687 0.6× 349 0.6× 151 0.7× 141 0.8× 92 0.5× 100 1.2k
E. J. Mishan United Kingdom 24 1.5k 1.4× 311 0.5× 420 1.9× 126 0.7× 133 0.8× 102 2.5k
Alistair Ulph United Kingdom 30 1.9k 1.8× 327 0.5× 112 0.5× 547 3.0× 117 0.7× 86 2.4k
Luca Bertolini Netherlands 39 400 0.4× 322 0.5× 384 1.7× 45 0.2× 254 1.5× 135 5.4k
James M. Henderson United States 16 676 0.6× 182 0.3× 124 0.5× 74 0.4× 127 0.7× 37 1.4k
Luis Orea Spain 22 892 0.8× 170 0.3× 63 0.3× 231 1.3× 112 0.7× 46 1.6k
Kenneth J. White United States 19 700 0.6× 262 0.4× 215 0.9× 42 0.2× 108 0.6× 35 1.5k
Javier Gutiérrez Puebla Spain 31 666 0.6× 639 1.0× 870 3.8× 74 0.4× 179 1.0× 107 4.9k
Wim Meeusen Belgium 9 2.4k 2.2× 682 1.1× 96 0.4× 98 0.5× 472 2.8× 31 4.6k
Andrés Monzón de Cáceres Spain 32 525 0.5× 491 0.8× 158 0.7× 184 1.0× 181 1.1× 206 3.6k

Countries citing papers authored by Peter Dixon

Since Specialization
Citations

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

Fields of papers citing papers by Peter Dixon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Dixon

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Dixon. A scholar is included among the top collaborators of Peter 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 Peter Dixon. Peter 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, Peter & Maureen T. Rimmer. (2025). Creating a GTAP baseline for 2014 to 2050 using shock-intensive simulations. 10(1). 50–105.
2.
Dixon, Peter & Maureen T. Rimmer. (2022). Who will pay for workplace reforms in U.S. meat‐processing plants? Simulation results from the USAGE model*. Australian Journal of Agricultural and Resource Economics. 66(2). 400–423. 1 indexed citations
3.
Mason-D’Croz, Daniel, Anne Barnhill, Justin Bernstein, et al.. (2022). Ethical and economic implications of the adoption of novel plant-based beef substitutes in the USA: a general equilibrium modelling study. The Lancet Planetary Health. 6(8). e658–e669. 27 indexed citations
4.
Dixon, Peter & Maureen T. Rimmer. (2021). Coping with seasonality in a quarterly CGE model: COVID‐19 and U.S. agriculture*. Australian Journal of Agricultural and Resource Economics. 65(4). 802–821. 2 indexed citations
5.
Dixon, Peter & Maureen T. Rimmer. (2021). Winners and losers in global supply chain trade: Embedding GSC in CGE. Economic Modelling. 106. 105670–105670. 6 indexed citations
6.
Dixon, Peter, A. Pavan, & N. V. Vinodchandran. (2021). Complete Problems for Multi-Pseudodeterministic Computations. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 16. 1 indexed citations
7.
Dixon, Peter, Hans van Meijl, Maureen T. Rimmer, Lindsay Shutes, & Andrzej Tabeau. (2015). RED versus REDD: Biofuel policy versus forest conservation. Economic Modelling. 52. 366–374. 16 indexed citations
8.
Dixon, Peter. (2011). Special Treasures. Early Years Educator. 12(12). 66–66. 2 indexed citations
9.
Dixon, Peter, et al.. (2010). Effects on the U.S. of an H1N1 Epidemic: Analysis with a Quarterly CGE Model. Journal of Homeland Security and Emergency Management. 7(1). 67 indexed citations
10.
Dixon, Peter & Maureen T. Rimmer. (2010). Validating a Detailed, Dynamic CGE Model of the USA*. Economic Record. 86(s1). 22–34. 26 indexed citations
11.
Dixon, Peter & Maureen T. Rimmer. (2009). Restriction or Legalization? Measuring the Economic Benefits of Immigration Reform. Victoria University Research Repository (Victoria University). 15 indexed citations
12.
Dixon, Peter. (2009). Comments on the Productivity Commission’s Modelling of the Economy‐Wide Effects of Future Automotive Assistance*. Economic Papers A journal of applied economics and policy. 28(1). 11–18. 14 indexed citations
13.
Pritchard, Catherine & Peter Dixon. (2008). Reporting of skin cancer risks in the house-building industry: Alternative approaches to the analysis of categorical data. Public Health. 122(3). 237–242. 6 indexed citations
14.
Whicker, F. W., K. Bunzl, Peter Dixon, et al.. (2006). 6 Temporal and Spatio-Temporal Sampling Problems. Journal of the ICRU. 6(1). 65–76. 1 indexed citations
15.
Whicker, F. W., K. Bunzl, Peter Dixon, et al.. (2006). 4 Estimating Statistical Quantities: Mean, Total, Proportion, Percentile, and Ratio. Journal of the ICRU. 6(1). 35–48. 1 indexed citations
16.
Dixon, Peter & Glyn Wittwer. (2004). Forecasting the economic impact of an industrial stoppage using a dynamic, computable general equilibrium model. Victoria University Research Repository (Victoria University). 7(1). 39–51. 2 indexed citations
17.
Whicker, F. W., et al.. (2001). Quantities and Units in Radioecology. Journal of the ICRU. 1(2). 11–17. 2 indexed citations
18.
Adams, Philip & Peter Dixon. (2001). The September 11 shock to tourism and the Australian economy from 2001-02 to 2003-04. Australian bulletin of labour. 27(4). 241–257. 13 indexed citations
19.
Dixon, Peter & Maureen T. Rimmer. (1999). Changes in Indirect Taxes in Australia: A Dynamic General Equilibrium Analysis. Australian Economic Review. 32(4). 327–348. 24 indexed citations
20.
Dixon, Peter, Alan A. Powell, & Brian R. Parmenter. (1979). Structural adaptation in an ailing macroeconomy : report to the Study Group on Structural Adjustment (Crawford Committee). 6 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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