Peter G. Moffatt

2.5k total citations
63 papers, 1.7k citations indexed

About

Peter G. Moffatt is a scholar working on Economics and Econometrics, General Decision Sciences and Safety Research. According to data from OpenAlex, Peter G. Moffatt has authored 63 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Economics and Econometrics, 19 papers in General Decision Sciences and 16 papers in Safety Research. Recurrent topics in Peter G. Moffatt's work include Decision-Making and Behavioral Economics (19 papers), Experimental Behavioral Economics Studies (14 papers) and Economic and Environmental Valuation (10 papers). Peter G. Moffatt is often cited by papers focused on Decision-Making and Behavioral Economics (19 papers), Experimental Behavioral Economics Studies (14 papers) and Economic and Environmental Valuation (10 papers). Peter G. Moffatt collaborates with scholars based in United Kingdom, Australia and China. Peter G. Moffatt's co-authors include Graham Loomes, Robert Sugden, Anne Daykin, Nicholas Bardsley, Anna Conte, Chris Starmer, Robin Cubitt, John D. Hey, Christoph Engel and Simon Peters and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Econometrics.

In The Last Decade

Peter G. Moffatt

57 papers receiving 1.5k 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 G. Moffatt United Kingdom 18 816 631 596 243 164 63 1.7k
Stephen V. Burks United States 18 593 0.7× 572 0.9× 862 1.4× 467 1.9× 179 1.1× 55 2.0k
Morten I. Lau United Kingdom 23 1.5k 1.9× 1.3k 2.1× 678 1.1× 259 1.1× 169 1.0× 52 2.6k
Cary Deck United States 23 785 1.0× 633 1.0× 699 1.2× 275 1.1× 410 2.5× 125 1.8k
Steffen Andersen Denmark 22 1.2k 1.5× 858 1.4× 677 1.1× 317 1.3× 165 1.0× 53 2.2k
Gijs van de Kuilen Netherlands 20 744 0.9× 752 1.2× 490 0.8× 255 1.0× 258 1.6× 37 1.6k
Chris D. Orme United Kingdom 13 779 1.0× 579 0.9× 239 0.4× 65 0.3× 227 1.4× 32 1.3k
Ferdinand M. Vieider Germany 21 453 0.6× 600 1.0× 394 0.7× 217 0.9× 117 0.7× 48 1.2k
Lyndon R. Babcock United States 6 509 0.6× 322 0.5× 332 0.6× 165 0.7× 95 0.6× 10 1.1k
Alessandro Bucciol Italy 19 471 0.6× 176 0.3× 250 0.4× 210 0.9× 89 0.5× 78 1.3k
Rudolf Kerschbamer Austria 19 632 0.8× 268 0.4× 728 1.2× 284 1.2× 253 1.5× 69 1.4k

Countries citing papers authored by Peter G. Moffatt

Since Specialization
Citations

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

Fields of papers citing papers by Peter G. Moffatt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter G. Moffatt

This figure shows the co-authorship network connecting the top 25 collaborators of Peter G. Moffatt. A scholar is included among the top collaborators of Peter G. Moffatt 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 G. Moffatt. Peter G. Moffatt 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.
Wang, Wenxue, et al.. (2025). Volatility spillovers and conditional correlations between oil, renewables and stock markets: A multivariate GARCH-in-mean analysis. Energy Strategy Reviews. 57. 101639–101639. 3 indexed citations
2.
Moffatt, Peter G., et al.. (2024). From theory to practice: Monetary policy transmission and bank risk dynamics. PLoS ONE. 19(4). e0299209–e0299209. 1 indexed citations
3.
Zeng, Jin, Yijia Zhang, Yun Yin, & Peter G. Moffatt. (2024). The effect of the Covid pandemic on stock market volatility: Separating initial impact from time-to-recovery. SHILAP Revista de lepidopterología. 4(4). 531–547. 1 indexed citations
4.
Conte, Anna, et al.. (2023). Gender and gambling preference. Applied Economics. 56(4). 426–439. 4 indexed citations
5.
Fearne, Andrew, et al.. (2021). Using supermarket loyalty card data to measure the differential impact of the UK soft drink sugar tax on buyer behaviour. Journal of Agricultural Economics. 73(2). 321–337. 5 indexed citations
6.
Moffatt, Peter G.. (2021). Experimetrics: A Survey. UEA Digital Repository (University of East Anglia). 11(1-2). 1–152. 1 indexed citations
7.
Conte, Anna, et al.. (2019). A test of risk vulnerability in the wider population. Theory and Decision. 88(1). 37–50. 5 indexed citations
8.
Moffatt, Peter G., et al.. (2017). Giving in Dictator Games - Experimenter Demand Effect or Preference over the Rules of the Game?. RePEc: Research Papers in Economics. 3 indexed citations
9.
Moffatt, Peter G.. (2016). Experimetrics: Econometrics for Experimental Economics. UEA Digital Repository (University of East Anglia). 128 indexed citations
10.
Conte, Anna, et al.. (2014). Assortative mating on risk attitude. Theory and Decision. 77(3). 389–401. 24 indexed citations
11.
Moffatt, Peter G., et al.. (2012). Can weight-related health risk be more accurately assessed by BMI, or by gender specific calculations of Percentage Body Fatness?. Medical Hypotheses. 79(5). 656–662. 20 indexed citations
12.
Conte, Anna, Peter G. Moffatt, Fabrizio Botti, Daniela Di Cagno, & Carlo D’Ippoliti. (2011). A test of the rational expectations hypothesis using data from a natural experiment. Applied Economics. 44(35). 4661–4678. 3 indexed citations
13.
Bardsley, Nicholas, Chris Starmer, Robin Cubitt, et al.. (2011). A response to Binmore, Harrison and Ross onExperimental Economics: Rethinking the Rules. Journal of Economic Methodology. 18(2). 195–199. 1 indexed citations
14.
Bardsley, Nicholas, Robin Cubitt, Graham Loomes, et al.. (2009). Experimental Economics: Rethinking the Rules. RePEc: Research Papers in Economics. 190 indexed citations
15.
Moffatt, Peter G., et al.. (2006). Inaccurate approximations in the modeling of hyper-inflations. Economics bulletin. 28(1). 1 indexed citations
16.
Moffatt, Peter G. & David Butler. (2001). The Demand For Goods Under Mixture Aversion. SSRN Electronic Journal.
17.
Moffatt, Peter G. & Simon Peters. (2001). Testing for the Presence of a Tremble in Economic Experiments. Experimental Economics. 4(3). 221–228. 16 indexed citations
18.
Butler, David & Peter G. Moffatt. (2000). The Demand For Goods Under Mixture Aversion. Manchester School. 68(3). 349–359. 3 indexed citations
19.
Smith, Murray & Peter G. Moffatt. (1999). Theory & Methods: Fisher’s Information on the Correlation Coefficient in Bivariate Logistic Models. Australian & New Zealand Journal of Statistics. 41(3). 315–330. 17 indexed citations
20.
Moffatt, Peter G.. (1995). Grouped poisson regression models: theory and an application to public house visit frequency. Communication in Statistics- Theory and Methods. 24(11). 2779–2796. 7 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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