Peter Ayton

3.6k citations
89 papers · 2.2k indexed · h-index 24

Peter Ayton

89 papers receiving 2.1k citations

Peers

Peter Ayton
Comparison fields: 5 of 154
  • General Decision Sciences 788
  • Applied Psychology 236
  • Health Informatics 50
  • Safety Research 211
  • Management Science and Operations Research 287
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Citations per year

Countries citing papers authored by Peter Ayton

Since Specialization
Citations

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

Fields of papers citing papers by Peter Ayton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20242
3 20234
4 20232
5 202126
6 20213
7 20197
8 201764
9
Now I like it, now I don’t: Delay effects and retrospective judgment
20112
10 20118
11 201113
12
Memory strategies mediate the relationships between memory and judgment
20092
13 200914
14 200921
15 200911
16
Are Heuristics a Problem or a Solution
20061
17 200642
18 2004306
19
Staying at home
19942
20
Actor-observer differences in judgmental probability forecasting of control response efficacy
19901

About Peter Ayton

Peter Ayton is a scholar working on General Decision Sciences, Applied Psychology, Management Science and Operations Research, Accounting and Safety Research, having authored 89 papers that have together received 2.2k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (38 papers), Forecasting Techniques and Applications (16 papers), Financial Literacy, Pension, Retirement Analysis (9 papers), Economic and Environmental Valuation (7 papers), Experimental Behavioral Economics Studies (6 papers), Behavioral Health and Interventions (6 papers), Criminal Justice and Corrections Analysis (6 papers) and Sports Analytics and Performance (6 papers). The work is most often cited by research in General Decision Sciences (788 citations), Applied Psychology (236 citations), Health Informatics (50 citations), Safety Research (211 citations) and Management Science and Operations Research (287 citations). Peter Ayton has collaborated with scholars based in United Kingdom, United States and Norway. Frequent co-authors include Hal R. Arkes, Ilan Fischer, George Wright, Mandeep K. Dhami, George Loewenstein, Andrey Povyakalo, Eugenio Alberdi, Lorenzo Strigini, Petko Kusev and Emmanuelle Peters. Their work appears in journals such as Journal of Behavioral Decision Making, Frontiers in Psychology, Journal of Risk Research, Organizational Behavior and Human Decision Processes and Personality and Individual Differences.

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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