Robin Cubitt

2.7k citations
42 papers · 1.7k · h-index 21

Impact in

Papers in

Robin Cubitt

41 papers receiving 1.6k citations

Peers

Robin Cubitt
Comparison fields: 5 of 98
  • General Decision Sciences 869
  • Safety Research 842
  • Economics and Econometrics 892
  • Management Science and Operations Research 249
  • Applied Psychology 77
Replace Gijs van de Kuilen with:
Gijs van de Kuilen Netherlands
Shachar Kariv United States
Juan D. Carrillo United States
Charles Bram Cadsby Canada
Jörg Oechssler Germany
Erik Snowberg United States
Theo Offerman Netherlands
Dirk Engelmann Germany
Nagore Iriberri Spain
Yuval Rottenstreich United States
Robin Cubitt relative to Gijs van de Kuilen Netherlands Gijs van de Kuilen's profile →
Citations per field
00.5×1.7×
Gijs van de Kuilen · 1×
Citations per year

Countries citing papers authored by Robin Cubitt

Since Specialization
Citations

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

Fields of papers citing papers by Robin Cubitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Robin Cubitt, 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 Robin Cubitt Line = papers co-authored together Robin Cubitt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998221
2 1998190
3
Experimental Economics: Rethinking the Rules
2009189
4 2010118
5 2010117
6 200393
7 199486
8 200783
9 199874
10 201059
11 199254
12 200450
13 200146
14 200145
15 201535
16 201527
17 199527
18 200124
19 199821
20 199621

About Robin Cubitt

Robin Cubitt is a scholar working on Economics and Econometrics, General Decision Sciences, Safety Research, Management Science and Operations Research and Cognitive Neuroscience, having authored 42 papers that have together received 1.7k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (24 papers), Experimental Behavioral Economics Studies (20 papers), Economic and Environmental Valuation (11 papers), Economic theories and models (11 papers), Game Theory and Applications (6 papers), Game Theory and Voting Systems (4 papers), Economic Theory and Institutions (4 papers) and Economic Theory and Policy (4 papers). The work is most often cited by research in General Decision Sciences (869 citations), Safety Research (842 citations), Economics and Econometrics (892 citations), Management Science and Operations Research (249 citations) and Applied Psychology (77 citations). Robin Cubitt has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Robert Sugden, Chris Starmer, Simon Gächter, Michalis Drouvelis, Peter G. Moffatt, Nicholas Bardsley, Graham Loomes, Daniel Read, Jürgen Eichberger and Alistair Munro. Their work appears in journals such as The Economic Journal, Experimental Economics, Journal of Risk and Uncertainty, Journal of Economic Methodology and Economics and Philosophy.

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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