Stephen L. Cheung

60 total papers · 919 total citations
30 papers, 534 citations indexed

About

Stephen L. Cheung is a scholar working on Safety Research, Economics and Econometrics and General Decision Sciences. According to data from OpenAlex, Stephen L. Cheung has authored 30 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Safety Research, 13 papers in Economics and Econometrics and 12 papers in General Decision Sciences. Recurrent topics in Stephen L. Cheung's work include Experimental Behavioral Economics Studies (13 papers), Decision-Making and Behavioral Economics (12 papers) and Financial Markets and Investment Strategies (6 papers). Stephen L. Cheung is often cited by papers focused on Experimental Behavioral Economics Studies (13 papers), Decision-Making and Behavioral Economics (12 papers) and Financial Markets and Investment Strategies (6 papers). Stephen L. Cheung collaborates with scholars based in Australia, Germany and Austria. Stephen L. Cheung's co-authors include Stefan Palan, Morten Hedegaard, Agnieszka Tymula, Andrew Coleman, Gonne Beekman, Robert Slonim, Kadir Atalay and David Butler and has published in prestigious journals such as American Economic Review, The Economic Journal and European Economic Review.

In The Last Decade

Stephen L. Cheung

29 papers receiving 467 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Stephen L. Cheung 265 170 131 130 87 30 534
Holger A. Rau 216 0.8× 204 1.2× 97 0.7× 87 0.7× 120 1.4× 37 570
Doron Sonsino 198 0.7× 257 1.5× 206 1.6× 77 0.6× 93 1.1× 41 505
Ola Kvaløy 247 0.9× 265 1.6× 129 1.0× 50 0.4× 67 0.8× 45 578
Chetan Dave 334 1.3× 158 0.9× 210 1.6× 106 0.8× 85 1.0× 23 602
Stefan Traub 293 1.1× 110 0.6× 190 1.5× 60 0.5× 101 1.2× 29 551
Francis Tapon 236 0.9× 136 0.8× 49 0.4× 104 0.8× 53 0.6× 28 583
Jonathan de Quidt 286 1.1× 157 0.9× 60 0.5× 47 0.4× 157 1.8× 18 563
Reuven Brenner 215 0.8× 57 0.3× 57 0.4× 74 0.6× 182 2.1× 40 597
Pablo Casas‐Arce 167 0.6× 210 1.2× 65 0.5× 24 0.2× 59 0.7× 28 487
F.A.A.M. van Winden 341 1.3× 127 0.7× 50 0.4× 29 0.2× 167 1.9× 37 593

Countries citing papers authored by Stephen L. Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Stephen L. Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen L. Cheung. 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 Stephen L. Cheung. The network helps show where Stephen L. Cheung may publish in the future.

Co-authorship network of co-authors of Stephen L. Cheung

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen L. Cheung. A scholar is included among the top collaborators of Stephen L. Cheung 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 Stephen L. Cheung. Stephen L. Cheung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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