Daniel L. Chen

69 papers receiving 2.7k citations

Daniel L. Chen's Hit Papers

oTree - An Open-Source Platform for Laboratory, Online, and Field Experiments 2016 · 861 citations
8610+4+9Years since publication250500750

Peers

Daniel L. Chen
Comparison fields: 5 of 117
  • General Decision Sciences 273
  • Safety Research 612
  • Computer Science Applications 175
  • Statistics and Probability 240
  • Economics and Econometrics 366
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Countries citing papers authored by Daniel L. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Daniel L. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1
oTree - An Open-Source Platform for Laboratory, Online, and Field Experiments
Hit paper breakdown →
2016861
2
Sparse Models and Methods for Optimal Instruments With an Application to Eminent Domain
Hit paper breakdown →
2012497
3 2011186
4 2007165
5 2010144
6 2016133
7 2020133
8 201678
9 200267
10 202151
11 201849
12 199941
13 201634
14 202131
15 202226
16 201717
17 202117
18 201414
19 201614
20 201714

About Daniel L. Chen

Daniel L. Chen is a scholar working on Law, General Decision Sciences, Economics and Econometrics, Safety Research and Political Science and International Relations, having authored 84 papers that have together received 2.8k indexed citations. Recurring topics across this work include Judicial and Constitutional Studies (21 papers), Artificial Intelligence in Law (14 papers), Law, Economics, and Judicial Systems (12 papers), Experimental Behavioral Economics Studies (11 papers), Decision-Making and Behavioral Economics (9 papers), Survey Methodology and Nonresponse (4 papers), Electoral Systems and Political Participation (4 papers) and Law, Rights, and Freedoms (3 papers). The work is most often cited by research in General Decision Sciences (273 citations), Safety Research (612 citations), Computer Science Applications (175 citations), Statistics and Probability (240 citations) and Economics and Econometrics (366 citations). Daniel L. Chen has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Martin Schonger, Chris D. Wickens, Victor Chernozhukov, Alexandre Belloni, Eric Reinhart, John Joseph Horton, Aaron Shaw, Michael R. Kremer, Tobias J. Moskowitz and Kelly Shue. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Economic Behavior & Organization, The Quarterly Journal of Economics, Journal of Behavioral and Experimental Finance and Journal of Behavioral and Experimental Economics.

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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