Dmitry Taubinsky

2.8k citations
40 papers · 1.3k indexed · 1 hit paper · h-index 15

Dmitry Taubinsky

37 papers receiving 1.2k citations

Hit Papers

Regressive Sin Taxes, with an Application to the Optimal ...185201920262021202350100150

Peers

Dmitry Taubinsky
Comparison fields: 5 of 94
  • General Decision Sciences 192
  • Economics and Econometrics 776
  • Renewable Energy, Sustainability and the Environment 344
  • Safety Research 142
  • Accounting 176
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Citations per year

Countries citing papers authored by Dmitry Taubinsky

Since Specialization
Citations

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

Fields of papers citing papers by Dmitry Taubinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20243
4 20241
5 20242
6 20226
7 202136
8
Regressive Sin Taxes, with an Application to the Optimal Soda Tax*breakdown →
2019185
9
How are Preferences For Commitment Revealed
20194
10 201819
11
Heuristic Perceptions of the Income Tax: Evidence and Implications for Debiasing
20165
12
What Makes a Price Fair? An Experimental Analysis of Market Experience and Endogenous Fairness Views
20163
13 2015258
14 2014181
15 20132
16 20138
17
Externalities, Internalities, and the Targeting of Energy Policy
201210
18 20112
19
Externalizing the Internality
20115
20 200965

About Dmitry Taubinsky

Dmitry Taubinsky is a scholar working on General Decision Sciences, Safety Research, Economics and Econometrics, Gender Studies and Accounting, having authored 40 papers that have together received 1.3k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (14 papers), Experimental Behavioral Economics Studies (13 papers), Fiscal Policy and Economic Growth (9 papers), Gender, Labor, and Family Dynamics (8 papers), Taxation and Compliance Studies (8 papers), Economic and Environmental Valuation (7 papers), Financial Literacy, Pension, Retirement Analysis (7 papers) and Energy, Environment, and Transportation Policies (6 papers). The work is most often cited by research in General Decision Sciences (192 citations), Economics and Econometrics (776 citations), Renewable Energy, Sustainability and the Environment (344 citations), Safety Research (142 citations) and Accounting (176 citations). Dmitry Taubinsky has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Hunt Allcott, Benjamin Lockwood, Sendhil Mullainathan, Alex Rees-Jones, Christopher R. Knittel, Holger Herz, William Morrison, Jonathon P. Schuldt, Jonathan Zinman and David Laibson. Their work appears in journals such as American Economic Review, The Review of Economic Studies, Journal of the European Economic Association, Journal of Public Economics and The Quarterly Journal of 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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