Dan Svirsky

1.4k citations
6 papers · 800 · 1 hit paper · h-index 5

Impact in

Papers in

    • Names, Identity, and Discrimination Research 4
    • Privacy, Security, and Data Protection 1
    • Sharing Economy and Platforms 3
    • Consumer Market Behavior and Pricing 3

Dan Svirsky

6 papers receiving 755 citations

Dan Svirsky's Hit Papers

Racial Discrimination in the Sharing Economy: Evidence from a Field Experiment 2017 · 530 citations
5300+3+6Years since publication100200300400500

Peers

Dan Svirsky
Comparison fields: 5 of 79
  • Marketing 429
  • Automotive Engineering 173
  • Sociology and Political Science 478
  • Management Information Systems 56
  • Applied Psychology 23
Replace Sean McGinley with:
Sean McGinley United States
Jano Jiménez‐Barreto Spain
Nathan Line United States
Carmel Foley Australia
Amanda Belarmino United States
Ultan Sherman Ireland
Diego Bufquin United States
Cheri A. Young United States
Jeong‐Yeol Park United States
Mirella Yani‐de‐Soriano United Kingdom
Dan Svirsky relative to Sean McGinley United States Sean McGinley's profile →
Citations per field
00.5×10×13.4×
Sean McGinley · 1×
Citations per year

Countries citing papers authored by Dan Svirsky

Since Specialization
Citations

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

Fields of papers citing papers by Dan Svirsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Dan Svirsky, 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 Dan Svirsky Line = papers co-authored together Dan Svirsky links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Racial Discrimination in the Sharing Economy: Evidence from a Field Experiment
Hit paper breakdown →
2017530
2 2015164
3 201892
4 20206
5 20224
6
Why Do People Avoid Information About Privacy
20214

About Dan Svirsky

Dan Svirsky is a scholar working on Sociology and Political Science, Marketing, Public Health, Environmental and Occupational Health, Applied Psychology and Infectious Diseases, having authored 6 papers that have together received 800 indexed citations. Recurring topics across this work include Names, Identity, and Discrimination Research (4 papers), Sharing Economy and Platforms (3 papers), Consumer Market Behavior and Pricing (3 papers), Behavioral Health and Interventions (1 paper), Obesity, Physical Activity, Diet (1 paper), Privacy, Security, and Data Protection (1 paper) and Consumer Attitudes and Food Labeling (1 paper). The work is most often cited by research in Marketing (429 citations), Automotive Engineering (173 citations), Sociology and Political Science (478 citations), Management Information Systems (56 citations) and Applied Psychology (23 citations). Dan Svirsky has collaborated with scholars based in United States. Frequent co-authors include Michael Luca, Benjamin Edelman, Leslie K. John, Laura Y. Zatz, Grant E. Donnelly and Aaron Rieke. Their work appears in journals such as American Economic Journal Applied Economics, Psychological Science, eYLS (Yale Law School) and SSRN Electronic Journal.

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.

Explore authors with similar magnitude of impact