Michael Luca

9.8k citations
42 papers · 3.9k · 3 hit papers · h-index 24

Impact in

Papers in

Michael Luca

40 papers receiving 3.7k citations

Michael Luca's Hit Papers

The impact of COVID-19 on small business outcomes and expectations 2020 · 1.1k citations
1.1k0+3+7Years since publication2505007501k

Peers

Michael Luca
Comparison fields: 5 of 128
  • Marketing 563
  • Economics and Econometrics 703
  • General Decision Sciences 74
  • Strategy and Management 400
  • Sociology and Political Science 1.1k
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Citations per field
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Citations per year

Countries citing papers authored by Michael Luca

Since Specialization
Citations

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

Fields of papers citing papers by Michael Luca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Luca, 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 Michael Luca Line = papers co-authored together Michael Luca 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
The impact of COVID-19 on small business outcomes and expectations
Hit paper breakdown →
20201051
2
Fake It Till You Make It: Reputation, Competition, and Yelp Review Fraud
Hit paper breakdown →
2016811
3
Racial Discrimination in the Sharing Economy: Evidence from a Field Experiment
Hit paper breakdown →
2015639
4 2016173
5 2016113
6 201397
7 201582
8 201768
9 201866
10 201962
11 201761
12 201656
13 201752
14 201948
15 202144
16 201341
17 201640
18 201439
19 202338
20 201534

About Michael Luca

Michael Luca is a scholar working on Sociology and Political Science, General Decision Sciences, Safety Research, Strategy and Management and Marketing, having authored 42 papers that have together received 3.9k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (7 papers), Consumer Market Behavior and Pricing (5 papers), Digital Platforms and Economics (5 papers), Decision-Making and Behavioral Economics (4 papers), Names, Identity, and Discrimination Research (4 papers), Ethics and Social Impacts of AI (3 papers), Experimental Behavioral Economics Studies (3 papers) and Gun Ownership and Violence Research (3 papers). The work is most often cited by research in Marketing (563 citations), Economics and Econometrics (703 citations), General Decision Sciences (74 citations), Strategy and Management (400 citations) and Sociology and Political Science (1.1k citations). Michael Luca has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Georgios Zervas, Edward L. Glaeser, Dan Svirsky, Benjamin G. Edelman, Christopher Stanton, Zoë Cullen, Alexander Wickman Bartik, Marianne Bertrand, Jonathan Smith and Scott Duke Kominers. Their work appears in journals such as Management Science, American Economic Review, Proceedings of the National Academy of Sciences, Marketing Science and Harvard business review.

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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