Ron Berman

University of Pennsylvania

H-index: 15

North America-United States

About Ron Berman

Ron Berman, With an exceptional h-index of 15 and a recent h-index of 14 (since 2020), a distinguished researcher at University of Pennsylvania, specializes in the field of Online Marketing, Social Media, Startups and Entrepreneurship, Marketing Analytics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Latent Stratification for Incrementality Experiments

Analyzing Healthcare Price Transparency: Will Patients Shop for Services More Effectively?

Naive Analytics: The Strategic Advantage of Algorithmic Heuristics

A Randomized Trial of Behavioral Nudges Delivered Through Text Messages to Increase Influenza Vaccination Among Patients With an Upcoming Primary Care Visit

Influence or Advertise: The Role of Social Learning in Influencer Marketing

A 680,000-person megastudy of nudges to encourage vaccination in pharmacies

The Value of Descriptive Analytics: Evidence from Online Retailers

Strategic Recommendation Algorithms: Overselling and Demarketing Information Designs

Ron Berman Information

University	University of Pennsylvania
Position	Assistant Professor of Marketing The Wharton School
Citations(all)	1803
Citations(since 2020)	1337
Cited By	756
hIndex(all)	15
hIndex(since 2020)	14
i10Index(all)	18
i10Index(since 2020)	16
Email	Access Email
University Profile Page	University of Pennsylvania
Google Scholar	View Google Scholar Profile

Ron Berman Skills & Research Interests

Online Marketing

Social Media

Startups and Entrepreneurship

Marketing Analytics

Top articles of Ron Berman

Title	Journal	Author(s)	Publication Date
Latent Stratification for Incrementality Experiments	Marketing Science	Ron Berman Elea McDonnell Feit	2024/1/5
Analyzing Healthcare Price Transparency: Will Patients Shop for Services More Effectively?	Available at SSRN 4620347	Hangcheng Zhao Ron Berman	2023/11/1
Naive Analytics: The Strategic Advantage of Algorithmic Heuristics	Available at SSRN 3718803	Ron Berman Yuval Heller	2023/9/12
A Randomized Trial of Behavioral Nudges Delivered Through Text Messages to Increase Influenza Vaccination Among Patients With an Upcoming Primary Care Visit	American Journal of Health Promotion	Mitesh S Patel Katherine L Milkman Linnea Gandhi Heather N Graci Dena Gromet ...	2023/3
Influence or Advertise: The Role of Social Learning in Influencer Marketing	Available at SSRN 4324888	Ron Berman Aniko Oery Xudong Zheng	2023
A 680,000-person megastudy of nudges to encourage vaccination in pharmacies	Proceedings of the National Academy of Sciences	Katherine L Milkman Linnea Gandhi Mitesh S Patel Heather N Graci Dena M Gromet ...	2022/2/8
The Value of Descriptive Analytics: Evidence from Online Retailers	Marketing Science	Ron Berman Ayelet Israeli	2022
Strategic Recommendation Algorithms: Overselling and Demarketing Information Designs	Available at SSRN 4301489	Ron Berman Hangcheng Zhao Yi Zhu	2022/9/10
A megastudy of text-based nudges encouraging patients to get vaccinated at an upcoming doctor’s appointment	Proceedings of the National Academy of Sciences	Katherine L Milkman Mitesh S Patel Linnea Gandhi Heather N Graci Dena M Gromet ...	2021/5/18
The Dark Side of Category Expansion: Will (and Which) Existing Ones' Pay the Price'?	Available at SSRN 3837014	Qi Yu Ron Berman Eric Bradlow	2021/4/30
False Discovery in A/B Testing	Management Science	Ron Berman Christophe Van den Bulte	2021
Marketing with Shallow and Prudent Influencers		Ron Berman Xudong Zheng	2020/9
Curation Algorithms and Filter Bubbles in Social Networks	Marketing Science	Ron Berman Zsolt Katona	2020