ProfessorsProfessors of Universidad Torcuato di TellaGustavo Vulcano

Gustavo Vulcano

Universidad Torcuato di Tella

H-index: 22

Latin America-Argentina

About Gustavo Vulcano

Gustavo Vulcano, With an exceptional h-index of 22 and a recent h-index of 20 (since 2020), a distinguished researcher at Universidad Torcuato di Tella, specializes in the field of Operations Management.

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

The Value of Observing the Buyers’ Arrival Time in Dynamic Pricing

A comparative empirical study of discrete choice models in retail operations

Personalized retail promotions through a directed acyclic graph–based representation of customer preferences

Demand estimation under the multinomial logit model from sales transaction data

Personalized retail promotions through a dag-based representation of customer preferences

Gustavo Vulcano Information

University	Universidad Torcuato di Tella
Position	___
Citations(all)	3157
Citations(since 2020)	1409
Cited By	2428
hIndex(all)	22
hIndex(since 2020)	20
i10Index(all)	27
i10Index(since 2020)	23
Email	Access Email
University Profile Page	Universidad Torcuato di Tella
Google Scholar	View Google Scholar Profile

Gustavo Vulcano Skills & Research Interests

Operations Management

Top articles of Gustavo Vulcano

Title	Journal	Author(s)	Publication Date
The Value of Observing the Buyers’ Arrival Time in Dynamic Pricing	Management Science	José Correa Dana Pizarro Gustavo J Vulcano	2023/6/1
A comparative empirical study of discrete choice models in retail operations	Management Science	Gerardo Berbeglia Agustín Garassino Gustavo Vulcano	2022/6
Personalized retail promotions through a directed acyclic graph–based representation of customer preferences	Operations Research	Srikanth Jagabathula Dmitry Mitrofanov Gustavo Vulcano	2022/3
Demand estimation under the multinomial logit model from sales transaction data	Manufacturing & Service Operations Management	Tarek Abdallah Gustavo Vulcano	2021/9
Personalized retail promotions through a dag-based representation of customer preferences	Available at SSRN 3258700	Srikanth Jagabathula Dmitry Mitrofanov Gustavo Vulcano	2020/9/15