Jorge Fresneda Fernandez

About Jorge Fresneda Fernandez

Jorge Fresneda Fernandez, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at New Jersey Institute of Technology, specializes in the field of Marketing Analytics, Digital Marketing.

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

Neuromarketing Techniques to Enhance Consumer Preference Prediction

Antecedents and consequences of the key opinion leader status: an econometric and machine learning approach

How inaccessible retail websites affect blind and low vision consumers: their perceptions and responses

MRKT 378-001: Marketing Analytics

MRKT 360-001: Digital Marketing

M1M2: deep-learning-based real-time emotion recognition from neural activity

Key opinion leader and business growth: Econometrics and machine learning approaches

Accuracy Improvement of Vehicle Recognition by Using Smart Device Sensors

Jorge Fresneda Fernandez Information

University

Position

Assistant Professor of Marketing

Citations(all)

238

Citations(since 2020)

220

Cited By

69

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

6

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Jorge Fresneda Fernandez Skills & Research Interests

Marketing Analytics

Digital Marketing

Top articles of Jorge Fresneda Fernandez

Neuromarketing Techniques to Enhance Consumer Preference Prediction

2024/1/3

Antecedents and consequences of the key opinion leader status: an econometric and machine learning approach

Electronic Commerce Research

2023/9

How inaccessible retail websites affect blind and low vision consumers: their perceptions and responses

Journal of Service Theory and Practice

2023/2/28

MRKT 378-001: Marketing Analytics

2023

MRKT 360-001: Digital Marketing

2023

M1M2: deep-learning-based real-time emotion recognition from neural activity

Sensors

2022/11/3

Key opinion leader and business growth: Econometrics and machine learning approaches

2022/6/8

Accuracy Improvement of Vehicle Recognition by Using Smart Device Sensors

Sensors

2022/6

Market segmentation in the emoji era

Communications of the ACM

2022/3

Structural Topic Modeling Segmentation: A Method Combining Latent Content and Customer Context

Journal of Marketing Management

2021

What retailers need to understand about website inaccessibility and disabled consumers: Challenges and opportunities

The Journal of Consumer Affairs

2020/3/10

Gazing at the stars is not enough, look at the specific word entropy, too!

Information & Management

2020/10/11

See List of Professors in Jorge Fresneda Fernandez University(New Jersey Institute of Technology)

Co-Authors

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