Bahri Baran KOÇAK

Bahri Baran KOÇAK

Dicle Üniversitesi

H-index: 4

Asia-Turkey

About Bahri Baran KOÇAK

Bahri Baran KOÇAK, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Dicle Üniversitesi,

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

MECAZİ DİL UNSURLARININ TÜKETİCİ KATILIMI ÜZERİNDEKİ ETKİSİ: TÜRK HAVAYOLU INSTAGRAM SAYFALARI ÖRNEĞİ

Deep Learning Models for Airport Demand Forecasting With Google Trends: A Case Study of Madrid International Airports

Deep Learning Techniques for Short-Term Air Passenger Demand Forecasting with Destination Insight: A Case Study in The New Zealand Air Market

Comparison of Artificial Intelligence Techniques for The UK Air Passenger Short-Term Demand Forecasting: A Destination Insight Study

Improving Consumer Engagement with Airline Brands: A Case of SKYTRAX 100’s YouTube Pages

More than a thousand words!: Emoji engagement on Turkish airline Instagram pages

Fly" With us"! Impact of Consumer-Brand Relationship on Consumer Engagement: An Empirical Investigation on Turkish Airline Instagram Pages

Exploring and identification of passengers’ web search goals using “ticket” related queries in the airline market: a google trends study

Bahri Baran KOÇAK Information

University

Position

___

Citations(all)

43

Citations(since 2020)

40

Cited By

10

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

0

i10Index(since 2020)

0

Email

University Profile Page

Dicle Üniversitesi

Google Scholar

View Google Scholar Profile

Top articles of Bahri Baran KOÇAK

Title

Journal

Author(s)

Publication Date

MECAZİ DİL UNSURLARININ TÜKETİCİ KATILIMI ÜZERİNDEKİ ETKİSİ: TÜRK HAVAYOLU INSTAGRAM SAYFALARI ÖRNEĞİ

Pazarlama ve Pazarlama Araştırmaları Dergisi

Cem Burak KOÇAK

Özlem ATALIK

Bahri Baran KOÇAK

2024/1/1

Deep Learning Models for Airport Demand Forecasting With Google Trends: A Case Study of Madrid International Airports

International Journal of Cyber Behavior, Psychology and Learning (IJCBPL)

Bahri Baran Koçak

2023/1/1

Deep Learning Techniques for Short-Term Air Passenger Demand Forecasting with Destination Insight: A Case Study in The New Zealand Air Market

International Research in Social, Human and Administrative Sciences XII

Bahri Baran Koçak

2023/4/12

Comparison of Artificial Intelligence Techniques for The UK Air Passenger Short-Term Demand Forecasting: A Destination Insight Study

Theoretical and Applied Climatology

Hatice Citakoglu

2017/10

Improving Consumer Engagement with Airline Brands: A Case of SKYTRAX 100’s YouTube Pages

Journal of Internet Applications and Management

Bahri Baran KOÇAK

2022/6/6

More than a thousand words!: Emoji engagement on Turkish airline Instagram pages

Bahri Baran Koçak

2022

Fly" With us"! Impact of Consumer-Brand Relationship on Consumer Engagement: An Empirical Investigation on Turkish Airline Instagram Pages

Tüketici ve Tüketim Araştırmaları Dergisi= Journal of Consumer and Consumption Research

Bahri Baran Koçak

2021

Exploring and identification of passengers’ web search goals using “ticket” related queries in the airline market: a google trends study

Pazarlama ve Pazarlama Araştırmaları Dergisi

Bahri Baran Koçak

2020

See List of Professors in Bahri Baran KOÇAK University(Dicle Üniversitesi)