Eunil Park

7.8k citations
211 papers · 5.7k indexed · h-index 43

Impact in

    • Technology Adoption and User Behaviour
  • Marketing top 0.5%
    • Consumer Retail Behavior Studies
    • Environmental Sustainability in Business
    • Consumer Behavior in Brand Consumption and Identification

Papers in

Eunil Park

197 papers receiving 5.4k citations

Peers

Eunil Park
Comparison fields: 5 of 154
  • Information Systems and Management 1.6k
  • Marketing 1.3k
  • Energy Engineering and Power Technology 283
  • Organizational Behavior and Human Resource Management 627
  • Human-Computer Interaction 263
Replace Ki Joon Kim with:
Ki Joon Kim South Korea
Kum Fai Yuen Singapore
Christof Weinhardt Germany
Mohammad Iranmanesh Malaysia
Martina Ziefle Germany
Hamed Taherdoost Malaysia
Yves Pigneur Switzerland
Xu Xin China
Alexander Osterwalder Switzerland
Francisco Muñoz‐Leiva Spain
Eunil Park relative to Ki Joon Kim South Korea Ki Joon Kim's profile →
Citations per field
00.5×3.3×
Ki Joon Kim · 1×
Citations per year

Countries citing papers authored by Eunil Park

Since Specialization
Citations

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

Fields of papers citing papers by Eunil Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Eunil Park, 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 Eunil Park Line = papers co-authored together Eunil Park links everyone, so they are left out of the graph.

All Works

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The more the better? Effects of ad exposure frequency on online consumers with varying product knowledge
20123

About Eunil Park

Eunil Park is a scholar working on Information Systems and Management, Energy Engineering and Power Technology, Marketing, Organizational Behavior and Human Resource Management and Human-Computer Interaction, having authored 211 papers that have together received 5.7k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (56 papers), Technology Adoption and User Behaviour (49 papers), Customer Service Quality and Loyalty (26 papers), Sentiment Analysis and Opinion Mining (14 papers), Consumer Retail Behavior Studies (14 papers), Impact of Technology on Adolescents (14 papers), Hybrid Renewable Energy Systems (12 papers) and Energy and Environment Impacts (10 papers). The work is most often cited by research in Information Systems and Management (1.6k citations), Marketing (1.3k citations), Energy Engineering and Power Technology (283 citations), Organizational Behavior and Human Resource Management (627 citations) and Human-Computer Interaction (263 citations). Eunil Park has collaborated with scholars based in South Korea, Spain and Hong Kong. Frequent co-authors include Ki Joon Kim, Sang Jib Kwon, Jay Y. Ohm, Ángel P. del Pobil, Jina Kim, Jinyoung Han, Hyun Joon Chang, Seoin Baek, Heetae Kim and S. Shyam Sundar. Their work appears in journals such as Telematics and Informatics, Journal of Retailing and Consumer Services, Sustainability, Journal Of Big Data and Behaviour and Information Technology.

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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