Jun B. Kim

886 citations
10 papers · 496 · h-index 6

Impact in

  • Marketing top 2%
    • Consumer Market Behavior and Pricing
    • Consumer Retail Behavior Studies
    • Consumer Behavior in Brand Consumption and Identification
    • Innovation Diffusion and Forecasting
    • Auction Theory and Applications

Papers in

    • Consumer Market Behavior and Pricing 8
    • Consumer Behavior in Brand Consumption and Identification 2
    • Economic and Environmental Valuation 3

Jun B. Kim

8 papers receiving 474 citations

Peers

Jun B. Kim
Comparison fields: 5 of 54
  • Marketing 383
  • Management Science and Operations Research 107
  • Strategy and Management 129
  • Information Systems and Management 58
  • Tourism, Leisure and Hospitality Management 11
Replace Christian Schlereth with:
Christian Schlereth Germany
Sudhir Voleti India
Robert P. Rooderkerk Netherlands
Upender Subramanian United States
Jon A. Higbie United States
Mohammad Saifur Rahman United States
Gila E. Fruchter Israel
Shivendu Shivendu United States
David Dann Germany
Jun B. Kim relative to Christian Schlereth Germany Christian Schlereth's profile →
Citations per field
00.5×2×2.6×
Christian Schlereth · 1×
Citations per year

Countries citing papers authored by Jun B. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jun B. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun B. Kim. 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 Jun B. Kim. The network helps show where Jun B. Kim may publish in the future.

Co-authors

The 7 scholars most cited alongside Jun B. Kim, 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 Jun B. Kim Line = papers co-authored together Jun B. Kim links everyone, so they are left out of the graph.

All Works

About Jun B. Kim

Jun B. Kim is a scholar working on Marketing, Economics and Econometrics, Management Science and Operations Research, Strategy and Management and Tourism, Leisure and Hospitality Management, having authored 10 papers that have together received 496 indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (8 papers), Economic and Environmental Valuation (3 papers), Consumer Behavior in Brand Consumption and Identification (2 papers), Digital Marketing and Social Media (2 papers), Digital Platforms and Economics (2 papers), Innovation Diffusion and Forecasting (2 papers), Quality Function Deployment in Product Design (1 paper) and Media Influence and Politics (1 paper). The work is most often cited by research in Marketing (383 citations), Management Science and Operations Research (107 citations), Strategy and Management (129 citations), Information Systems and Management (58 citations) and Tourism, Leisure and Hospitality Management (11 citations). Jun B. Kim has collaborated with scholars based in Netherlands, United States and Hong Kong. Frequent co-authors include Bart J. Bronnenberg, Paulo Albuquerque, Carl F. Mela, Koert van Ittersum, Chris Forman, David Robert Wallace and Zhao Ying. Their work appears in journals such as Marketing Science, Management Science, Journal of Advertising, Journal of Marketing and Journal of Marketing Research.

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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