Minjae Song

656 citations
22 papers · 425 indexed · h-index 10

Minjae Song

21 papers receiving 397 citations

Peers

Minjae Song
Comparison fields: 5 of 63
  • Marketing 218
  • Strategy and Management 191
  • Economics and Econometrics 139
  • Media Technology 42
  • Management Science and Operations Research 44
Replace Przemysław Jeziorski with:
Przemysław Jeziorski United States
Wilfried Sand‐Zantman France
Klaus Sailer Germany
Imke Reimers United States
Nathalie Sonnac France
José C. Pernías Spain
Ted Lindblom Sweden
Khwaja Naveed China
Claudio Lamprecht Switzerland
Minjae Song relative to Przemysław Jeziorski United States Przemysław Jeziorski's profile →
Citations per field
00.5×1.5×1.9×
Przemysław Jeziorski · 1×
Citations per year

Countries citing papers authored by Minjae Song

Since Specialization
Citations

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

Fields of papers citing papers by Minjae Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 15 scholars most cited alongside Minjae Song, 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 Minjae Song Line = papers co-authored together Minjae Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202110
2 201714
3 201744
4 201615
5 20159
6 201478
7 201466
8
Incorporating State Dependence in Aggregate Brand-level Demand Models
20126
9 201124
10 20119
11 20102
12 20108
13 20098
14 200872
15 20081
16 20083
17
Measuring Consumer Welfare in the CPU Market: An Application of the Pure Characteristics Demand Model
20074
18 200737
19
Cooperative R&D between Heterogeneous Firms
20060
20
Preference for Cultural Goods: The Case of Korea Film Market ∗
20061

About Minjae Song

Minjae Song is a scholar working on Marketing, Strategy and Management and Economics and Econometrics, having authored 22 papers that have together received 425 indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (17 papers), Digital Platforms and Economics (13 papers), Merger and Competition Analysis (10 papers), Innovation Diffusion and Forecasting (4 papers), Economics of Agriculture and Food Markets (3 papers), Media Influence and Politics (2 papers), Digital Marketing and Social Media (2 papers) and Art History and Market Analysis (2 papers). The work is most often cited by research in Marketing (218 citations), Strategy and Management (191 citations) and Economics and Econometrics (139 citations). Minjae Song has collaborated with scholars based in United States, South Korea and Denmark. Frequent co-authors include Ulrich Kaiser, Young Ho Kim, D. O’Brien, Keith Waehrer, Upender Subramanian, Liye Ma, S. Sriram, Puneet Manchanda, Junhong Chu and Scott K. Shriver. Their work appears in journals such as The RAND Journal of Economics, International Economic Review, Journal of Interactive Marketing, International Journal of Industrial Organization and Journal of Ginseng 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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2026