Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Developing Buyer-Seller Relationships
19875.8k citationsF. Robert Dwyer, Paul H. Schurr et al.Journal of Marketingprofile →
Developing Buyer-Seller Relationships
19872.7k citationsF. Robert Dwyer, Paul H. Schurr et al.Journal of Marketingprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Sejo Oh'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 Sejo Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sejo Oh more than expected).
This network shows the impact of papers produced by Sejo Oh. 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 Sejo Oh. The network helps show where Sejo Oh may publish in the future.
Co-authorship network of co-authors of Sejo Oh
This figure shows the co-authorship network connecting the top 25 collaborators of Sejo Oh.
A scholar is included among the top collaborators of Sejo Oh based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Sejo Oh. Sejo Oh is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Oh, Sejo, et al.. (2011). The Influence of Conflict, Unfairness, and Goal Incongruity on Dissolution Intention and the Moderating Effect of Trust in Buyer-Seller Relationship. korean management review. 40(5). 1291–1318.1 indexed citations
7.
Oh, Sejo, et al.. (2010). The effect of influence strategies on marketing channel opportunism: The moderating effect of trust. Korean Journal of Marketing. 25(2). 41–63.1 indexed citations
8.
Oh, Sejo, et al.. (2009). Influence Strategies, Relationship Satisfaction, and Dependence Structure. korean management review. 38(1). 51–73.2 indexed citations
9.
Oh, Sejo, et al.. (2009). The Mediating Role of Dependence and Conflict in the Relationship of Relationship Termination Cost, Alternative Attractiveness, Goal Incongruity, Unfairness, and Dissolution Intention. Korean Journal of Marketing. 24(1). 181–202.2 indexed citations
Oh, Sejo, et al.. (2006). The Effects of Output Sector Munificence and Dynamism on Distribution Channel Performances: Moderating Effects of Integration. 11(1). 1–20.
13.
Oh, Sejo, et al.. (2004). Alleviating and Promoting Factors on Dissolution Intention in Low Commitment Buyer-Seller Relationships. 9(3). 21–47.6 indexed citations
14.
Oh, Sejo, et al.. (2003). Building-up Strategies for Competitiveness of Specialty Stores Distribution Channels in the Cosmetisc Industry. 7(1). 27–46.1 indexed citations
15.
Oh, Sejo, et al.. (2003). The Effects of Bureaucracy and Control Mechanisms Based on the Length of Relationship on Commitment and Relational Satisfaction of Franchisee. 8(1). 47–67.1 indexed citations
16.
Oh, Sejo, F. Robert Dwyer, Sung‐il Kim, & Jin Yong Park. (1997). INTERFIRM RELATIONSHIPS IN KOREAN ELECTRIC/ELECTRONIC PARTS INDUSTRY. 2(2). 135–151.
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.