Minjung Park

177 total papers · 1.8k total citations
99 papers, 1.2k citations indexed

About

Minjung Park is a scholar working on Marketing, Organizational Behavior and Human Resource Management and Sociology and Political Science. According to data from OpenAlex, Minjung Park has authored 99 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Marketing, 19 papers in Organizational Behavior and Human Resource Management and 16 papers in Sociology and Political Science. Recurrent topics in Minjung Park's work include Consumer Perception and Purchasing Behavior (25 papers), Customer Service Quality and Loyalty (19 papers) and Consumer Retail Behavior Studies (19 papers). Minjung Park is often cited by papers focused on Consumer Perception and Purchasing Behavior (25 papers), Customer Service Quality and Loyalty (19 papers) and Consumer Retail Behavior Studies (19 papers). Minjung Park collaborates with scholars based in South Korea, United States and Japan. Minjung Park's co-authors include Jungmin Yoo, Sharron J. Lennon, Hyunjoo Im, Minjeong Kim, Hyeyoung Kim, Jung-Hwan Kim, Kyung Eun Yun, Go Eun Lee, Hye Soon Park and Hong‐Jun Cho and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Business Research and Nanoscale.

In The Last Decade

Minjung Park

70 papers receiving 1.1k citations

Hit Papers

Effects of perceived inte... 2019 2026 2021 2023 2019 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Minjung Park 634 431 218 163 137 99 1.2k
Gavin Northey 648 1.0× 540 1.3× 193 0.9× 130 0.8× 70 0.5× 46 1.4k
Frederico Branco 342 0.5× 487 1.1× 303 1.4× 79 0.5× 113 0.8× 68 1.3k
Ezlika M. Ghazali 764 1.2× 671 1.6× 373 1.7× 231 1.4× 76 0.6× 53 1.5k
Valdimar Sigurðsson 887 1.4× 600 1.4× 257 1.2× 200 1.2× 74 0.5× 73 1.5k
Xuebing Dong 523 0.8× 508 1.2× 283 1.3× 108 0.7× 91 0.7× 40 1.0k
Teck Ming Tan 586 0.9× 555 1.3× 234 1.1× 204 1.3× 101 0.7× 34 1.2k
Maria Sääksjärvi 498 0.8× 327 0.8× 137 0.6× 231 1.4× 49 0.4× 42 1.0k
Hendrik Slabbinck 545 0.9× 238 0.6× 90 0.4× 144 0.9× 37 0.3× 65 1.4k
Wasim Ahmad 848 1.3× 764 1.8× 342 1.6× 247 1.5× 110 0.8× 42 1.5k
Kim Willems 802 1.3× 452 1.0× 237 1.1× 260 1.6× 394 2.9× 55 1.5k

Countries citing papers authored by Minjung Park

Since Specialization
Citations

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

Fields of papers citing papers by Minjung Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minjung Park

This figure shows the co-authorship network connecting the top 25 collaborators of Minjung Park. A scholar is included among the top collaborators of Minjung Park 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 Minjung Park. Minjung Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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