Angella J. Kim

About

Angella J. Kim is a scholar working on Marketing, Sociology and Political Science and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Angella J. Kim has authored 6 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Marketing, 3 papers in Sociology and Political Science and 2 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Angella J. Kim’s work include Digital Marketing and Social Media (3 papers), Consumer Behavior in Brand Consumption and Identification (3 papers) and Customer Service Quality and Loyalty (2 papers). Angella J. Kim is often cited by papers focused on Digital Marketing and Social Media (3 papers), Consumer Behavior in Brand Consumption and Identification (3 papers) and Customer Service Quality and Loyalty (2 papers). Angella J. Kim collaborates with scholars based in United States and South Korea. Angella J. Kim's co-authors include Eunju Ko, Kim K. P. Johnson, Heidi Wagner, Eundeok Kim, Li-Li Chen and Juanjuan Wu and has published in prestigious journals such as Journal of Business Research, Computers in Human Behavior and Journal of Construction Engineering and Management.

In The Last Decade

Co-authorship network of co-authors of Angella J. Kim i

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Fields of papers citing papers by Angella J. Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Angella J. Kim

Since Specialization

Citations

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

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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