Journal of Macromarketing

1.1k papers and 25.8k indexed citations i.

About

The 1.1k papers published in Journal of Macromarketing in the last decades have received a total of 25.8k indexed citations. Papers published in Journal of Macromarketing usually cover Marketing (491 papers), Sociology and Political Science (262 papers) and Organizational Behavior and Human Resource Management (188 papers) specifically the topics of Consumer Behavior in Brand Consumption and Identification (271 papers), Service and Product Innovation (119 papers) and Innovation and Socioeconomic Development (114 papers). The most active scholars publishing in Journal of Macromarketing are Shelby D. Hunt, Scott J. Vitell, Roger Layton, Morris B. Holbrook, Gene R. Laczniak, Mark Peterson, William E. Kilbourne, John H. Antil, M. Joseph Sirgy and Andrea Prothero.

In The Last Decade

Fields of papers published in Journal of Macromarketing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Macromarketing. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Journal of Macromarketing.

Countries where authors publish in Journal of Macromarketing

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Macromarketing. 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 papers published in Journal of Macromarketing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of Macromarketing 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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