Consumer Information Search Revisited: Theory and Empirical Analysis
- Journal
- Journal of Consumer Research
In The Last Decade
doi.org/10.1086/209482 →Countries where authors are citing Consumer Information Search Revisited: Theory and Empirical Analysis
This map shows the geographic impact of Consumer Information Search Revisited: Theory and Empirical Analysis. 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 Consumer Information Search Revisited: Theory and Empirical Analysis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Consumer Information Search Revisited: Theory and Empirical Analysis more than expected).
Fields of papers citing Consumer Information Search Revisited: Theory and Empirical Analysis
This network shows the impact of Consumer Information Search Revisited: Theory and Empirical Analysis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Consumer Information Search Revisited: Theory and Empirical Analysis.
About Consumer Information Search Revisited: Theory and Empirical Analysis
This paper, published in 1997, received 597 indexed citations . Written by Sridhar Moorthy, Brian T. Ratchford and Debabrata Talukdar covering the research area of Marketing and Sociology and Political Science. It is primarily cited by scholars working on Marketing (427 citations), Sociology and Political Science (265 citations) and Organizational Behavior and Human Resource Management (117 citations). Published in Journal of Consumer 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.
This paper is also available at doi.org/10.1086/209482.