Jennifer Gregan‐Paxton

15 papers and 581 indexed citations i.

About

Jennifer Gregan‐Paxton is a scholar working on Artificial Intelligence, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Jennifer Gregan‐Paxton has authored 15 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Social Psychology and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Jennifer Gregan‐Paxton’s work include Advanced Text Analysis Techniques (6 papers), Cultural Differences and Values (3 papers) and Consumer Behavior in Brand Consumption and Identification (2 papers). Jennifer Gregan‐Paxton is often cited by papers focused on Advanced Text Analysis Techniques (6 papers), Cultural Differences and Values (3 papers) and Consumer Behavior in Brand Consumption and Identification (2 papers). Jennifer Gregan‐Paxton collaborates with scholars based in United States, Canada and Australia. Jennifer Gregan‐Paxton's co-authors include Deborah Roedder John, Page Moreau, Steve Hoeffler, Min Zhao, Jonathan D. Hibbard, Frédéric F. Brunel, Pablo Azar, Jane Côté, Stewart Shapiro and Mark T. Spence and has published in prestigious journals such as Journal of Consumer Research, Journal of Consumer Psychology and Psychology and Marketing.

In The Last Decade

Co-authorship network of co-authors of Jennifer Gregan‐Paxton i

Fields of papers citing papers by Jennifer Gregan‐Paxton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer Gregan‐Paxton. 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 Jennifer Gregan‐Paxton. The network helps show where Jennifer Gregan‐Paxton may publish in the future.

Countries citing papers authored by Jennifer Gregan‐Paxton

Since Specialization
Citations

This map shows the geographic impact of Jennifer Gregan‐Paxton'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 Jennifer Gregan‐Paxton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Gregan‐Paxton 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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