Jason Pallant

1.8k citations
26 papers · 1.1k indexed · 1 hit paper · h-index 13
Topics
Digital Marketing and Social Media (7 papers)Consumer Retail Behavior Studies (7 papers)Consumer Behavior in Brand Consumption and Identification (5 papers)

In The Last Decade

Jason Pallant

23 papers receiving 1.0k citations

Hit Papers

Generative AI and the future of education: Ragnarök or re...20232026202420252023100200300400500

Peers

Jason Pallant
Comparison fields: 5 of 88
  • Artificial Intelligence 309
  • Marketing 300
  • Sociology and Political Science 282
  • Health Informatics 217
  • Information Systems and Management 171
Replace Hyeon Jo with:
Hyeon Jo South Korea
Jessica L. Pallant Australia
Mari‐Klara Stein Denmark
Chong Guan Singapore
Martin Adam Germany
Paweł Korzyński Poland
Andreas Janson Germany
Ella Glikson Israel
Noor Al-Qaysi Malaysia
Chiara Longoni United States
Jason Pallant relative to Hyeon Jo South Korea Hyeon Jo's profile →
Citations per field
00.5×10×15.5×
Hyeon Jo · 1×
Citations per year

Countries citing papers authored by Jason Pallant

Since Specialization
Citations

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

Fields of papers citing papers by Jason Pallant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Pallant

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 0
4 14
5 6
6
Generative AI and the future of education: Ragnarök or reformation? A paradoxical perspective from management educatorsbreakdown →
552
7 19
8 1
9 10
10 28
11 40
12 17
13 33
14 1
15 65
16 78
17 3
18 12
19 18
20 81

About Jason Pallant

Jason Pallant is a scholar working on Marketing, General Decision Sciences and Information Systems and Management, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (7 papers), Consumer Retail Behavior Studies (7 papers) and Consumer Behavior in Brand Consumption and Identification (5 papers). The work is most often cited by research in Health Informatics (217 citations), Marketing (300 citations) and Computer Science Applications (156 citations). Jason Pallant has collaborated with scholars based in Australia, United States and Switzerland. Frequent co-authors include Jessica L. Pallant, Weng Marc Lim, Asanka Gunasekara, Ekaterina Pechenkina, Sean Sands, Carla Ferraro, Lester W. Johnson, Torgeir Aleti, Colin Campbell and Annamaria Tuan. Their work appears in journals such as European Journal of Marketing, Journal of Retailing and Consumer Services and Business Horizons.

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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