D. Varan

1.6k citations
62 papers · 1.1k · h-index 19

Impact in

  • Marketing top 1%
    • Consumer Behavior in Brand Consumption and Identification
    • Consumer Retail Behavior Studies
    • Consumer Market Behavior and Pricing
    • Technology Adoption and User Behaviour

Papers in

D. Varan

57 papers receiving 975 citations

Peers

D. Varan
Comparison fields: 5 of 78
  • Marketing 534
  • Information Systems and Management 283
  • Sociology and Political Science 656
  • Literature and Literary Theory 157
  • Applied Psychology 61
Replace Chan Yun Yoo with:
Chan Yun Yoo United States
Ashesh Mukherjee Canada
Loes Janssen Netherlands
Yih Hwai Lee Singapore
Rashmi Adaval Hong Kong
DeAnna S. Kempf United States
Luca Cian United States
P.E. Ketelaar Netherlands
Grant Packard United States
William J. Havlena United States
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Citations per field
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Citations per year

Countries citing papers authored by D. Varan

Since Specialization
Citations

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

Fields of papers citing papers by D. Varan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside D. Varan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. Varan Line = papers co-authored together D. Varan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011326
2 201561
3 201050
4 201047
5 201444
6 201435
7 201931
8 201630
9 200927
10 200926
11 201624
12 201224
13 201321
14 201920
15 200619
16 201119
17 201118
18 202218
19 201518
20 199818

About D. Varan

D. Varan is a scholar working on Sociology and Political Science, Marketing, Literature and Literary Theory, Information Systems and Management and Experimental and Cognitive Psychology, having authored 62 papers that have together received 1.1k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (37 papers), Consumer Behavior in Brand Consumption and Identification (35 papers), Media Influence and Health (16 papers), Technology Adoption and User Behaviour (10 papers), Behavioral Health and Interventions (3 papers), Media, Gender, and Advertising (3 papers), Evolutionary Psychology and Human Behavior (3 papers) and Impact of Technology on Adolescents (3 papers). The work is most often cited by research in Marketing (534 citations), Information Systems and Management (283 citations), Sociology and Political Science (656 citations), Literature and Literary Theory (157 citations) and Applied Psychology (61 citations). D. Varan has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Steven Bellman, Jennifer A. Robinson, Shiree Treleaven-Hassard, Robert F. Potter, Rachel Kennedy, Magda Nenycz‐Thiel, Patrick Barwise, René Weber, Annie Lang and Anna Kemp. Their work appears in journals such as Journal of Advertising Research, Journal of Marketing Communications, Journal of Advertising, European Journal of Marketing and Journal of Business 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.

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