Tom Meyvis

2.4k citations
45 papers · 1.6k indexed · h-index 16

Impact in

    • Decision-Making and Behavioral Economics
  • Marketing top 1%
    • Consumer Behavior in Brand Consumption and Identification
    • Consumer Retail Behavior Studies
    • Consumer Market Behavior and Pricing

Papers in

Tom Meyvis

39 papers receiving 1.4k citations

Peers

Tom Meyvis
Comparison fields: 5 of 107
  • General Decision Sciences 159
  • Marketing 788
  • Applied Psychology 261
  • Social Psychology 364
  • Experimental and Cognitive Psychology 224
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Citations per year

Countries citing papers authored by Tom Meyvis

Since Specialization
Citations

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

Fields of papers citing papers by Tom Meyvis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Tom Meyvis, 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 Tom Meyvis Line = papers co-authored together Tom Meyvis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 202220
3 201713
4 201419
5 20131
6 20123
7 20110
8 20111
9
Being of Two Minds: Switching Mindsets Exhausts Self-Regulatory Resources
20107
10
You're Having Fun When Time Flies: The Hedonic Consequences of Subjective Time Progression
201011
11 20101
12
Affective Forecasting and Psychological Distance: the Surprising Impact of Distant Events
20091
13 2009138
14 20099
15
Learning from Mixed Feedback: Anticipation of the Future Reduces Appreciation of the Present
20060
16 200537
17
Learning From Mixed Feedback: the Biased Processing of Store Price Comparisons
20031
18 2002137
19 2001254
20 200117

About Tom Meyvis

Tom Meyvis is a scholar working on General Decision Sciences, Applied Psychology, Marketing, Tourism, Leisure and Hospitality Management and Literature and Literary Theory, having authored 45 papers that have together received 1.6k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (21 papers), Behavioral Health and Interventions (16 papers), Consumer Behavior in Brand Consumption and Identification (15 papers), Media Influence and Health (6 papers), Consumer Market Behavior and Pricing (6 papers), Digital Marketing and Social Media (4 papers), Neural and Behavioral Psychology Studies (4 papers) and Customer Service Quality and Loyalty (3 papers). The work is most often cited by research in General Decision Sciences (159 citations), Marketing (788 citations), Applied Psychology (261 citations), Social Psychology (364 citations) and Experimental and Cognitive Psychology (224 citations). Tom Meyvis has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Chris Janiszewski, Stijn M. J. van Osselaer, Stephanie Tully, Nicolas Davidenko, Daniel M. Oppenheimer, Hal E. Hershfield, Kathleen D. Vohs, Ryan Hamilton, Leif D. Nelson and Aaron M. Sackett. Their work appears in journals such as Journal of Consumer Research, Journal of Experimental Psychology General, Journal of Marketing Research, Organizational Behavior and Human Decision Processes and Perspectives on Psychological Science.

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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