David M. Sanbonmatsu

84 papers receiving 5.4k citations

David M. Sanbonmatsu's Hit Papers

On the automatic activation of attitudes. 1986 · 1.4k citations
1.4k0+13+26Years since publication50010001.5k

Peers

David M. Sanbonmatsu
Comparison fields: 5 of 137
  • General Decision Sciences 696
  • Applied Psychology 1.2k
  • Marketing 967
  • Social Psychology 2.0k
  • Cognitive Neuroscience 1.5k
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Countries citing papers authored by David M. Sanbonmatsu

Since Specialization
Citations

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

Fields of papers citing papers by David M. Sanbonmatsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Sanbonmatsu. 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 David M. Sanbonmatsu. The network helps show where David M. Sanbonmatsu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1
On the automatic activation of attitudes.
Hit paper breakdown →
19861532
2
On the automatic activation of attitudes.
Hit paper breakdown →
19861405
3 2013312
4 1988233
5 1990208
6 1990175
7 2004150
8 1998126
9 2003116
10 199292
11 201888
12 199778
13 199768
14 199761
15 199160
16 198759
17 200353
18 199351
19 199149
20 199146

About David M. Sanbonmatsu

David M. Sanbonmatsu is a scholar working on Sociology and Political Science, Social Psychology, General Decision Sciences, Applied Psychology and Marketing, having authored 89 papers that have together received 5.8k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (28 papers), Social and Intergroup Psychology (28 papers), Behavioral Health and Interventions (23 papers), Cultural Differences and Values (20 papers), Consumer Behavior in Brand Consumption and Identification (13 papers), Psychology of Moral and Emotional Judgment (10 papers), Human-Automation Interaction and Safety (6 papers) and Optimism, Hope, and Well-being (6 papers). The work is most often cited by research in General Decision Sciences (696 citations), Applied Psychology (1.2k citations), Marketing (967 citations), Social Psychology (2.0k citations) and Cognitive Neuroscience (1.5k citations). David M. Sanbonmatsu has collaborated with scholars based in United States, Russia and Norway. Frequent co-authors include Frank R. Kardes, Russell H. Fázio, Martha C. Powell, Bryan Gibson, Steven S. Posavac, David L. Strayer, Jason M. Watson, Nathan Medeiros-Ward, James Felton and David C. Houghton. Their work appears in journals such as Journal of Personality and Social Psychology, Personality and Social Psychology Bulletin, Journal of Consumer Psychology, Social Cognition and Journal of Experimental Social Psychology.

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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