Tami Kim

561 citations
28 papers · 362 · h-index 10

Impact in

Papers in

Tami Kim

25 papers receiving 338 citations

Peers

Tami Kim
Comparison fields: 5 of 95
  • Marketing 111
  • General Decision Sciences 16
  • Information Systems and Management 58
  • Applied Psychology 40
  • Sociology and Political Science 172
Replace Aulona Ulqinaku with:
Aulona Ulqinaku United Kingdom
Sören Köcher Germany
Jonathan Hasford United States
Karen H. Smith United States
Kwanho Suk South Korea
Daniel R. Toy United States
Pragya Mathur United States
Moty Amar Israel
Marie-Laure Gavard-Perret France
Aimee Riedel Australia
Tami Kim relative to Aulona Ulqinaku United Kingdom Aulona Ulqinaku's profile →
Citations per field
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Aulona Ulqinaku · 1×
Citations per year

Countries citing papers authored by Tami Kim

Since Specialization
Citations

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

Fields of papers citing papers by Tami Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018153
2 201430
3 201426
4 201521
5 202118
6 201914
7 202212
8 202112
9 202010
10 20239
11 20188
12 20197
13 20215
14 20245
15
Ads That Don't Overstep: How to Make Sure You Don't Take Personalization Too Far
20185
16 20245
17 20184
18 20214
19 20193
20 20213

About Tami Kim

Tami Kim is a scholar working on Sociology and Political Science, Marketing, Social Psychology, Accounting and Gender Studies, having authored 28 papers that have together received 362 indexed citations. Recurring topics across this work include Consumer Behavior in Brand Consumption and Identification (6 papers), Social and Intergroup Psychology (5 papers), Decision-Making and Behavioral Economics (3 papers), Customer Service Quality and Loyalty (3 papers), Evolutionary Psychology and Human Behavior (3 papers), Cultural Differences and Values (3 papers), Gender Diversity and Inequality (3 papers) and Experimental Behavioral Economics Studies (2 papers). The work is most often cited by research in Marketing (111 citations), General Decision Sciences (16 citations), Information Systems and Management (58 citations), Applied Psychology (40 citations) and Sociology and Political Science (172 citations). Tami Kim has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Leslie K. John, Kate Barasz, Michael I. Norton, Francesca Gino, Chia‐Jung Tsay, Ryan W. Buell, Ting Zhang, Alison Wood Brooks, Ting Zhang and Scott C. Kachlany. Their work appears in journals such as Journal of Consumer Research, Journal of the Association for Consumer Research, Psychological Science, Management Science and The Ocular Surface.

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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