Serena Chen

28 papers receiving 2.2k citations

Serena Chen's Hit Papers

The heuristic-systematic model in its broader context. 1999 · 709 citations
7090+9+18Years since publication200400600

Peers

Serena Chen
Comparison fields: 5 of 132
  • General Decision Sciences 128
  • Applied Psychology 285
  • Social Psychology 649
  • Communication 214
  • Sociology and Political Science 1.2k
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Serena Chen relative to George Levinger United States George Levinger's profile →
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Countries citing papers authored by Serena Chen

Since Specialization
Citations

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

Fields of papers citing papers by Serena Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The heuristic-systematic model in its broader context.
Hit paper breakdown →
1999709
2 1996260
3
Beyond accuracy: Defense and impression motives in heuristic and systematic information processing.
1996248
4 1999241
5 2005180
6 1995132
7 2006109
8 1995104
9 199995
10 200771
11 199752
12 200250
13 200144
14 200543
15 200826
16 199926
17 199617
18 201112
19 199210
20 20226

About Serena Chen

Serena Chen is a scholar working on Sociology and Political Science, Pediatrics, Perinatology and Child Health, Social Psychology, Cognitive Neuroscience and Information Systems, having authored 30 papers that have together received 2.5k indexed citations. Recurring topics across this work include Social and Intergroup Psychology (6 papers), Prenatal Screening and Diagnostics (5 papers), Memory Processes and Influences (3 papers), Cultural Differences and Values (3 papers), Advanced Graph Theory Research (2 papers), Child and Animal Learning Development (2 papers), Advanced Topics in Algebra (1 paper) and Attachment and Relationship Dynamics (1 paper). The work is most often cited by research in General Decision Sciences (128 citations), Applied Psychology (285 citations), Social Psychology (649 citations), Communication (214 citations) and Sociology and Political Science (1.2k citations). Serena Chen has collaborated with scholars based in United States, Austria and United Kingdom. Frequent co-authors include Shelly Chaiken, Susan M. Andersen, David Shechter, Roger Giner‐Sorolla, Steve W. Cole, Noah S. Glassman, S. Munné, J. Fischer, Jacques Cohen and Alice H. Eagly. Their work appears in journals such as Fertility and Sterility, Journal of Personality and Social Psychology, Placenta, Psychological Bulletin and Psychological Review.

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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