Jennifer D. Campbell

12.6k citations
39 papers · 8.5k indexed · 4 hit papers · h-index 25

Jennifer D. Campbell

38 papers receiving 7.6k citations

Hit Papers

Does High Self-Esteem Cause Better Performance, Interpe...1990202620022014200319961999199050010001.5k2.0k2.5k

Peers

Jennifer D. Campbell
Comparison fields: 5 of 155
  • Social Psychology 4.0k
  • Clinical Psychology 3.1k
  • Sociology and Political Science 2.6k
  • Experimental and Cognitive Psychology 2.4k
  • Applied Psychology 1.7k
Replace William Ickes with:
William Ickes United States
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Jennifer D. Campbell relative to William Ickes United States William Ickes's profile →
Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by Jennifer D. Campbell

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer D. Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer D. Campbell

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer D. Campbell. A scholar is included among the top collaborators of Jennifer D. Campbell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jennifer D. Campbell. Jennifer D. Campbell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 2
3 32
4
Exploding the self-esteem myth.
110
5
Does High Self-Esteem Cause Better Performance, Interpersonal Success, Happiness, or Healthier Lifestyles?breakdown →
2513
6 301
7 146
8 44
9 13
10 90
11
Self-concept clarity: Measurement, personality correlates, and cultural boundaries.breakdown →
1337
12 2
13 86
14 7
15 0
16 183
17 101
18 94
19 24
20 123

About Jennifer D. Campbell

Jennifer D. Campbell is a scholar working on Applied Psychology, General Decision Sciences and Neuropsychology and Physiological Psychology, having authored 39 papers that have together received 8.5k indexed citations. Recurring topics across this work include Behavioral Health and Interventions (8 papers), Social and Intergroup Psychology (7 papers) and Personality Traits and Psychology (7 papers). The work is most often cited by research in Applied Psychology (1.7k citations), Social Psychology (4.0k citations) and Experimental and Cognitive Psychology (2.4k citations). Jennifer D. Campbell has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Paul D. Trapnell, Kathleen D. Vohs, Joachim I. Krueger, Roy F. Baumeister, Loraine F. Lavallee, Ilana M. Katz, Darrin R. Lehman, Steven Heine, Patricia J. Fairey and Beverley Fehr. Their work appears in journals such as Journal of Personality and Social Psychology, Journal of Clinical Microbiology and Journal of Personality.

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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