John R. Chambers

42 papers receiving 2.1k citations

Hit Papers

The Ideological-Conflict Hypothesis201420262018202220142015100200300

Peers

John R. Chambers
Comparison fields: 5 of 99
  • Sociology and Political Science 1.5k
  • Social Psychology 875
  • Applied Psychology 438
  • Cognitive Neuroscience 431
  • Political Science and International Relations 307
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Citations per field
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Citations per year

Countries citing papers authored by John R. Chambers

Since Specialization
Citations

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

Fields of papers citing papers by John R. Chambers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. Chambers. 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 John R. Chambers. The network helps show where John R. Chambers may publish in the future.

Co-authorship network of co-authors of John R. Chambers

This figure shows the co-authorship network connecting the top 25 collaborators of John R. Chambers. A scholar is included among the top collaborators of John R. Chambers 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 John R. Chambers. John R. Chambers 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
Still no compellingevidence that Americans overestimate upward socio-economic mobility rates:Reply to Davidai and Gilovich (2018)
3
2 2
3 25
4
How should we measure Americans’ perceptions of socio-economic mobility?
10
5 68
6 1
7 69
8 7
9
Better Off than We Know: Distorted Perceptions of Incomes and Income Inequality in America
6
10 28
11 4
12
Why the Parts are Better (or Worse) than the Whole: The Unique-Attributes Hypothesis
1
13 5
14 89
15 11
16
Why Do I Hate Thee? Conflict Misperceptions and Intergroup Mistrust
3
17
Misperceptions in Intergroup Conflict: Disagreeing about What We Disagree about
4
18 424
19 39
20
Performance of MA-matched nonretarded and retarded children on measures of field-dependence.
5

About John R. Chambers

John R. Chambers is a scholar working on General Decision Sciences, Applied Psychology and Social Psychology, having authored 42 papers that have together received 2.2k indexed citations. Recurring topics across this work include Social and Intergroup Psychology (26 papers), Cultural Differences and Values (14 papers) and Decision-Making and Behavioral Economics (10 papers). The work is most often cited by research in General Decision Sciences (232 citations), Applied Psychology (438 citations) and Social Psychology (875 citations). John R. Chambers has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Paul D. Windschitl, Jarret T. Crawford, Mark J. Brandt, Geoffrey Wetherell, Christine Reyna, Barry R. Schlenker, Brian Collisson, Lawton K. Swan, Martin Heesacker and Charles M. Judd. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Personality and Social Psychology and Psychological Bulletin.

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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