Jennifer A. Joy-Gaba
- Sociology and Political Science top 10%
- Social Psychology top 10%
- Cognitive Neuroscience
- Public Health, Environmental and Occupational Health
- Statistics, Probability and Uncertainty top 5%
- Co-authors
- Brian A. NosekCarlee Beth HawkinsKenneth M. WellsJeffrey GreenSally A. LinkenaugerJonathan Z. BakdashCharles LeeJesse Graham
- Topics
- Social and Intergroup Psychology (6 papers)Behavioral Health and Interventions (4 papers)Meta-analysis and systematic reviews (2 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Jennifer A. Joy-Gaba
12 papers receiving 334 citations
Peers
Comparison fields: 5 of 95
- Sociology and Political Science 148
- Social Psychology 87
- Cognitive Neuroscience 55
- Public Health, Environmental and Occupational Health 44
- Statistics, Probability and Uncertainty 38
Countries citing papers authored by Jennifer A. Joy-Gaba
This map shows the geographic impact of Jennifer A. Joy-Gaba'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 A. Joy-Gaba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer A. Joy-Gaba more than expected).
Fields of papers citing papers by Jennifer A. Joy-Gaba
This network shows the impact of papers produced by Jennifer A. Joy-Gaba. 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 A. Joy-Gaba. The network helps show where Jennifer A. Joy-Gaba may publish in the future.
Co-authorship network of co-authors of Jennifer A. Joy-Gaba
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer A. Joy-Gaba. A scholar is included among the top collaborators of Jennifer A. Joy-Gaba 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 A. Joy-Gaba. Jennifer A. Joy-Gaba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 13 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 9 | |
| 6 | 18 | |
| 7 | 97 | |
| 8 | 45 | |
| 9 | 74 | |
| 10 | 17 | |
| 11 | 69 | |
| 12 | Cumulative and Career-Stage Citation Impact of Social-Personality Psychology Programs and Their Members | 1 |
About Jennifer A. Joy-Gaba
Jennifer A. Joy-Gaba is a scholar working on Applied Psychology, General Decision Sciences and Statistics, Probability and Uncertainty, having authored 12 papers that have together received 359 indexed citations. Recurring topics across this work include Social and Intergroup Psychology (6 papers), Behavioral Health and Interventions (4 papers) and Meta-analysis and systematic reviews (2 papers). The work is most often cited by research in Applied Psychology (32 citations), Statistics, Probability and Uncertainty (38 citations) and General Decision Sciences (8 citations). Jennifer A. Joy-Gaba has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Brian A. Nosek, Carlee Beth Hawkins, Kenneth M. Wells, Jeffrey Green, Sally A. Linkenauger, Jonathan Z. Bakdash, Charles Lee, Jesse Graham, Cheryl Hahn and Kathleen Schmidt. Their work appears in journals such as PLoS ONE, Computers & Education and Personality and Social Psychology 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.