Jennifer R. Winquist
- Experimental and Cognitive Psychology top 2%
- Clinical Psychology top 5%
- Social Psychology top 2%
- Sociology and Political Science top 5%
- Cognitive Neuroscience top 10%
- Co-authors
- Nilly MorJames R. LarsonLinda J. SkitkaSusan HutchinsonGretchen B. ChapmanTimothy M. FranzEva Gilboa‐SchechtmanShimrit Daches
- Topics
- Social and Intergroup Psychology (5 papers)Team Dynamics and Performance (3 papers)Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers)
- Journals
- Journal of Personality and Social PsychologyPsychological BulletinJournal of Experimental Social Psychology
- Partner nations
- United StatesChileIsrael
In The Last Decade
Jennifer R. Winquist
14 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Experimental and Cognitive Psychology 527
- Clinical Psychology 454
- Social Psychology 443
- Sociology and Political Science 308
- Cognitive Neuroscience 245
Countries citing papers authored by Jennifer R. Winquist
This map shows the geographic impact of Jennifer R. Winquist'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 R. Winquist with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer R. Winquist more than expected).
Fields of papers citing papers by Jennifer R. Winquist
This network shows the impact of papers produced by Jennifer R. Winquist. 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 R. Winquist. The network helps show where Jennifer R. Winquist may publish in the future.
Co-authorship network of co-authors of Jennifer R. Winquist
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer R. Winquist. A scholar is included among the top collaborators of Jennifer R. Winquist 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 R. Winquist. Jennifer R. Winquist is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 59 | |
| 2 | An Introduction to Statistics: An Active Learning Approach | 23 |
| 3 | 84 | |
| 4 | 28 | |
| 5 | 4 | |
| 6 | 16 | |
| 7 | 11 | |
| 8 | 154 | |
| 9 | Self-focused attention and negative affect: A meta-analysis.breakdown → | 803 |
| 10 | 66 | |
| 11 | 36 | |
| 12 | 67 | |
| 13 | 13 | |
| 14 | 160 |
About Jennifer R. Winquist
Jennifer R. Winquist is a scholar working on General Decision Sciences, Safety Research and Experimental and Cognitive Psychology, having authored 14 papers that have together received 1.5k indexed citations. Recurring topics across this work include Social and Intergroup Psychology (5 papers), Team Dynamics and Performance (3 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (527 citations), General Decision Sciences (71 citations) and Applied Psychology (131 citations). Jennifer R. Winquist has collaborated with scholars based in United States, Chile and Israel. Frequent co-authors include Nilly Mor, James R. Larson, Linda J. Skitka, Susan Hutchinson, Gretchen B. Chapman, Timothy M. Franz, Eva Gilboa‐Schechtman, Shimrit Daches and Daniel Arkkelin. Their work appears in journals such as Journal of Personality and Social Psychology, Psychological Bulletin and Journal of Experimental Social Psychology.
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.