Rosemary Pacini
- Social Psychology top 1%
- Sociology and Political Science top 1%
- General Decision Sciences top 0.2%
- Cognitive Neuroscience top 2%
- Applied Psychology top 0.5%
- Co-authors
- Seymour EpsteinVeronika Denes-Raj
- Topics
- Decision-Making and Behavioral Economics (5 papers)Behavioral Health and Interventions (3 papers)Emotional Intelligence and Performance (3 papers)
- Journals
- Journal of Personality and Social PsychologyPersonality and Social Psychology BulletinThinking & Reasoning
- Partner nations
- United States
In The Last Decade
Rosemary Pacini
10 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Social Psychology 1.2k
- Sociology and Political Science 1.1k
- General Decision Sciences 996
- Cognitive Neuroscience 844
- Applied Psychology 711
Countries citing papers authored by Rosemary Pacini
This map shows the geographic impact of Rosemary Pacini'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 Rosemary Pacini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosemary Pacini more than expected).
Fields of papers citing papers by Rosemary Pacini
This network shows the impact of papers produced by Rosemary Pacini. 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 Rosemary Pacini. The network helps show where Rosemary Pacini may publish in the future.
Co-authorship network of co-authors of Rosemary Pacini
This figure shows the co-authorship network connecting the top 25 collaborators of Rosemary Pacini. A scholar is included among the top collaborators of Rosemary Pacini 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 Rosemary Pacini. Rosemary Pacini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 39 | |
| 2 | The relation of rational and experiential information processing styles to personality, basic beliefs, and the ratio-bias phenomenon.breakdown → | 694 |
| 3 | Some basic issues regarding dual-process theories from the perspective of cognitive–experiential self-theory. | 172 |
| 4 | 47 | |
| 5 | The relation of rational and experiential information processing styles to personality, basic beliefs, and the ratio-bias phenomenon.breakdown → | 751 |
| 6 | 67 | |
| 7 | 55 | |
| 8 | Individual differences in intuitive-experiential and analytical-rational thinking styles.breakdown → | 974 |
| 9 | Individual differences in intuitive–experiential and analytical–rational thinking styles.breakdown → | 1150 |
| 10 | 29 |
About Rosemary Pacini
Rosemary Pacini is a scholar working on General Decision Sciences, General Psychology and Applied Psychology, having authored 10 papers that have together received 4.0k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (5 papers), Behavioral Health and Interventions (3 papers) and Emotional Intelligence and Performance (3 papers). The work is most often cited by research in General Decision Sciences (996 citations), Applied Psychology (711 citations) and Social Psychology (1.2k citations). Rosemary Pacini has collaborated with scholars based in United States. Frequent co-authors include Seymour Epstein and Veronika Denes-Raj. Their work appears in journals such as Journal of Personality and Social Psychology, Personality and Social Psychology Bulletin and Thinking & Reasoning.
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.