Gail D. Heyman
- Developmental and Educational Psychology top 0.5%
- Social Psychology top 0.5%
- Sociology and Political Science top 0.5%
- Cognitive Neuroscience top 2%
- Education top 0.5%
- Co-authors
- Susan A. GelmanKang LeeCarol S. DweckJessica W. GilesGenyue FuKathleen M. CainCristine H. LegareKimberly E. Vanderbilt
- Topics
- Child and Animal Learning Development (76 papers)Social and Intergroup Psychology (61 papers)Psychology of Moral and Emotional Judgment (35 papers)
- Cited by
- Developmental and Educational PsychologySocial PsychologyExperimental and Cognitive Psychology
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaChild Development
- Partner nations
- United StatesChinaCanada
In The Last Decade
Gail D. Heyman
145 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 115
- Developmental and Educational Psychology 2.2k
- Social Psychology 2.0k
- Sociology and Political Science 1.6k
- Cognitive Neuroscience 1.1k
- Education 1.1k
Countries citing papers authored by Gail D. Heyman
This map shows the geographic impact of Gail D. Heyman'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 Gail D. Heyman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gail D. Heyman more than expected).
Fields of papers citing papers by Gail D. Heyman
This network shows the impact of papers produced by Gail D. Heyman. 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 Gail D. Heyman. The network helps show where Gail D. Heyman may publish in the future.
Co-authorship network of co-authors of Gail D. Heyman
This figure shows the co-authorship network connecting the top 25 collaborators of Gail D. Heyman. A scholar is included among the top collaborators of Gail D. Heyman 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 Gail D. Heyman. Gail D. Heyman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 8 | |
| 11 | 7 | |
| 12 | How People Make Causal Judgments about Unprecedented Societal Events | 0 |
| 13 | 10 | |
| 14 | 7 | |
| 15 | 6 | |
| 16 | 17 | |
| 17 | 25 | |
| 18 | 17 | |
| 19 | 12 | |
| 20 | 43 |
About Gail D. Heyman
Gail D. Heyman is a scholar working on Developmental and Educational Psychology, Social Psychology and Health Informatics, having authored 158 papers that have together received 4.8k indexed citations. Recurring topics across this work include Child and Animal Learning Development (76 papers), Social and Intergroup Psychology (61 papers) and Psychology of Moral and Emotional Judgment (35 papers). The work is most often cited by research in Developmental and Educational Psychology (2.2k citations), Social Psychology (2.0k citations) and Experimental and Cognitive Psychology (1.1k citations). Gail D. Heyman has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Susan A. Gelman, Kang Lee, Carol S. Dweck, Jessica W. Giles, Genyue Fu, Kathleen M. Cain, Cristine H. Legare, Kimberly E. Vanderbilt, Brian J. Compton and Miao Qian. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Child Development.
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.