Amanda C. Gottschall
- Clinical Psychology top 5%
- Sociology and Political Science top 10%
- Social Psychology top 10%
- Education top 10%
- General Health Professions
- Co-authors
- Craig K. EndersStephen G. WestYasemin Kisbu‐SakaryaDavid P. MacKinnonNatalie M. CostaIan K. VillaltaArmando PiñaCarl F. Weems
- Topics
- Statistical Methods and Bayesian Inference (3 papers)Advanced Causal Inference Techniques (2 papers)Child and Adolescent Psychosocial and Emotional Development (2 papers)
- Journals
- Journal of Consulting and Clinical PsychologyFrontiers in PsychologyJournal of Clinical Child & Adolescent Psychology
- Partner nations
- United States
In The Last Decade
Amanda C. Gottschall
7 papers receiving 501 citations
Peers
Comparison fields: 5 of 90
- Clinical Psychology 271
- Sociology and Political Science 124
- Social Psychology 95
- Education 73
- General Health Professions 62
Countries citing papers authored by Amanda C. Gottschall
This map shows the geographic impact of Amanda C. Gottschall'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 Amanda C. Gottschall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amanda C. Gottschall more than expected).
Fields of papers citing papers by Amanda C. Gottschall
This network shows the impact of papers produced by Amanda C. Gottschall. 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 Amanda C. Gottschall. The network helps show where Amanda C. Gottschall may publish in the future.
Co-authorship network of co-authors of Amanda C. Gottschall
This figure shows the co-authorship network connecting the top 25 collaborators of Amanda C. Gottschall. A scholar is included among the top collaborators of Amanda C. Gottschall 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 Amanda C. Gottschall. Amanda C. Gottschall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 73 | |
| 3 | 12 | |
| 4 | 157 | |
| 5 | 96 | |
| 6 | 72 | |
| 7 | 102 |
About Amanda C. Gottschall
Amanda C. Gottschall is a scholar working on Statistics and Probability, Applied Psychology and Clinical Psychology, having authored 7 papers that have together received 519 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (3 papers), Advanced Causal Inference Techniques (2 papers) and Child and Adolescent Psychosocial and Emotional Development (2 papers). The work is most often cited by research in Clinical Psychology (271 citations), Statistics and Probability (62 citations) and Applied Psychology (29 citations). Amanda C. Gottschall has collaborated with scholars based in United States. Frequent co-authors include Craig K. Enders, Stephen G. West, Yasemin Kisbu‐Sakarya, David P. MacKinnon, Natalie M. Costa, Ian K. Villalta, Armando Piña, Carl F. Weems, Claudio D. Ortiz and Su Yeong Kim. Their work appears in journals such as Journal of Consulting and Clinical Psychology, Frontiers in Psychology and Journal of Clinical Child & Adolescent 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.