Amanda C. Gottschall

794 total citations
7 papers, 519 citations indexed

About

Amanda C. Gottschall is a scholar working on Statistics and Probability, Clinical Psychology and Computer Networks and Communications. According to data from OpenAlex, Amanda C. Gottschall has authored 7 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistics and Probability, 3 papers in Clinical Psychology and 1 paper in Computer Networks and Communications. Recurrent topics in Amanda C. Gottschall's 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). Amanda C. Gottschall is often cited by papers focused on Statistical Methods and Bayesian Inference (3 papers), Advanced Causal Inference Techniques (2 papers) and Child and Adolescent Psychosocial and Emotional Development (2 papers). Amanda C. Gottschall collaborates with scholars based in United States. Amanda C. Gottschall's 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 and has published in prestigious journals such as Journal of Consulting and Clinical Psychology, Frontiers in Psychology and Journal of Clinical Child & Adolescent Psychology.

In The Last Decade

Amanda C. Gottschall

7 papers receiving 501 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Amanda C. Gottschall United States 7 271 124 95 73 62 7 519
Waylon Howard United States 13 212 0.8× 101 0.8× 123 1.3× 127 1.7× 89 1.4× 25 611
Brian T Keller United States 9 106 0.4× 95 0.8× 93 1.0× 78 1.1× 48 0.8× 19 551
Anja van der Voort Netherlands 9 303 1.1× 108 0.9× 174 1.8× 99 1.4× 62 1.0× 15 666
Juana Gómez Spain 12 137 0.5× 37 0.3× 69 0.7× 54 0.7× 37 0.6× 20 354
Hilary Saner United States 8 206 0.8× 116 0.9× 102 1.1× 93 1.3× 107 1.7× 17 473
Renita R. Glaser United States 6 288 1.1× 76 0.6× 131 1.4× 100 1.4× 143 2.3× 8 669
Stephen G. West United States 4 386 1.4× 89 0.7× 155 1.6× 155 2.1× 233 3.8× 6 710
Charlie Rioux United States 14 229 0.8× 60 0.5× 105 1.1× 71 1.0× 74 1.2× 47 507
Jody S. Nicholson United States 10 145 0.5× 69 0.6× 76 0.8× 64 0.9× 43 0.7× 30 391
Wing-Shing Chan United States 4 91 0.3× 78 0.6× 70 0.7× 61 0.8× 53 0.9× 5 322

Countries citing papers authored by Amanda C. Gottschall

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

7 of 7 papers shown
1.
Fairchild, Amanda J., et al.. (2019). Evaluating a Method to Estimate Mediation Effects With Discrete-Time Survival Outcomes. Frontiers in Psychology. 10. 740–740. 7 indexed citations
2.
MacKinnon, David P., Yasemin Kisbu‐Sakarya, & Amanda C. Gottschall. (2013). Developments in Mediation Analysis. Oxford University Press eBooks. 73 indexed citations
3.
Fairchild, Amanda J., Winston E. Abara, Amanda C. Gottschall, Jenn‐Yun Tein, & Ronald J. Prinz. (2013). Improving Our Ability to Evaluate Underlying Mechanisms of Behavioral Onset and Other Event Occurrence Outcomes. Evaluation & the Health Professions. 38(3). 315–342. 12 indexed citations
4.
Gottschall, Amanda C., Stephen G. West, & Craig K. Enders. (2012). A Comparison of Item-Level and Scale-Level Multiple Imputation for Questionnaire Batteries. Multivariate Behavioral Research. 47(1). 1–25. 157 indexed citations
5.
Gonzales, Nancy A., Larry E. Dumka, Roger E. Millsap, et al.. (2011). Randomized trial of a broad preventive intervention for Mexican American adolescents.. Journal of Consulting and Clinical Psychology. 80(1). 1–16. 96 indexed citations
6.
Enders, Craig K. & Amanda C. Gottschall. (2011). Multiple Imputation Strategies for Multiple Group Structural Equation Models. Structural Equation Modeling A Multidisciplinary Journal. 18(1). 35–54. 72 indexed citations
7.
Piña, Armando, Ian K. Villalta, Claudio D. Ortiz, et al.. (2008). Social Support, Discrimination, and Coping as Predictors of Posttraumatic Stress Reactions in Youth Survivors of Hurricane Katrina. Journal of Clinical Child & Adolescent Psychology. 37(3). 564–574. 102 indexed citations

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.

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