Catalina Suárez-Rivera
- Developmental and Educational Psychology top 5%
- Education top 10%
- Cognitive Neuroscience
- Social Psychology
- Clinical Psychology
- Co-authors
- Linda B. SmithChen YuCatherine S. Tamis‐LeMondaDrew H. AbneyJulie Gros‐LouisJennifer MillerJohn M. FranchakYayun Zhang
- Topics
- Child and Animal Learning Development (8 papers)Language Development and Disorders (5 papers)Child Development and Digital Technology (3 papers)
- Journals
- Trends in Cognitive SciencesPhilosophical Transactions of the Royal Society B Biological SciencesDevelopmental Psychology
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Catalina Suárez-Rivera
12 papers receiving 251 citations
Peers
Comparison fields: 5 of 38
- Developmental and Educational Psychology 181
- Education 72
- Cognitive Neuroscience 65
- Social Psychology 37
- Clinical Psychology 29
Countries citing papers authored by Catalina Suárez-Rivera
This map shows the geographic impact of Catalina Suárez-Rivera'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 Catalina Suárez-Rivera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catalina Suárez-Rivera more than expected).
Fields of papers citing papers by Catalina Suárez-Rivera
This network shows the impact of papers produced by Catalina Suárez-Rivera. 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 Catalina Suárez-Rivera. The network helps show where Catalina Suárez-Rivera may publish in the future.
Co-authorship network of co-authors of Catalina Suárez-Rivera
This figure shows the co-authorship network connecting the top 25 collaborators of Catalina Suárez-Rivera. A scholar is included among the top collaborators of Catalina Suárez-Rivera 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 Catalina Suárez-Rivera. Catalina Suárez-Rivera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 0 | |
| 6 | 28 | |
| 7 | 24 | |
| 8 | 34 | |
| 9 | 11 | |
| 10 | 26 | |
| 11 | 103 | |
| 12 | 9 | |
| 13 | 13 |
About Catalina Suárez-Rivera
Catalina Suárez-Rivera is a scholar working on Developmental and Educational Psychology, Statistics and Probability and Human-Computer Interaction, having authored 13 papers that have together received 262 indexed citations. Recurring topics across this work include Child and Animal Learning Development (8 papers), Language Development and Disorders (5 papers) and Child Development and Digital Technology (3 papers). The work is most often cited by research in Developmental and Educational Psychology (181 citations), Pharmacy (23 citations) and Human-Computer Interaction (22 citations). Catalina Suárez-Rivera has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Linda B. Smith, Chen Yu, Catherine S. Tamis‐LeMonda, Drew H. Abney, Julie Gros‐Louis, Jennifer Miller, John M. Franchak, Yayun Zhang, Lauren K. Slone and Jeremy I. Borjon. Their work appears in journals such as Trends in Cognitive Sciences, Philosophical Transactions of the Royal Society B Biological Sciences and Developmental 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.