Tyler W. Watts
- Education top 0.5%
- Statistics and Probability top 0.5%
- Developmental and Educational Psychology top 2%
- Clinical Psychology top 10%
- Experimental and Cognitive Psychology top 5%
- Co-authors
- Greg J. DuncanPamela Davis‐KeanRobert S. SieglerDouglas H. ClementsChristopher B. WolfeMary Elaine SpitlerTutrang NguyenDrew H. Bailey
- Topics
- Early Childhood Education and Development (24 papers)School Choice and Performance (12 papers)Cognitive and developmental aspects of mathematical skills (8 papers)
- Partner nations
- United StatesChinaChile
In The Last Decade
Tyler W. Watts
35 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Education 1.0k
- Statistics and Probability 645
- Developmental and Educational Psychology 437
- Clinical Psychology 206
- Experimental and Cognitive Psychology 202
Countries citing papers authored by Tyler W. Watts
This map shows the geographic impact of Tyler W. Watts'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 Tyler W. Watts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyler W. Watts more than expected).
Fields of papers citing papers by Tyler W. Watts
This network shows the impact of papers produced by Tyler W. Watts. 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 Tyler W. Watts. The network helps show where Tyler W. Watts may publish in the future.
Co-authorship network of co-authors of Tyler W. Watts
This figure shows the co-authorship network connecting the top 25 collaborators of Tyler W. Watts. A scholar is included among the top collaborators of Tyler W. Watts 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 Tyler W. Watts. Tyler W. Watts 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 10 | |
| 9 | 13 | |
| 10 | 12 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 5 | |
| 14 | 9 | |
| 15 | 64 | |
| 16 | 71 | |
| 17 | Which preschool mathematics competencies are most predictive of fifth grade achievement?breakdown → | 268 |
| 18 | Preventing Preschool Fadeout through Instructional Intervention in Kindergarten and First Grade. | 7 |
| 19 | 41 | |
| 20 | The Groove of Growth: How Early Gains in Math Ability Influence Adolescent Achievement. | 1 |
About Tyler W. Watts
Tyler W. Watts is a scholar working on Education, Statistics and Probability and Experimental and Cognitive Psychology, having authored 39 papers that have together received 1.5k indexed citations. Recurring topics across this work include Early Childhood Education and Development (24 papers), School Choice and Performance (12 papers) and Cognitive and developmental aspects of mathematical skills (8 papers). The work is most often cited by research in Statistics and Probability (645 citations), Education (1.0k citations) and Developmental and Educational Psychology (437 citations). Tyler W. Watts has collaborated with scholars based in United States, China and Chile. Frequent co-authors include Greg J. Duncan, Pamela Davis‐Kean, Robert S. Siegler, Douglas H. Clements, Christopher B. Wolfe, Mary Elaine Spitler, Tutrang Nguyen, Drew H. Bailey, Julie Sarama and Mimi Engel. Their work appears in journals such as Science, Psychological Bulletin and PLoS ONE.
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.