Adam Yavitz
- Safety Research top 2%
- Education top 2%
- Early Childhood Education and Development 5
- School Choice and Performance 3
- Parental Involvement in Education 1
- Gender Studies top 5%
- Clinical Psychology top 10%
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- Advanced Causal Inference Techniques 2
- Statistical Methods and Bayesian Inference 1
- Statistical Methods in Clinical Trials 1
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- Behavioral and Psychological Studies 1
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- Diverse Educational Innovations Studies 1
- Co-authors
- Seong Hyeok MoonRodrigo PintoPeter A. SavelyevJames J. HeckmanJames D. HeckmanAzeem M. Shaikh
- Journals
- Journal of Public Economics (1 paper)Quantitative Economics (1 paper)W&M Publish (College of William & Mary) (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Adam Yavitz
6 papers receiving 860 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Safety Research 241
- Education 559
- Gender Studies 102
- Clinical Psychology 162
- General Decision Sciences 12
Countries citing papers authored by Adam Yavitz
This map shows the geographic impact of Adam Yavitz'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 Adam Yavitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Yavitz more than expected).
Fields of papers citing papers by Adam Yavitz
This network shows the impact of papers produced by Adam Yavitz. 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 Adam Yavitz. The network helps show where Adam Yavitz may publish in the future.
Co-authorship network
The 6 scholars most cited alongside Adam Yavitz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 3 | |
| 2 | A New Cost-Benefit and Rate of Return Analysis for the Perry Preschool Program: A Summary. NBER Working Paper No. 16180. | 2010 | 8 |
| 3 | Economic Returns to Early Education for Disadvantaged Children: Lessons from the HighScope Perry Preschool Program (in Russian) | 2010 | 0 |
| 4 | 2010 | 2 | |
| 5 | 2010 | 197 | |
| 6 | The rate of return to the HighScope Perry Preschool Programbreakdown → | 2009 | 724 |
| 7 | 2009 | 27 |
About Adam Yavitz
Adam Yavitz is a scholar working on Statistics and Probability, Education and General Agricultural and Biological Sciences, having authored 7 papers that have together received 961 indexed citations. Recurring topics across this work include Early Childhood Education and Development (5 papers), School Choice and Performance (3 papers), Advanced Causal Inference Techniques (2 papers), Statistical Methods and Bayesian Inference (1 paper), Statistical Methods in Clinical Trials (1 paper), Behavioral and Psychological Studies (1 paper), Diverse Educational Innovations Studies (1 paper) and Parental Involvement in Education (1 paper). The work is most often cited by research in Safety Research (241 citations), Education (559 citations) and Gender Studies (102 citations). Adam Yavitz has collaborated with scholars based in United States and Germany. Frequent co-authors include Seong Hyeok Moon, Rodrigo Pinto, Peter A. Savelyev, James J. Heckman, James D. Heckman and Azeem M. Shaikh. Their work appears in journals such as Journal of Public Economics, Quantitative Economics and W&M Publish (College of William & Mary).
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.