Adam Yavitz

2.1k total citations · 1 hit paper
7 papers, 961 citations indexed

About

Adam Yavitz is a scholar working on Education, Statistics and Probability and General Agricultural and Biological Sciences. According to data from OpenAlex, Adam Yavitz has authored 7 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Education, 2 papers in Statistics and Probability and 1 paper in General Agricultural and Biological Sciences. Recurrent topics in Adam Yavitz's work include Early Childhood Education and Development (5 papers), School Choice and Performance (3 papers) and Advanced Causal Inference Techniques (2 papers). Adam Yavitz is often cited by papers focused on Early Childhood Education and Development (5 papers), School Choice and Performance (3 papers) and Advanced Causal Inference Techniques (2 papers). Adam Yavitz collaborates with scholars based in United States and Germany. Adam Yavitz's co-authors include Seong Hyeok Moon, Rodrigo Pinto, Peter A. Savelyev, James J. Heckman, James D. Heckman and Azeem M. Shaikh and has published in prestigious journals such as Journal of Public Economics, Quantitative Economics and W&M Publish (College of William & Mary).

In The Last Decade

Adam Yavitz

6 papers receiving 860 citations

Hit Papers

The rate of return to the HighScope Perry Preschool Program 2009 2026 2014 2020 2009 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adam Yavitz United States 4 559 241 238 162 122 7 961
Sonya Krutikova United Kingdom 13 236 0.4× 165 0.7× 239 1.0× 186 1.1× 134 1.1× 28 761
James Heckman United States 5 329 0.6× 139 0.6× 179 0.8× 85 0.5× 84 0.7× 8 669
Christina Felfe Switzerland 15 385 0.7× 159 0.7× 383 1.6× 121 0.7× 108 0.9× 37 888
Gerry Redmond Australia 19 372 0.7× 138 0.6× 450 1.9× 209 1.3× 212 1.7× 86 993
María Caridad Araujo United States 13 417 0.7× 439 1.8× 246 1.0× 79 0.5× 48 0.4× 33 994
J Bradshaw United Kingdom 13 245 0.4× 140 0.6× 355 1.5× 150 0.9× 295 2.4× 26 931
Alison Andrew United Kingdom 10 224 0.4× 66 0.3× 192 0.8× 186 1.1× 133 1.1× 23 652
Stefano Mosso United States 4 207 0.4× 98 0.4× 257 1.1× 54 0.3× 70 0.6× 4 580
Amy Hsin United States 12 342 0.6× 81 0.3× 446 1.9× 167 1.0× 85 0.7× 26 774
Emilia Del Bono United Kingdom 13 256 0.5× 84 0.3× 300 1.3× 93 0.6× 236 1.9× 37 876

Countries citing papers authored by Adam Yavitz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Adam Yavitz

This figure shows the co-authorship network connecting the top 25 collaborators of Adam Yavitz. A scholar is included among the top collaborators of Adam Yavitz 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 Adam Yavitz. Adam Yavitz 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.
Heckman, James J., Rodrigo Pinto, Azeem M. Shaikh, & Adam Yavitz. (2011). Inference with Imperfect Randomization: The Case of the Perry Preschool Program. SSRN Electronic Journal. 3 indexed citations
2.
Heckman, James J., Seong Hyeok Moon, Rodrigo Pinto, Peter A. Savelyev, & Adam Yavitz. (2010). A New Cost-Benefit and Rate of Return Analysis for the Perry Preschool Program: A Summary. NBER Working Paper No. 16180.. National Bureau of Economic Research. 8 indexed citations
3.
Heckman, James J., Seong Hyeok Moon, Rodrigo Pinto, Peter A. Savelyev, & Adam Yavitz. (2010). Economic Returns to Early Education for Disadvantaged Children: Lessons from the HighScope Perry Preschool Program (in Russian). W&M Publish (College of William & Mary). 3. 39.
4.
Heckman, James J., Seong Hyeok Moon, Rodrigo Pinto, Peter A. Savelyev, & Adam Yavitz. (2010). Analyzing Social Experiments as Implemented: A Reexamination of the Evidence from the Highscope Perry Preschool Program. SSRN Electronic Journal. 2 indexed citations
5.
Heckman, James D., Seong Hyeok Moon, Rodrigo Pinto, Peter A. Savelyev, & Adam Yavitz. (2010). Analyzing social experiments as implemented: A reexamination of the evidence from the HighScope Perry Preschool Program. Quantitative Economics. 1(1). 1–46. 197 indexed citations
6.
Heckman, James J., Seong Hyeok Moon, Rodrigo Pinto, Peter A. Savelyev, & Adam Yavitz. (2009). The rate of return to the HighScope Perry Preschool Program. Journal of Public Economics. 94(1-2). 114–128. 724 indexed citations breakdown →
7.
Heckman, James J., Seong Hyeok Moon, Rodrigo Pinto, Peter A. Savelyev, & Adam Yavitz. (2009). The Rate of Return to the High/Scope Perry Preschool Program. SSRN Electronic Journal. 27 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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