Stacy Dale

2.7k total citations · 1 hit paper
27 papers, 1.6k citations indexed

About

Stacy Dale is a scholar working on Economics and Econometrics, General Health Professions and Education. According to data from OpenAlex, Stacy Dale has authored 27 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Economics and Econometrics, 18 papers in General Health Professions and 6 papers in Education. Recurrent topics in Stacy Dale's work include Healthcare Policy and Management (15 papers), Primary Care and Health Outcomes (8 papers) and Geriatric Care and Nursing Homes (7 papers). Stacy Dale is often cited by papers focused on Healthcare Policy and Management (15 papers), Primary Care and Health Outcomes (8 papers) and Geriatric Care and Nursing Homes (7 papers). Stacy Dale collaborates with scholars based in United States and Germany. Stacy Dale's co-authors include Alan B. Krueger, Randall Brown, Leslie Foster, Barbara Lepidus Carlson, Timothy Day, Deborah Peikes, Kathleen Evanovich Zavotsky, Ann D. Bagchi, Natalya Verbitsky‐Savitz and Barbara Phillips and has published in prestigious journals such as New England Journal of Medicine, JAMA and The Quarterly Journal of Economics.

In The Last Decade

Stacy Dale

26 papers receiving 1.4k citations

Hit Papers

Estimating the Payoff to Attending a More Selective Colle... 2002 2026 2010 2018 2002 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Estimating the Payoff to Attending a More Selective College: An Application of Selection on Observables and Unobservables
    2002 612 citations Stacy Dale, Alan B. Krueger profile →

Peers

Stacy Dale
Susan Pickard United Kingdom
Martha Bailey United States
Andrew M. Gill United States
Julien Forder United Kingdom
Guyonne Kalb Australia
Douglas Wissoker United States
Stephen Harrison United Kingdom
Marc Frenette Canada
Larry L. Orr United States
Mark Wilberforce United Kingdom
Susan Pickard United Kingdom
Stacy Dale
Citations per year, relative to Stacy Dale Stacy Dale (= 1×) peers Susan Pickard

Countries citing papers authored by Stacy Dale

Since Specialization
Citations

This map shows the geographic impact of Stacy Dale'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 Stacy Dale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stacy Dale more than expected).

Fields of papers citing papers by Stacy Dale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stacy Dale. 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 Stacy Dale. The network helps show where Stacy Dale may publish in the future.

Co-authorship network of co-authors of Stacy Dale

This figure shows the co-authorship network connecting the top 25 collaborators of Stacy Dale. A scholar is included among the top collaborators of Stacy Dale 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 Stacy Dale. Stacy Dale is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fu, Ning, Stacy Dale, Sean Orzol, et al.. (2021). Long-Term Effects of the Comprehensive Primary Care Model on Health Care Spending and Utilization. Journal of General Internal Medicine. 37(7). 1713–1721. 4 indexed citations
2.
Orzol, Sean, et al.. (2020). Participation in the Comprehensive Primary Care Plus Initiative. The Annals of Family Medicine. 18(4). 309–317. 16 indexed citations
3.
Peikes, Deborah, Stacy Dale, Arkadipta Ghosh, et al.. (2018). The Comprehensive Primary Care Initiative: Effects On Spending, Quality, Patients, And Physicians. Health Affairs. 37(6). 890–899. 61 indexed citations
4.
Peikes, Deborah, Stacy Dale, Nancy Clusen, et al.. (2017). Patient experience midway through a large primary care practice transformation initiative.. PubMed. 23(3). 178–184. 8 indexed citations
5.
Dale, Stacy, Arkadipta Ghosh, Deborah Peikes, et al.. (2016). Two-Year Costs and Quality in the Comprehensive Primary Care Initiative. New England Journal of Medicine. 374(24). 2345–2356. 78 indexed citations
6.
Taylor, Erin Fries, Grace Anglin, Stacy Dale, et al.. (2015). Evaluation of the Comprehensive Primary Care Initiative: First Annual Report. Mathematica Policy Research Reports. 6 indexed citations
7.
Reid, Robert J., Timothy Day, Stacy Dale, et al.. (2014). Staffing Patterns of Primary Care Practices in the Comprehensive Primary Care Initiative. The Annals of Family Medicine. 12(2). 142–149. 64 indexed citations
8.
Dale, Stacy, et al.. (2012). Perceptions of Electronic Health Records and Their Effect on the Quality of Care: Results from a Survey of Patients in Four States. Mathematica Policy Research Reports. 2 indexed citations
9.
Dale, Stacy & Alan B. Krueger. (2011). Estimating the Return to College Selectivity over the Career Using Administrative Earnings Data. Mathematica Policy Research Reports. 2 indexed citations
10.
Dale, Stacy & Alan B. Krueger. (2011). Estimating the Return to College Selectivity over the Career Using Administrative Earnings Data. NBER Working Paper No. 17159.. National Bureau of Economic Research. 40 indexed citations
11.
12.
Moreno, Lorenzo, et al.. (2009). Costs to Medicare of the Informatics for Diabetes Education and Telemedicine (IDEATel) Home Telemedicine Demonstration. Diabetes Care. 32(7). 1202–1204. 36 indexed citations
13.
Foster, Leslie, Stacy Dale, & Randall Brown. (2007). How Caregivers and Workers Fared in Cash and Counseling. Health Services Research. 42(1p2). 510–532. 53 indexed citations
14.
Carlson, Barbara Lepidus, Leslie Foster, Stacy Dale, & Randall Brown. (2007). Effects of Cash and Counseling on Personal Care and Well‐Being. Health Services Research. 42(1p2). 467–487. 135 indexed citations
15.
Brown, Randall & Stacy Dale. (2007). The Research Design and Methodological Issues for the Cash and Counseling Evaluation. Health Services Research. 42(1p2). 414–445. 29 indexed citations
16.
Dale, Stacy & Randall Brown. (2007). How Does Cash and Counseling Affect Costs?. Health Services Research. 42(1p2). 488–509. 37 indexed citations
17.
Dale, Stacy & Randall Brown. (2006). Reducing Nursing Home Use Through Consumer-Directed Personal Care Services. Medical Care. 44(8). 760–767. 27 indexed citations
18.
Dale, Stacy, Randall Brown, Barbara Phillips, & Barbara Lepidus Carlson. (2005). How Do Hired Workers Fare Under Consumer-Directed Personal Care?. The Gerontologist. 45(5). 583–592. 17 indexed citations
19.
Dale, Stacy, Randall Brown, Barbara Phillips, & Barbara Lepidus Carlson. (2005). Experiences of Workers Hired Under Cash and Counseling Findings from Arkansas Florida and New Jersey. Mathematica Policy Research Reports. 3 indexed citations
20.
Dale, Stacy, Randall Brown, Barbara Phillips, Jennifer Schore, & Barbara Lepidus Carlson. (2003). The Effect of Consumer Direction On Personal Assistance Received in Arkansas. Mathematica Policy Research Reports. 4 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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