Timothy Layton

1.4k total citations
39 papers, 585 citations indexed

About

Timothy Layton is a scholar working on Economics and Econometrics, General Health Professions and Finance. According to data from OpenAlex, Timothy Layton has authored 39 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Economics and Econometrics, 26 papers in General Health Professions and 11 papers in Finance. Recurrent topics in Timothy Layton's work include Healthcare Policy and Management (34 papers), Global Health Care Issues (16 papers) and Healthcare Systems and Reforms (10 papers). Timothy Layton is often cited by papers focused on Healthcare Policy and Management (34 papers), Global Health Care Issues (16 papers) and Healthcare Systems and Reforms (10 papers). Timothy Layton collaborates with scholars based in United States, United Kingdom and Netherlands. Timothy Layton's co-authors include Michael Geruso, Thomas G. McGuire, Dániel Prinz, Michael L. Barnett, Anupam B. Jena, Andrew M. Ryan, Anna D. Sinaiko, Sherri Rose, Tal Gross and Richard C. van Kleef and has published in prestigious journals such as New England Journal of Medicine, American Economic Review and Journal of Political Economy.

In The Last Decade

Timothy Layton

36 papers receiving 561 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timothy Layton United States 14 424 347 72 45 28 39 585
Susan D. Hosek United States 12 201 0.5× 222 0.6× 28 0.4× 57 1.3× 30 1.1× 59 458
Ha T Tu United States 14 260 0.6× 342 1.0× 37 0.5× 14 0.3× 21 0.8× 26 493
Pablo Moya Martínez Spain 12 198 0.5× 155 0.4× 67 0.9× 22 0.5× 36 1.3× 38 639
Samantha Hawkins United States 13 449 1.1× 402 1.2× 27 0.4× 6 0.1× 16 0.6× 16 563
Harriet Komisar United States 8 158 0.4× 394 1.1× 19 0.3× 27 0.6× 21 0.8× 11 505
Padmaja Ayyagari United States 18 232 0.5× 424 1.2× 25 0.3× 37 0.8× 64 2.3× 38 770
Vivian Y. Wu United States 11 241 0.6× 334 1.0× 28 0.4× 47 1.0× 17 0.6× 18 491
Rohit Pradhan United States 13 119 0.3× 373 1.1× 18 0.3× 38 0.8× 6 0.2× 46 521
Sally Trude United States 11 235 0.6× 246 0.7× 19 0.3× 24 0.5× 22 0.8× 26 364
Rosemary Stevens United States 17 214 0.5× 301 0.9× 29 0.4× 26 0.6× 11 0.4× 60 716

Countries citing papers authored by Timothy Layton

Since Specialization
Citations

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

Fields of papers citing papers by Timothy Layton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timothy Layton

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy Layton. A scholar is included among the top collaborators of Timothy Layton 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 Timothy Layton. Timothy Layton 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.
Layton, Timothy, et al.. (2025). The dynamic fiscal costs of outsourcing health insurance - evidence from Medicaid. Journal of Public Economics. 247. 105417–105417. 1 indexed citations
2.
Sun, Jingwei, et al.. (2025). Medigap Regulations Provide Protections For Beneficiaries, Especially After Health Shocks, But May Raise Premiums. Health Affairs. 44(7). 855–861. 1 indexed citations
3.
Kreider, Amanda R., Timothy Layton, Mark Shepard, & Jacob Wallace. (2024). Adverse selection and network design under regulated plan prices: Evidence from Medicaid. Journal of Health Economics. 97. 102901–102901. 1 indexed citations
4.
Shepard, Mark, et al.. (2024). Small Marketplace Premiums Pose Financial And Administrative Burdens: Evidence From Massachusetts, 2016–17. Health Affairs. 43(1). 80–90. 3 indexed citations
5.
Geruso, Michael, Timothy Layton, & Adam Leive. (2023). The Incidence of Adverse Selection: Theory and Evidence from Health Insurance Choices. SSRN Electronic Journal.
6.
Gross, Tal, Timothy Layton, & Dániel Prinz. (2022). The Liquidity Sensitivity of Healthcare Consumption: Evidence from Social Security Payments. PubMed. 4(2). 175–190. 23 indexed citations
7.
Geruso, Michael, et al.. (2021). The Two-Margin Problem in Insurance Markets. The Review of Economics and Statistics. 105(2). 237–257. 16 indexed citations
8.
Punjabi, Prakash P, et al.. (2019). Does Scheduling a Postdischarge Visit with a Primary Care Physician Increase Rates of Follow-up and Decrease Readmissions?. Journal of Hospital Medicine. 14. e37–e42. 9 indexed citations
9.
Layton, Timothy, et al.. (2019). Data transformations to improve the performance of health plan payment methods. Journal of Health Economics. 66. 195–207. 15 indexed citations
10.
Geruso, Michael & Timothy Layton. (2019). Upcoding: Evidence from Medicare on Squishy Risk Adjustment. Journal of Political Economy. 128(3). 984–1026. 130 indexed citations
11.
McGarry, Brian E., Timothy Layton, & David C. Grabowski. (2019). The effects of plan payment rates on the market for Medicare Advantage Dual‐Eligible Special Needs Plans. Health Services Research. 54(5). 1137–1145. 2 indexed citations
12.
Layton, Timothy, Thomas G. McGuire, & Richard C. van Kleef. (2018). Deriving risk adjustment payment weights to maximize efficiency of health insurance markets. Journal of Health Economics. 61. 93–110. 23 indexed citations
13.
Layton, Timothy. (2017). Imperfect risk adjustment, risk preferences, and sorting in competitive health insurance markets. Journal of Health Economics. 56. 259–280. 20 indexed citations
14.
Layton, Timothy, et al.. (2017). Measuring efficiency of health plan payment systems in managed competition health insurance markets. Journal of Health Economics. 56. 237–255. 31 indexed citations
15.
Rose, Sherri, et al.. (2017). Computational health economics for identification of unprofitable health care enrollees. Biostatistics. 18(4). 682–694. 14 indexed citations
16.
Sinaiko, Anna D., Timothy Layton, Sherri Rose, & Thomas G. McGuire. (2017). Implications of family risk pooling for individual health insurance markets. Health Services and Outcomes Research Methodology. 17(3-4). 219–236. 1 indexed citations
17.
Layton, Timothy. (2016). Upcoding or Selection? Evidence from Medicare on Squishy Risk Adjustment.
18.
Layton, Timothy, Thomas G. McGuire, & Anna D. Sinaiko. (2016). Risk Corridors and Reinsurance in Health Insurance Marketplaces: Insurance for Insurers. American Journal of Health Economics. 2(1). 66–95. 20 indexed citations
19.
McIntyre, Frank, Daniel Sullivan, & Timothy Layton. (2010). Did BAPCPA Deter the Wealthy? The 2005 Bankruptcy Reform’s Effect on Filings Across the Income and Asset Distribution. SSRN Electronic Journal. 2 indexed citations
20.
Allen, Nicholas B., et al.. (1997). The relationship between sociotropy/autonomy and patterns of symptomatology in the depressed elderly. British Journal of Clinical Psychology. 36(1). 121–132. 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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