Seth Richards‐Shubik

823 total citations
32 papers, 384 citations indexed

About

Seth Richards‐Shubik is a scholar working on General Health Professions, Economics and Econometrics and Demography. According to data from OpenAlex, Seth Richards‐Shubik has authored 32 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in General Health Professions, 15 papers in Economics and Econometrics and 8 papers in Demography. Recurrent topics in Seth Richards‐Shubik's work include Global Health Care Issues (15 papers), Employment and Welfare Studies (6 papers) and Healthcare Policy and Management (6 papers). Seth Richards‐Shubik is often cited by papers focused on Global Health Care Issues (15 papers), Employment and Welfare Studies (6 papers) and Healthcare Policy and Management (6 papers). Seth Richards‐Shubik collaborates with scholars based in United States, Türkiye and Canada. Seth Richards‐Shubik's co-authors include Ellen Meara, David Cutler, Fabian Lange, Christopher J. Ruhm, Elie Tamer, Guy David, Sara Markowitz, Áureo de Paula, Julie M. Donohue and Chung‐Chou H. Chang and has published in prestigious journals such as PLoS ONE, American Economic Review and Econometrica.

In The Last Decade

Seth Richards‐Shubik

30 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seth Richards‐Shubik United States 11 184 117 90 76 43 32 384
Stéphane Jacobzone France 7 203 1.1× 165 1.4× 74 0.8× 101 1.3× 25 0.6× 20 375
Sandra Hopkins Australia 14 242 1.3× 216 1.8× 54 0.6× 35 0.5× 6 0.1× 35 462
Volker Ulrich Germany 8 405 2.2× 367 3.1× 98 1.1× 50 0.7× 8 0.2× 48 620
Esther Mot Netherlands 9 129 0.7× 73 0.6× 49 0.5× 78 1.0× 26 0.6× 21 274
Maria Polyakova United States 10 161 0.9× 224 1.9× 49 0.5× 10 0.1× 18 0.4× 28 378
Petronille Bogaert Belgium 8 132 0.7× 77 0.7× 84 0.9× 46 0.6× 11 0.3× 28 289
Jaeun Shin South Korea 9 108 0.6× 143 1.2× 18 0.2× 15 0.2× 14 0.3× 22 289
Christoph Sowada Poland 12 296 1.6× 222 1.9× 42 0.5× 18 0.2× 10 0.2× 47 542
Ha T Tu United States 14 342 1.9× 260 2.2× 50 0.6× 14 0.2× 25 0.6× 26 493
Andrew Sfekas United States 10 188 1.0× 193 1.6× 51 0.6× 11 0.1× 29 0.7× 17 524

Countries citing papers authored by Seth Richards‐Shubik

Since Specialization
Citations

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

Fields of papers citing papers by Seth Richards‐Shubik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seth Richards‐Shubik. 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 Seth Richards‐Shubik. The network helps show where Seth Richards‐Shubik may publish in the future.

Co-authorship network of co-authors of Seth Richards‐Shubik

This figure shows the co-authorship network connecting the top 25 collaborators of Seth Richards‐Shubik. A scholar is included among the top collaborators of Seth Richards‐Shubik 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 Seth Richards‐Shubik. Seth Richards‐Shubik 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.
Richards‐Shubik, Seth, Mark S. Roberts, & Julie M. Donohue. (2022). Measuring quality effects in equilibrium. Journal of Health Economics. 83. 102616–102616. 1 indexed citations
2.
Richards‐Shubik, Seth, et al.. (2021). Collaborative Production in Science: An Empirical Analysis of Coauthorships in Economics. The Review of Economics and Statistics. 104(6). 1241–1255. 11 indexed citations
3.
Chang, Chung‐Chou H., Haiden A. Huskamp, Walid F. Gellad, et al.. (2019). Association between physician adoption of a new oral anti-diabetic medication and Medicare and Medicaid drug spending. BMC Health Services Research. 19(1). 703–703. 1 indexed citations
4.
Cutler, David, Ellen Meara, & Seth Richards‐Shubik. (2018). Health and Work Capacity of Older Adults: Estimates and Implications for Social Security Policy. Figshare. 8 indexed citations
5.
Lange, Fabian, et al.. (2018). Testing for changes in the SES-mortality gradient when the distribution of education changes too. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 1 indexed citations
6.
Donohue, Julie M., Hasan Güçlü, Walid F. Gellad, et al.. (2018). Influence of peer networks on physician adoption of new drugs. PLoS ONE. 13(10). e0204826–e0204826. 41 indexed citations
7.
Paula, Áureo de, Seth Richards‐Shubik, & Elie Tamer. (2018). Identifying Preferences in Networks With Bounded Degree. Econometrica. 86(1). 263–288. 26 indexed citations
8.
Cuellar, Alison Evans, Amelia M. Haviland, Seth Richards‐Shubik, et al.. (2017). Boosting workplace wellness programs with financial incentives.. PubMed. 23(10). 604–610. 8 indexed citations
9.
Anderson, Timothy S., Wei‐Hsuan Lo‐Ciganic, Walid F. Gellad, et al.. (2017). Patterns and predictors of physician adoption of new cardiovascular drugs. Healthcare. 6(1). 33–40. 18 indexed citations
10.
Gaynor, Martin, et al.. (2016). Subsidies and Structure: The Lasting Impact of the Hill-Burton Program on the Hospital Industry. RePEc: Research Papers in Economics. 1 indexed citations
11.
Gaynor, Martin, et al.. (2016). Subsidies and Structure: The Lasting Impact of the Hill-Burton Program on the Hospital Industry. The Review of Economics and Statistics. 99(5). 926–943. 10 indexed citations
12.
Lo-Ciganic, Wei-Hsuan, et al.. (2016). Who were the early adopters of dabigatran? An application of group-based trajectory models. Value in Health. 19(3). A58–A58. 1 indexed citations
13.
Lange, Fabian, et al.. (2015). Testing for changes in the SES-mortality gradient when the distribution of education changes too. Journal of Health Economics. 46. 120–130. 20 indexed citations
14.
Richards‐Shubik, Seth. (2015). Peer effects in sexual initiation: Separating demand and supply mechanisms. Quantitative Economics. 6(3). 663–702. 11 indexed citations
15.
Cutler, David, Ellen Meara, & Seth Richards‐Shubik. (2013). Health and Work Capacity of Older Adults: Estimates and Implications for Social Security Policy. SSRN Electronic Journal. 18 indexed citations
16.
Cutler, David, Ellen Meara, & Seth Richards‐Shubik. (2012). Induced Innovation and Social Inequality: Evidence from Infant Medical Care. The Journal of Human Resources. 47(2). 456–492. 6 indexed citations
17.
Cutler, David, Ellen Meara, & Seth Richards‐Shubik. (2012). Induced Innovation and Social Inequality. The Journal of Human Resources. 47(2). 456–492. 4 indexed citations
18.
Cutler, David, et al.. (2011). Rising Educational Gradients in Mortality: The Role of Behavioral Factors. 30(6). 1 indexed citations
19.
Horrace, William C. & Seth Richards‐Shubik. (2011). A Monte Carlo study of ranked efficiency estimates from frontier models. Journal of Productivity Analysis. 38(2). 155–165. 1 indexed citations
20.
Cutler, David, Fabian Lange, Ellen Meara, Seth Richards‐Shubik, & Christopher J. Ruhm. (2011). Rising educational gradients in mortality: The role of behavioral risk factors. Journal of Health Economics. 30(6). 1174–1187. 85 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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