United States Social Security Administration

734 papers and 11.0k indexed citations i.

About

In recent decades, authors affiliated with United States Social Security Administration have published 734 papers, which have received a total of 11.0k indexed citations. Scholars at this organization have produced 346 papers in Demography, 275 papers in General Health Professions and 234 papers in Accounting on the topics of Retirement, Disability, and Employment (302 papers), Financial Literacy, Pension, Retirement Analysis (233 papers) and Global Health Care Issues (162 papers). Their work is cited by papers focused on Economics and Econometrics (4.1k citations), General Health Professions (4.1k citations) and Demography (3.8k citations). Authors at United States Social Security Administration collaborate with scholars in United States, Germany and United Kingdom and have published in prestigious journals including The Journal of Finance, Journal of the American Statistical Association and American Economic Review. Some of United States Social Security Administration's most productive authors include Jae Song, Christopher R. Tamborini, Bert Kestenbaum, Hilary Waldron, Fatih Guvenen, Debra Sabatini Dwyer, Olivia S. Mitchell, Alexander Strand, Melissa A. Z. Knoll and Nicole Maestas.

In The Last Decade

Fields of papers published by authors at United States Social Security Administration

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with United States Social Security Administration at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with United States Social Security Administration at the time of their publication.

Countries citing scholars working at United States Social Security Administration

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at United States Social Security Administration. 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 papers produced at United States Social Security Administration with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites United States Social Security Administration more than expected).

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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