Ryan Goodstein

466 citations
18 papers · 271 · h-index 9

Impact in

  • Demography top 5%
    • Retirement, Disability, and Employment
  • Accounting top 10%
    • Financial Literacy, Pension, Retirement Analysis

Papers in

Ryan Goodstein

16 papers receiving 241 citations

Peers

Ryan Goodstein
Comparison fields: 5 of 27
  • Demography 114
  • Accounting 98
  • Finance 72
  • Economics and Econometrics 150
  • General Health Professions 98
Replace Monika Queisser with:
Monika Queisser France
Joseph Briggs United States
Eleni Karagiannaki United Kingdom
David McCarthy United States
Robert Holzmann
Justin van de Ven United Kingdom
Alfonso R. Sánchez Martín Spain
Raun van Ooijen Netherlands
Michela Coppola Germany
Maite Martínez‐Granado Spain
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Citations per field
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Citations per year

Countries citing papers authored by Ryan Goodstein

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Goodstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Ryan Goodstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ryan Goodstein Line = papers co-authored together Ryan Goodstein links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201085
2 201743
3 201037
4 201030
5 201117
6 201613
7 20078
8 20138
9 20208
10 20115
11 20135
12 20113
13 20183
14 20163
15 20162
16 20221
17 20230
18 20190

About Ryan Goodstein

Ryan Goodstein is a scholar working on Economics and Econometrics, Accounting, Finance, Demography and General Health Professions, having authored 18 papers that have together received 271 indexed citations. Recurring topics across this work include Housing Market and Economics (9 papers), Financial Literacy, Pension, Retirement Analysis (7 papers), Retirement, Disability, and Employment (5 papers), Housing, Finance, and Neoliberalism (4 papers), Employment and Welfare Studies (3 papers), Banking stability, regulation, efficiency (3 papers), Labor market dynamics and wage inequality (3 papers) and Urban, Neighborhood, and Segregation Studies (2 papers). The work is most often cited by research in Demography (114 citations), Accounting (98 citations), Finance (72 citations), Economics and Econometrics (150 citations) and General Health Professions (98 citations). Ryan Goodstein has collaborated with scholars based in United States and Germany. Frequent co-authors include David M. Blau, Sherrie L. W. Rhine, Paul Hanouna, Christof W. Stahel, Carlos D. Ramı́rez, Carlos Ramírez, Jeffrey M. Weinstein and Mark Kutzbach. Their work appears in journals such as The Journal of Human Resources, Journal of Banking & Finance, Labour Economics, Journal of Consumer Affairs and Real Estate Economics.

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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