Phyllis Cummins

419 citations
55 papers · 223 · h-index 8

Impact in

Papers in

    • Retirement, Disability, and Employment 30
    • Education Systems and Policy 7
    • Higher Education Research Studies 7
    • Higher Education and Employability 6

Phyllis Cummins

45 papers receiving 214 citations

Peers

Phyllis Cummins
Comparison fields: 5 of 64
  • Neuropsychology and Physiological Psychology 11
  • Demography 52
  • Human Factors and Ergonomics 6
  • Education 64
  • Library and Information Sciences 3
Replace Alessandra Gaia with:
Alessandra Gaia Italy
Sandra Hupka-Brunner Switzerland
Heather E. Quick United States
Zeqi Qiu China
Kate Hamblin United Kingdom
Claire Jennings United States
Marieke Slootman Netherlands
Daniela V. Negraia United States
Débora B. Maehler Germany
Min-Hsiung Huang United States
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Citations per field
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Citations per year

Countries citing papers authored by Phyllis Cummins

Since Specialization
Citations

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

Fields of papers citing papers by Phyllis Cummins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Phyllis Cummins, 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 Phyllis Cummins Line = papers co-authored together Phyllis Cummins links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202035
2 201818
3 202217
4 201916
5 201911
6 20199
7 20158
8 20217
9 20187
10 20206
11 20156
12 20146
13 20235
14 20215
15 20135
16 20195
17 20184
18 20214
19 20214
20 20214

About Phyllis Cummins

Phyllis Cummins is a scholar working on Demography, Education, Economics and Econometrics, General Health Professions and Sociology and Political Science, having authored 55 papers that have together received 223 indexed citations. Recurring topics across this work include Retirement, Disability, and Employment (30 papers), Labor market dynamics and wage inequality (12 papers), Employment and Welfare Studies (8 papers), Education Systems and Policy (7 papers), Higher Education Research Studies (7 papers), Higher Education and Employability (6 papers), Aging and Gerontology Research (5 papers) and Health Literacy and Information Accessibility (4 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (11 citations), Demography (52 citations), Human Factors and Ergonomics (6 citations), Education (64 citations) and Library and Information Sciences (3 citations). Phyllis Cummins has collaborated with scholars based in United States, Australia and Brazil. Frequent co-authors include Takashi Yamashita, Thomas J. Smith, Suzanne Kunkel, Anthony R. Bardo, Darren Liu, Peter Riley Bahr, Philip Taylor, Rita Karam, William E. Even and Maria Inês Monteiro. Their work appears in journals such as Innovation in Aging, International Journal of Lifelong Education, Adult Education Quarterly, Journal of Applied Gerontology and Journal of Aging and Health.

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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