Phil White

853 citations
23 papers · 572 · h-index 11

Impact in

Papers in

Phil White

20 papers receiving 497 citations

Peers

Phil White
Comparison fields: 5 of 55
  • Neuropsychology and Physiological Psychology 61
  • Demography 409
  • General Health Professions 283
  • Gender Studies 77
  • Organizational Behavior and Human Resource Management 70
Replace Dirk Hofäcker with:
Dirk Hofäcker Germany
Deborah Smeaton United Kingdom
Andy W. Chan Hong Kong
Patrick Button United States
Valerie Egdell United Kingdom
Patrik Marier Canada
Nancy D. Ursel Canada
Jiří Večerník Czechia
Miguel Á. Malo Spain
Kerry Platman United Kingdom
Phil White relative to Dirk Hofäcker Germany Dirk Hofäcker's profile →
Citations per field
00.5×3.2×
Dirk Hofäcker · 1×
Citations per year

Countries citing papers authored by Phil White

Since Specialization
Citations

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

Fields of papers citing papers by Phil White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Phil White, 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 Phil White Line = papers co-authored together Phil White links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006216
2 2000104
3 200640
4 200636
5
Older Workers and the Options for Flexible Work
200534
6 200628
7 200024
8 199716
9 200015
10 200113
11 199812
12 20069
13 19894
14 19954
15 19784
16
Older Workers in the Labour Market
20044
17
An Investigation of Older Workers in the Scottish Labour Market: Employability of older workers
20043
18 19892
19 20002
20 19891

About Phil White

Phil White is a scholar working on Demography, General Health Professions, Economics and Econometrics, Public Administration and Accounting, having authored 23 papers that have together received 572 indexed citations. Recurring topics across this work include Retirement, Disability, and Employment (12 papers), Employment and Welfare Studies (9 papers), Labor market dynamics and wage inequality (4 papers), Labor Movements and Unions (3 papers), Migration, Aging, and Tourism Studies (3 papers), Housing, Finance, and Neoliberalism (2 papers), Financial Literacy, Pension, Retirement Analysis (2 papers) and Digital Economy and Work Transformation (2 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (61 citations), Demography (409 citations), General Health Professions (283 citations), Gender Studies (77 citations) and Organizational Behavior and Human Resource Management (70 citations). Phil White has collaborated with scholars based in United Kingdom, China and Bulgaria. Frequent co-authors include Wendy Loretto, Colin Duncan, Tina Harrison, Kathryn Waite, Sarah Vickerstaff and Falconer Mitchell. Their work appears in journals such as Employee Relations, Social Policy and Society, Human Resource Management Journal, Personnel Review and Ageing and Society.

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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