John G. Treble

1.7k citations
43 papers · 1.0k · h-index 17

Impact in

Papers in

John G. Treble

40 papers receiving 872 citations

Peers

John G. Treble
Comparison fields: 5 of 78
  • Public Administration 77
  • Demography 243
  • General Health Professions 466
  • Gender Studies 189
  • Economics and Econometrics 512
Replace Tim Barmby with:
Tim Barmby United Kingdom
John G. Sessions United Kingdom
Melvyn Coles United Kingdom
Todd L. Idson United States
Christopher J. Flinn United States
Pierre W. C. Koning Netherlands
Paul L. Latreille United Kingdom
Harald Dale‐Olsen Norway
Judith K. Hellerstein United States
H. Gregg Lewis United States
John G. Treble relative to Tim Barmby United Kingdom Tim Barmby's profile →
Citations per field
00.5×1.5×
Tim Barmby · 1×
Citations per year

Countries citing papers authored by John G. Treble

Since Specialization
Citations

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

Fields of papers citing papers by John G. Treble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John G. Treble. 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 John G. Treble. The network helps show where John G. Treble may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002167
2 1994105
3 1991104
4 200174
5 199558
6 199455
7 199353
8 200452
9 199447
10 198243
11 199633
12 199028
13 199327
14 198726
15 200723
16 199120
17 198319
18 199416
19
Public- and Private-Sector Training of Young People in Britain
199413
20 201110

About John G. Treble

John G. Treble is a scholar working on Economics and Econometrics, Public Administration, General Health Professions, Finance and Demography, having authored 43 papers that have together received 1.0k indexed citations. Recurring topics across this work include Labor market dynamics and wage inequality (12 papers), Employment and Welfare Studies (8 papers), Labor Movements and Unions (7 papers), Retirement, Disability, and Employment (5 papers), Housing, Finance, and Neoliberalism (5 papers), Historical Economic and Social Studies (5 papers), Gender, Labor, and Family Dynamics (4 papers) and Taxation and Compliance Studies (4 papers). The work is most often cited by research in Public Administration (77 citations), Demography (243 citations), General Health Professions (466 citations), Gender Studies (189 citations) and Economics and Econometrics (512 citations). John G. Treble has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Tim Barmby, Marco G. Ercolani, Chris D. Orme, Melvyn Coles, John G. Sessions, Peter Dolton, Gerald Makepeace, Sarah Bridges, Edwin van Gameren and Rick Audas. Their work appears in journals such as The Economic Journal, Labour Economics, Oxford Economic Papers, Economics Letters and Historical Methods A Journal of Quantitative and Interdisciplinary History.

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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