Diana Warren

657 total citations
21 papers, 399 citations indexed

About

Diana Warren is a scholar working on Demography, Management Science and Operations Research and Gender Studies. According to data from OpenAlex, Diana Warren has authored 21 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Demography, 5 papers in Management Science and Operations Research and 5 papers in Gender Studies. Recurrent topics in Diana Warren's work include Retirement, Disability, and Employment (10 papers), Gender, Labor, and Family Dynamics (5 papers) and demographic modeling and climate adaptation (5 papers). Diana Warren is often cited by papers focused on Retirement, Disability, and Employment (10 papers), Gender, Labor, and Family Dynamics (5 papers) and demographic modeling and climate adaptation (5 papers). Diana Warren collaborates with scholars based in Australia, United States and Germany. Diana Warren's co-authors include Mark Wooden, Robert Drago, Bruce Headey, Bruce Headey, Katina Sawyer, Karina M. Shreffler, Jacqueline Homel, Umut Oguzoglu, Roger Wilkins and Markus Hahn and has published in prestigious journals such as Substance Use & Misuse, British Journal of Industrial Relations and Population Research and Policy Review.

In The Last Decade

Diana Warren

19 papers receiving 360 citations

Peers

Diana Warren
Comparison fields: 5 of 66
  • General Health Professions 200
  • Sociology and Political Science 168
  • Demography 140
  • Gender Studies 92
  • Economics and Econometrics 77
Replace Laura Romeu Gordo with:
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Svenn‐Åge Dahl Norway
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Alexandros Zangelidis United Kingdom
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Hans‐Tore Hansen Norway
Per H. Jensen Denmark
Laura Romeu Gordo Germany View profile →
Citations per field, relative to Diana Warren
Diana Warren · 1×
Citations per year, relative to Diana Warren
Diana Warren · 1×

Countries citing papers authored by Diana Warren

Since Specialization
Citations

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

Fields of papers citing papers by Diana Warren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Warren

This figure shows the co-authorship network connecting the top 25 collaborators of Diana Warren. A scholar is included among the top collaborators of Diana Warren based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Diana Warren. Diana Warren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2
How we worked
1
3 0
4 18
5
The Longitudinal Study of Australian Children (LSAC) annual statistical report 2016: Chapter 5 - Young carers
1
6 12
7 17
8
The super challenge of retirement income policy
4
9 3
10 49
11 11
12 162
13
Families, Incomes and Jobs, Volume 4: A Statistical Report on Waves 1 to 6 of the HILDA Survey
16
14 7
15
The structure and distribution of household wealth in Australia: cohort differences and retirement issues
8
16 14
17
Families, Incomes and Jobs, Volume 2: A Statistical Report on Waves 1 to 4 of the HILDA Survey
22
18
Aspects of retirement for older women
19
19
Families, Incomes and Jobs: A Statistical Report of the HILDA Survey
30
20 4

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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