Matthew E. Carnes

21 papers receiving 202 citations

Peers

Matthew E. Carnes
Comparison fields: 5 of 37
  • Public Administration 32
  • Political Science and International Relations 140
  • Gender Studies 39
  • Finance 35
  • General Health Professions 62
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Álvaro Forteza Uruguay
Theodoros Papadopoulos United Kingdom
Sônia Miriam Draibe Brazil
Charlotte Cavaillé United States
Juhana Vartiainen Finland
Romana Careja Denmark
Macarena Ares Spain
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Countries citing papers authored by Matthew E. Carnes

Since Specialization
Citations

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

Fields of papers citing papers by Matthew E. Carnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew E. Carnes. 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 Matthew E. Carnes. The network helps show where Matthew E. Carnes may publish in the future.

Co-authors

The 7 scholars most cited alongside Matthew E. Carnes, 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 Matthew E. Carnes Line = papers co-authored together Matthew E. Carnes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201355
2 201530
3 201527
4 201322
5 200914
6 200912
7 201312
8 201411
9 201610
10 20128
11 20146
12 20076
13 20215
14 20185
15
Measuring the Individual-Level Determinants of Social Insurance Preferences: Survey Evidence from the 2008 Argentine Pension Nationalization
20123
16 20093
17 20133
18
Coalitional Realignment and the Adoption of Non-Contributory Social Insurance Programs in Latin America
20132
19
Risk and Reversals: Explaining Individual-Level Support for Public Social Insurance Expansion in Latin America
20121
20 20151

About Matthew E. Carnes

Matthew E. Carnes is a scholar working on Political Science and International Relations, Sociology and Political Science, Gender Studies, General Health Professions and Finance, having authored 25 papers that have together received 238 indexed citations. Recurring topics across this work include Social Policy and Reform Studies (15 papers), Gender, Labor, and Family Dynamics (6 papers), Housing, Finance, and Neoliberalism (5 papers), Labor Movements and Unions (4 papers), Employment and Welfare Studies (4 papers), Politics and Society in Latin America (3 papers), Financial Literacy, Pension, Retirement Analysis (2 papers) and Religion and Society Interactions (2 papers). The work is most often cited by research in Public Administration (32 citations), Political Science and International Relations (140 citations), Gender Studies (39 citations), Finance (35 citations) and General Health Professions (62 citations). Matthew E. Carnes has collaborated with scholars based in United States. Frequent co-authors include Isabela Mares, Sarah Williamson, Neil Malhotra, Matt Beekman, Douglas A. Keszler, David C. Johnson and Darren W. Johnson. Their work appears in journals such as Latin American Politics and Society, Politics & Society, Political Science Quarterly, British Journal of Political Science and Journal of European Social Policy.

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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