Jonathan Vespa

831 citations
9 papers · 560 · h-index 8

Impact in

  • Demography top 1%
    • Family Dynamics and Relationships
    • Gender, Labor, and Family Dynamics
    • Demographic Trends and Gender Preferences
    • Gender Roles and Identity Studies

Papers in

Jonathan Vespa

9 papers receiving 517 citations

Peers

Jonathan Vespa
Comparison fields: 5 of 53
  • Demography 262
  • Gender Studies 188
  • Health 53
  • Sociology and Political Science 292
  • Social Psychology 129
Replace Maria Sironi with:
Maria Sironi United Kingdom
Diederik Boertien Spain
Constance T. Gager United States
Michael Feldhaus Germany
Alisa C. Lewin Israel
Linda Skogrand United States
Maggie Gallagher United States
Catherine T. Kenney United States
Fenaba R. Addo United States
Hsien-Hen Lu United States
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Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by Jonathan Vespa

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Vespa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Jonathan Vespa, 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 Jonathan Vespa Line = papers co-authored together Jonathan Vespa links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
First marriages in the United States: data from the 2006-2010 National Survey of Family Growth.
2012199
2 2009105
3 201266
4 201162
5
First Marriages in the United States: Data from the 2006-2010 National Survey of Family Growth. National Health Statistics Reports. Number 49.
201259
6 201434
7 201317
8 201213
9 20165

About Jonathan Vespa

Jonathan Vespa is a scholar working on Demography, Sociology and Political Science, Gender Studies, Social Psychology and Infectious Diseases, having authored 9 papers that have together received 560 indexed citations. Recurring topics across this work include Family Dynamics and Relationships (8 papers), Intergenerational Family Dynamics and Caregiving (6 papers), Gender, Labor, and Family Dynamics (3 papers), Demographic Trends and Gender Preferences (2 papers), Attachment and Relationship Dynamics (1 paper), Gender Diversity and Inequality (1 paper), Marriage and Family Dynamics (1 paper) and Gender Roles and Identity Studies (1 paper). The work is most often cited by research in Demography (262 citations), Gender Studies (188 citations), Health (53 citations), Sociology and Political Science (292 citations) and Social Psychology (129 citations). Jonathan Vespa has collaborated with scholars based in United States. Frequent co-authors include William D. Mosher, Casey E. Copen, Kimberly Daniels, Matthew A. Painter and Adrianne Frech. Their work appears in journals such as Demography, Journal of Marriage and the Family, Gender & Society, Journal of Family and Economic Issues and PubMed.

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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