Eva M. Bernhardt

682 citations
13 papers · 459 · h-index 7

Impact in

    • Gender, Labor, and Family Dynamics
    • Demographic Trends and Gender Preferences
  • Demography top 5%
    • Family Dynamics and Relationships

Papers in

    • Family Dynamics and Relationships 5
    • Insurance, Mortality, Demography, Risk Management 4
    • Work-Family Balance Challenges 3
    • Intergenerational Family Dynamics and Caregiving 2
    • Migration and Labor Dynamics 1

Eva M. Bernhardt

11 papers receiving 397 citations

Peers

Eva M. Bernhardt
Comparison fields: 5 of 82
  • Gender Studies 163
  • Demography 147
  • Nutrition and Dietetics 91
  • Urban Studies 27
  • Ocean Engineering 60
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Citations per field
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Citations per year

Countries citing papers authored by Eva M. Bernhardt

Since Specialization
Citations

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

Fields of papers citing papers by Eva M. Bernhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva M. Bernhardt. 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 Eva M. Bernhardt. The network helps show where Eva M. Bernhardt may publish in the future.

Co-authors

The 16 scholars most cited alongside Eva M. Bernhardt, 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 Eva M. Bernhardt Line = papers co-authored together Eva M. Bernhardt links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2017212
2 1993152
3 201125
4 197219
5 200117
6 198613
7 197210
8 19725
9
Complex paternal roles in the US and Sweden: biological step-and informal fatherhood
19962
10
Overcrowding and mortality from airborne infectious disease : The case of Stockholm 1895-1925
19952
11 20021
12 19741
13 20070

About Eva M. Bernhardt

Eva M. Bernhardt is a scholar working on Demography, Sociology and Political Science, Gender Studies, Management Science and Operations Research and Political Science and International Relations, having authored 13 papers that have together received 459 indexed citations. Recurring topics across this work include Gender, Labor, and Family Dynamics (5 papers), Family Dynamics and Relationships (5 papers), Insurance, Mortality, Demography, Risk Management (4 papers), demographic modeling and climate adaptation (3 papers), Work-Family Balance Challenges (3 papers), Intergenerational Family Dynamics and Caregiving (2 papers), Migration and Labor Dynamics (1 paper) and Urban and Rural Development Challenges (1 paper). The work is most often cited by research in Gender Studies (163 citations), Demography (147 citations), Nutrition and Dietetics (91 citations), Urban Studies (27 citations) and Ocean Engineering (60 citations). Eva M. Bernhardt has collaborated with scholars based in Sweden, United States and France. Frequent co-authors include Alex de Sherbinin, Yoshihide Wada, George A. Neville, Stéphanie Dos Santos, Ellis Adjei Adams, Susana B. Adamo, Frances Goldscheider, Calvin Goldscheider, Gayle Kaufman and Heather Koball. Their work appears in journals such as Population Studies, European Journal of Population / Revue européenne de Démographie, Journal of Marriage and the Family, Journal of Comparative Family Studies and Journal of Biosocial Science.

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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