Miriam King

24 papers receiving 248 citations

Peers

Miriam King
Comparison fields: 5 of 85
  • Demography 66
  • Gender Studies 45
  • Health 26
  • Sociology and Political Science 124
  • Statistics and Probability 22
Replace Thierry Eggerickx with:
Thierry Eggerickx Belgium
Gunnar Thorvaldsen Norway
Thomas N. Maloney United States
Donald T. Rowland Australia
Siegfried Gruber Austria
Anders Brändström Sweden
Jerry J. Maples United States
Michael Mueller‐Smith United States
Ursina Kuhn Switzerland
Volker Ludwig Germany
Miriam King relative to Thierry Eggerickx Belgium Thierry Eggerickx's profile →
Citations per field
00.5×7.3×
Thierry Eggerickx · 1×
Citations per year

Countries citing papers authored by Miriam King

Since Specialization
Citations

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

Fields of papers citing papers by Miriam King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Miriam King, 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 Miriam King Line = papers co-authored together Miriam King links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199042
2 200331
3 201126
4 200825
5 199024
6 199520
7 199514
8 199012
9 202212
10 202211
11 202011
12 202210
13 199010
14 20177
15 20036
16 19956
17 20114
18 20034
19 20213
20 20123

About Miriam King

Miriam King is a scholar working on Sociology and Political Science, Demography, Gender Studies, Management Science and Operations Research and Health, having authored 28 papers that have together received 285 indexed citations. Recurring topics across this work include demographic modeling and climate adaptation (4 papers), Family Dynamics and Relationships (4 papers), Demographic Trends and Gender Preferences (3 papers), Gender, Labor, and Family Dynamics (3 papers), Census and Population Estimation (3 papers), Health disparities and outcomes (3 papers), Urban, Neighborhood, and Segregation Studies (3 papers) and Insurance, Mortality, Demography, Risk Management (2 papers). The work is most often cited by research in Demography (66 citations), Gender Studies (45 citations), Health (26 citations), Sociology and Political Science (124 citations) and Statistics and Probability (22 citations). Miriam King has collaborated with scholars based in United States, Estonia and Switzerland. Frequent co-authors include Steven Ruggles, Samuel H. Preston, Matthew Sobek, Robert McCaa, Lynn A. Blewett, Deborah Levison, Michael E. Davern, Pamela Jo Johnson, Sarah Flood and Elizabeth Heger Boyle. Their work appears in journals such as Historical Methods A Journal of Quantitative and Interdisciplinary History, Social Science History, Journal of Family History, Journal of Neurologic Physical Therapy and The Journal of 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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