Marlene Kim

416 citations
28 papers · 269 · h-index 11

Impact in

Papers in

Marlene Kim

25 papers receiving 232 citations

Peers

Marlene Kim
Comparison fields: 5 of 57
  • Public Administration 41
  • Gender Studies 100
  • Economics and Econometrics 95
  • Sociology and Political Science 115
  • Organizational Behavior and Human Resource Management 27
Replace Susanne Steffes with:
Susanne Steffes Germany
Anita Ratcliffe United Kingdom
Kristen Keith United States
J. Rubery Bulgaria
Iga Magda Poland
M. van Klaveren Netherlands
Belinda Creel Davis United States
Mahasweta M. Banerjee United States
Ingrid Esser Sweden
William E. Spriggs United States
Marlene Kim relative to Susanne Steffes Germany Susanne Steffes's profile →
Citations per field
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Susanne Steffes · 1×
Citations per year

Countries citing papers authored by Marlene Kim

Since Specialization
Citations

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

Fields of papers citing papers by Marlene Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Marlene Kim, 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 Marlene Kim Line = papers co-authored together Marlene Kim 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 201538
2 201530
3 199925
4 199722
5 198922
6 200922
7 200215
8 199715
9 199813
10 201311
11 200710
12 20009
13 20186
14 20186
15 20225
16 20184
17 20204
18 20123
19
Where the Grass is Greener: Voluntary Turnover and Wage Premiums
20002
20
The Working Poor--A Statistical Artifact?
19992

About Marlene Kim

Marlene Kim is a scholar working on Economics and Econometrics, Sociology and Political Science, Gender Studies, Public Administration and General Health Professions, having authored 28 papers that have together received 269 indexed citations. Recurring topics across this work include Labor market dynamics and wage inequality (8 papers), Gender, Labor, and Family Dynamics (6 papers), Economic Theory and Institutions (5 papers), Labor Movements and Unions (5 papers), Political Economy and Marxism (4 papers), Employment and Welfare Studies (4 papers), Migration, Ethnicity, and Economy (3 papers) and Income, Poverty, and Inequality (3 papers). The work is most often cited by research in Public Administration (41 citations), Gender Studies (100 citations), Economics and Econometrics (95 citations), Sociology and Political Science (115 citations) and Organizational Behavior and Human Resource Management (27 citations). Marlene Kim has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Thanos Mergoupis, Ana Patricia Muñoz, William Darity, Darrick Hamilton, Catherine J. Weinberger and Susan Moir. Their work appears in journals such as Review of Radical Political Economics, Feminist Economics, Industrial Relations A Journal of Economy and Society, Journal of Economic Issues and Journal of Social Issues.

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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