Won Moo Hurh

2.0k citations
33 papers · 1.4k indexed · h-index 20
Topics
Migration, Ethnicity, and Economy (24 papers)Migration and Labor Dynamics (8 papers)Urban, Neighborhood, and Segregation Studies (3 papers)
Partner nations
United StatesAustralia

In The Last Decade

Won Moo Hurh

32 papers receiving 1.2k citations

Peers

Won Moo Hurh
Comparison fields: 5 of 86
  • Sociology and Political Science 1.1k
  • Clinical Psychology 253
  • Demography 253
  • Health 185
  • General Health Professions 169
Replace Kwang Chung Kim with:
Kwang Chung Kim United States
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Steven J. Gold United States
Nazli Kibria United States
Morrison G. Wong United States
Mary G. Powers United States
Tomás R. Jiménez United States
George E. Pozzetta United States
Rosemary Sales Malta
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Won Moo Hurh relative to Kwang Chung Kim United States Kwang Chung Kim's profile →
Citations per field
00.5×1.5×
Kwang Chung Kim · 1×
Citations per year

Countries citing papers authored by Won Moo Hurh

Since Specialization
Citations

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

Fields of papers citing papers by Won Moo Hurh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won Moo Hurh. 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 Won Moo Hurh. The network helps show where Won Moo Hurh may publish in the future.

Co-authorship network of co-authors of Won Moo Hurh

This figure shows the co-authorship network connecting the top 25 collaborators of Won Moo Hurh. A scholar is included among the top collaborators of Won Moo Hurh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Won Moo Hurh. Won Moo Hurh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 28
2 2
3
The Korean Americans
78
4 1
5 42
6 10
7
The Extended Conjugal Family: Family-Kinship System Of Korean Immigrants In The United States
6
8 138
9 32
10 185
11 21
12 21
13 48
14 75
15 19
16 4
17 8
18
Social and Occupational Assimilation of Korean Immigrants in the United States.
4
19 33
20 6

About Won Moo Hurh

Won Moo Hurh is a scholar working on Sociology and Political Science, Cultural Studies and Management of Technology and Innovation, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Migration, Ethnicity, and Economy (24 papers), Migration and Labor Dynamics (8 papers) and Urban, Neighborhood, and Segregation Studies (3 papers). The work is most often cited by research in Sociology and Political Science (1.1k citations), Health (185 citations) and Demography (253 citations). Won Moo Hurh has collaborated with scholars based in United States and Australia. Frequent co-authors include Kwang Chung Kim, Morrison G. Wong, Shin Kim, Marilyn Fernandez, Kyeyoung Park, Peter J. Donaldson, Robert W. Gardner, Fred Arnold, James T. Fawcett and Wilhelm E. Mühlmann. Their work appears in journals such as Contemporary Sociology A Journal of Reviews, American Sociological Review and Social Forces.

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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