Jung Won Kim

1.4k citations
27 papers · 537 indexed · h-index 13
Topics
Autism Spectrum Disorder Research (9 papers)Digital Mental Health Interventions (6 papers)Child Development and Digital Technology (5 papers)

In The Last Decade

Jung Won Kim

25 papers receiving 513 citations

Peers

Jung Won Kim
Comparison fields: 5 of 102
  • Applied Psychology 166
  • Cognitive Neuroscience 162
  • Education 100
  • Sociology and Political Science 99
  • Clinical Psychology 91
Replace Anita Schick with:
Anita Schick Germany
Hidemi Iwasaka Japan
Kaitlyn Dunlap United States
Xiaoli Liao China
Josephine F. Wilson United States
Giles W. Story United Kingdom
Neil Hammond United Kingdom
Huixi Dong China
Luana da Silva Chagas Brazil
Jung Won Kim relative to Anita Schick Germany Anita Schick's profile →
Citations per field
00.5×3.2×
Anita Schick · 1×
Citations per year

Countries citing papers authored by Jung Won Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jung Won Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jung Won Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jung Won Kim. A scholar is included among the top collaborators of Jung Won Kim 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 Jung Won Kim. Jung Won Kim 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 0
2 4
3 12
4 5
5 6
6 20
7 44
8 15
9 1
10 7
11 11
12 59
13 5
14
Recognition of Parents with Multicultural Background and Preschool Teachers about Multicultural Education
1
15 11
16 9
17 33
18
Differential effects of gonadotropin and orthovanadate on oocyte maturation, ovulation, and prostaglandin synthesis by Rana ovarian follicles in vitro.
12
19 21
20
Developing A Neural-Based Credit Evaluation System with Noisy Data Set
1

About Jung Won Kim

Jung Won Kim is a scholar working on Applied Psychology, Health Informatics and Cognitive Neuroscience, having authored 27 papers that have together received 537 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (9 papers), Digital Mental Health Interventions (6 papers) and Child Development and Digital Technology (5 papers). The work is most often cited by research in Applied Psychology (166 citations), Health Informatics (18 citations) and Cognitive Neuroscience (162 citations). Jung Won Kim has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include John Torous, Sun Jae Moon, Jinseub Hwang, Seung Min Bae, Steven Chan, John Luo, Philip Wang, Hyuk Bang Kwon, Rajesh K. Kana and Kyung Ja Chang. Their work appears in journals such as Journal of the American Academy of Child & Adolescent Psychiatry, Journal of Medical Internet Research and Archives of Disease in Childhood.

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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