Eun‐Young Mun

87 papers receiving 2.0k citations

Peers

Eun‐Young Mun
Comparison fields: 5 of 135
  • Applied Psychology 308
  • Epidemiology 745
  • Clinical Psychology 398
  • Experimental and Cognitive Psychology 239
  • General Health Professions 330
Replace José Ramón Fernández Hermida with:
José Ramón Fernández Hermida Spain
Jesse Dallery United States
Karen L. Dugosh United States
Michael O’Leary United States
Andrea M. Piccinin Canada
Britain A. Mills United States
Roger L. Greene United States
John C. Caruso United States
Teresa A. Treat United States
Danielle E. McCarthy United States
Eun‐Young Mun relative to José Ramón Fernández Hermida Spain José Ramón Fernández Hermida's profile →
Citations per field
00.5×3.7×
José Ramón Fernández Hermida · 1×
Citations per year

Countries citing papers authored by Eun‐Young Mun

Since Specialization
Citations

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

Fields of papers citing papers by Eun‐Young Mun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun‐Young Mun. 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 Eun‐Young Mun. The network helps show where Eun‐Young Mun may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005139
2 2015112
3
Analyzing Rater Agreement: Manifest Variable Methods
2004110
4 200795
5 200877
6 201073
7 200865
8 201663
9 200856
10 200855
11 201154
12 201450
13 200148
14
Advances in Configural Frequency Analysis
201048
15 201447
16 201244
17 201241
18 201036
19 200935
20 200834

About Eun‐Young Mun

Eun‐Young Mun is a scholar working on Epidemiology, General Health Professions, Applied Psychology, Statistics and Probability and Computer Networks and Communications, having authored 90 papers that have together received 2.1k indexed citations. Recurring topics across this work include Substance Abuse Treatment and Outcomes (36 papers), Behavioral Health and Interventions (16 papers), Mental Health Research Topics (12 papers), Advanced Statistical Modeling Techniques (12 papers), Health Policy Implementation Science (10 papers), Heart Rate Variability and Autonomic Control (9 papers), Homelessness and Social Issues (8 papers) and Statistical Methods and Bayesian Inference (6 papers). The work is most often cited by research in Applied Psychology (308 citations), Epidemiology (745 citations), Clinical Psychology (398 citations), Experimental and Cognitive Psychology (239 citations) and General Health Professions (330 citations). Eun‐Young Mun has collaborated with scholars based in United States, South Korea and Netherlands. Frequent co-authors include Helene R. White, Alexander von Eye, Michael Windle, T. J. Morgan, Anne E. Ray, Marsha E. Bates, Rebecca C. Windle, Rolf Loeber, David Huh and Evgeny Vaschillo. Their work appears in journals such as Alcoholism Clinical and Experimental Research, Psychology of Addictive Behaviors, Journal of Studies on Alcohol and Drugs, Prevention Science and Addictive Behaviors.

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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