Hyoun S. Kim

2.4k total citations
123 papers, 1.6k citations indexed

About

Hyoun S. Kim is a scholar working on Clinical Psychology, Sociology and Political Science and Epidemiology. According to data from OpenAlex, Hyoun S. Kim has authored 123 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Clinical Psychology, 29 papers in Sociology and Political Science and 16 papers in Epidemiology. Recurrent topics in Hyoun S. Kim's work include Gambling Behavior and Treatments (77 papers), Sexuality, Behavior, and Technology (44 papers) and Impact of Technology on Adolescents (17 papers). Hyoun S. Kim is often cited by papers focused on Gambling Behavior and Treatments (77 papers), Sexuality, Behavior, and Technology (44 papers) and Impact of Technology on Adolescents (17 papers). Hyoun S. Kim collaborates with scholars based in Canada, Brazil and Australia. Hyoun S. Kim's co-authors include David C. Hodgins, Michael J. A. Wohl, Daniel S. McGrath, Hermano Tavares, Jeffrey L. Derevensky, Rina Gupta, Keith S. Dobson, Julia C. Poole, Bruce S. Liese and Nassim Tabri and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Psychology Review.

In The Last Decade

Hyoun S. Kim

114 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hyoun S. Kim Canada 21 1.2k 396 193 181 153 123 1.6k
Anna Thomas Australia 21 868 0.7× 205 0.5× 132 0.7× 93 0.5× 81 0.5× 60 1.1k
Namrata Raylu Australia 19 1.9k 1.6× 215 0.5× 128 0.7× 133 0.7× 86 0.6× 29 2.1k
Martha Shaw United States 18 1.0k 0.8× 628 1.6× 66 0.3× 156 0.9× 53 0.3× 28 1.6k
Neus Aymamí Spain 27 1.4k 1.2× 248 0.6× 57 0.3× 93 0.5× 62 0.4× 54 1.6k
N. Will Shead Canada 15 569 0.5× 336 0.8× 47 0.2× 153 0.8× 240 1.6× 27 1.0k
Marie‐Cecile O. Tidwell United States 25 2.2k 1.8× 361 0.9× 343 1.8× 105 0.6× 381 2.5× 31 2.7k
Stephanie Merkouris Australia 23 1.8k 1.5× 175 0.4× 291 1.5× 258 1.4× 69 0.5× 74 2.1k
Marvin A. Steinberg United States 24 1.9k 1.6× 276 0.7× 250 1.3× 72 0.4× 88 0.6× 38 2.1k
Dave Clarke New Zealand 19 892 0.7× 162 0.4× 59 0.3× 127 0.7× 178 1.2× 40 1.1k
Lia Nower United States 27 3.3k 2.7× 561 1.4× 308 1.6× 183 1.0× 137 0.9× 63 3.6k

Countries citing papers authored by Hyoun S. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hyoun S. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyoun S. Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Hyoun S. Kim. A scholar is included among the top collaborators of Hyoun S. 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 Hyoun S. Kim. Hyoun S. 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
1.
Kim, Hyoun S., Matthew T. Keough, Samantha J. Dawson, et al.. (2024). Demographic, Mental Health, and Substance Use Correlates of Self-Described Medicinal Use, Recreational Use, and Non-Use of Hallucinogenic Drugs. International Journal of Mental Health and Addiction. 23(6). 4803–4823.
2.
Grubbs, Joshua B., et al.. (2024). Impulsivity and diverse forms of sports wagering in the U.S.: An examination of the UPPS-P model. Addictive Behaviors. 156. 108058–108058.
3.
Vedelago, Lana, Michael P Schaub, Sherry H. Stewart, et al.. (2024). Psychometric Validation of the Gambling Craving Scale in a Treatment-Seeking Sample. Journal of Gambling Studies. 40(3). 1761–1778. 1 indexed citations
4.
Girard, Todd A., et al.. (2024). Distal and proximal risk factors of problematic cannabis use associated with psychotic-like experiences. Addictive Behaviors. 152. 107978–107978. 1 indexed citations
5.
King, Daniel L., Daria J. Kuss, Douglas A. Gentile, et al.. (2024). Development of the Saini-Hodgins Addiction Risk Potential of Games (SHARP-G) Scale: An International Delphi study. Journal of Behavioral Addictions. 13(2). 450–462. 1 indexed citations
6.
Wardell, Jeffrey D., et al.. (2023). Gaming as a coping strategy during the COVID-19 pandemic. Cyberpsychology Journal of Psychosocial Research on Cyberspace. 17(3). 3 indexed citations
7.
Pun, Carson, et al.. (2023). Endorsement of psychotic-like experiences and problematic cannabis use associated with worse executive functioning performance in undergraduates. Drug and Alcohol Dependence. 254. 111054–111054. 2 indexed citations
8.
Kim, Hyoun S., Sherry H. Stewart, Daniel L. King, et al.. (2023). A scoping review of the association between loot boxes, esports, skin betting, and token wagering with gambling and video gaming behaviors. Journal of Behavioral Addictions. 12(2). 309–351. 9 indexed citations
9.
Kim, Hyoun S., Daniel S. McGrath, & David C. Hodgins. (2023). Addiction substitution and concurrent recovery in gambling disorder: Who substitutes and why?. Journal of Behavioral Addictions. 12(3). 682–696. 3 indexed citations
10.
11.
Kim, Hyoun S., et al.. (2023). A Systematic Review of Pharmacological Treatments for Internet Gaming Disorder. Psychiatry Investigation. 20(8). 696–706. 13 indexed citations
12.
Keough, Matthew T., et al.. (2023). Who makes in-play bets? Investigating the demographics, psychological characteristics, and gambling-related harms of in-play sports bettors. Journal of Behavioral Addictions. 12(2). 547–556. 9 indexed citations
13.
Batista, Ilza Rosa, Hyoun S. Kim, Marcelo Q. Hoexter, et al.. (2022). Neuroimaging of Dopamine Transporter Density in the Striatum of Disordered Gamblers. Journal of Gambling Studies. 39(1). 119–136. 3 indexed citations
14.
Kim, Hyoun S., et al.. (2022). Affective impulsivity moderates the relationship between disordered gambling severity and attentional bias in electronic gaming machine (EGM) players. Journal of Behavioral Addictions. 11(2). 386–395. 8 indexed citations
15.
Kim, Hyoun S., et al.. (2022). Attentional Bias in Non–Smoking Electronic Cigarette Users: An Eye-Tracking Study. Nicotine & Tobacco Research. 24(9). 1439–1447.
16.
Kim, Hyoun S., et al.. (2022). An experiment on the perceived efficacy of fear-based messages in online roulette. International Gambling Studies. 22(3). 480–498. 7 indexed citations
17.
Rioux, Charlie, et al.. (2021). eHealth Interventions to Treat Substance Use in Pregnancy: A Systematic Review and Meta-Analysis. International Journal of Environmental Research and Public Health. 18(19). 9952–9952. 16 indexed citations
18.
Kim, Hyoun S., et al.. (2021). Offering small tangible rewards within social casino games increases in-play bets but does not impact real-money gambling. Addictive Behaviors. 120. 106984–106984. 4 indexed citations
19.
Kim, Hyoun S., et al.. (2018). Gambling-related cognitive distortions mediate the relationship between depression and disordered gambling severity. Addictive Behaviors. 90. 318–323. 24 indexed citations
20.
McGrath, Daniel S., et al.. (2018). Who Are the Anonymous? Involvement and Predictors of Gamblers Anonymous Attendance Among Disordered Gamblers Presenting for Treatment. Journal of Gambling Studies. 34(4). 1423–1434. 4 indexed citations

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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