Chan Mo Kim
Impact in
-
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Clinical Psychology top 10%
- Mindfulness and Compassion Interventions
- Suicide and Self-Harm Studies
Papers in
-
- Suicide and Self-Harm Studies 1
-
- Advanced Data Compression Techniques 2
- Advanced Vision and Imaging 1
- Co-authors
- Yong Beom Cho (3 shared papers)Sang‐Hyuk Lee (3 shared papers)Borah Kim (3 shared papers)Keunyoung Yook (1 shared paper)Ki-Hwan Yook (1 shared paper)Tae Kyou Choi (1 shared paper)Sung Joon Cho (1 shared paper)Shin Young Suh (1 shared paper)
- Journals
- Journal of Psychopharmacology (1 paper)Depression and Anxiety (1 paper)Journal of Affective Disorders (1 paper)Fish & Shellfish Immunology (1 paper)
- Partner nations
- South KoreaPuerto RicoChina
In The Last Decade
Chan Mo Kim
7 papers receiving 274 citations
Peers
Comparison fields: 5 of 61
- Experimental and Cognitive Psychology 85
- Clinical Psychology 125
- Computational Theory and Mathematics 90
- Hardware and Architecture 20
- Applied Psychology 10
Countries citing papers authored by Chan Mo Kim
This map shows the geographic impact of Chan Mo 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 Chan Mo Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chan Mo Kim more than expected).
Fields of papers citing papers by Chan Mo Kim
This network shows the impact of papers produced by Chan Mo 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 Chan Mo Kim. The network helps show where Chan Mo Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Chan Mo Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 132 | |
| 2 | 2009 | 131 | |
| 3 | 2015 | 38 | |
| 4 | 2022 | 12 | |
| 5 | 2016 | 8 | |
| 6 | 2008 | 5 | |
| 7 | 2008 | 1 |
About Chan Mo Kim
Chan Mo Kim is a scholar working on Clinical Psychology, Computer Vision and Pattern Recognition, Signal Processing, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering, having authored 7 papers that have together received 327 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (2 papers), Advanced Data Compression Techniques (2 papers), VLSI and FPGA Design Techniques (1 paper), Digital Filter Design and Implementation (1 paper), Plasma Applications and Diagnostics (1 paper), Suicide and Self-Harm Studies (1 paper), Advanced Vision and Imaging (1 paper) and Advanced Neuroimaging Techniques and Applications (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (85 citations), Clinical Psychology (125 citations), Computational Theory and Mathematics (90 citations), Hardware and Architecture (20 citations) and Applied Psychology (10 citations). Chan Mo Kim has collaborated with scholars based in South Korea, Puerto Rico and China. Frequent co-authors include Yong Beom Cho, Sang‐Hyuk Lee, Borah Kim, Keunyoung Yook, Ki-Hwan Yook, Tae Kyou Choi, Sung Joon Cho, Shin Young Suh, Yong‐Woo Kim and Su Kyung Song. Their work appears in journals such as Journal of Psychopharmacology, Depression and Anxiety, Journal of Affective Disorders and Fish & Shellfish Immunology.
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.