Sunghan Kim
- Cognitive Neuroscience top 10%
- Neuropsychology and Physiological Psychology top 5%
- General Decision Sciences top 5%
- Cellular and Molecular Neuroscience
- Social Psychology
- Co-authors
- James McNamesLynn HasherUrsula J. WiprzyckaKwang Hee KoM. Karl HealeyDavid GoldsteinKi-Ahm LeeLars Holmstrom
- Topics
- Advanced Mathematical Modeling in Engineering (10 papers)Nonlinear Partial Differential Equations (9 papers)Numerical methods in inverse problems (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaPsychology and AgingArchive for Rational Mechanics and Analysis
- Partner nations
- South KoreaSwedenUnited States
In The Last Decade
Sunghan Kim
20 papers receiving 321 citations
Peers
Comparison fields: 5 of 85
- Cognitive Neuroscience 115
- Neuropsychology and Physiological Psychology 54
- General Decision Sciences 52
- Cellular and Molecular Neuroscience 45
- Social Psychology 36
Countries citing papers authored by Sunghan Kim
This map shows the geographic impact of Sunghan 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 Sunghan Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunghan Kim more than expected).
Fields of papers citing papers by Sunghan Kim
This network shows the impact of papers produced by Sunghan 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 Sunghan Kim. The network helps show where Sunghan Kim may publish in the future.
Co-authorship network of co-authors of Sunghan Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Sunghan Kim. A scholar is included among the top collaborators of Sunghan 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 Sunghan Kim. Sunghan Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 10 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 10 | |
| 13 | 47 | |
| 14 | 6 | |
| 15 | 5 | |
| 16 | 59 | |
| 17 | 4 | |
| 18 | 17 | |
| 19 | 5 | |
| 20 | 93 |
About Sunghan Kim
Sunghan Kim is a scholar working on General Decision Sciences, Applied Mathematics and Neuropsychology and Physiological Psychology, having authored 24 papers that have together received 345 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (10 papers), Nonlinear Partial Differential Equations (9 papers) and Numerical methods in inverse problems (4 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (54 citations), General Decision Sciences (52 citations) and Geology (36 citations). Sunghan Kim has collaborated with scholars based in South Korea, Sweden and United States. Frequent co-authors include James McNames, Lynn Hasher, Ursula J. Wiprzycka, Kwang Hee Ko, M. Karl Healey, David Goldstein, Ki-Ahm Lee, Lars Holmstrom, Henrik Shahgholian and Marius Ghergu. Their work appears in journals such as SHILAP Revista de lepidopterología, Psychology and Aging and Archive for Rational Mechanics and Analysis.
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.