Meen Chul Kim
- Artificial Intelligence top 10%
- Molecular Biology
- Sociology and Political Science top 10%
- Information Systems top 10%
- Biomedical Engineering
- Topics
- scientometrics and bibliometrics research (5 papers)Complex Network Analysis Techniques (4 papers)Topic Modeling (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Medical Informatics AssociationNeuro-Oncology
- Partner nations
- United StatesSouth KoreaEthiopia
In The Last Decade
Meen Chul Kim
27 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 195
- Artificial Intelligence 144
- Molecular Biology 122
- Sociology and Political Science 122
- Information Systems 95
- Biomedical Engineering 79
Countries citing papers authored by Meen Chul Kim
This map shows the geographic impact of Meen Chul 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 Meen Chul Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meen Chul Kim more than expected).
Fields of papers citing papers by Meen Chul Kim
This network shows the impact of papers produced by Meen Chul 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 Meen Chul Kim. The network helps show where Meen Chul Kim may publish in the future.
Co-authorship network of co-authors of Meen Chul Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Meen Chul Kim. A scholar is included among the top collaborators of Meen Chul 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 Meen Chul Kim. Meen Chul 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 | 1 | |
| 2 | 21 | |
| 3 | 10 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 17 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | An investigation of the intellectual structure of opinion mining research | 18 |
| 11 | 13 | |
| 12 | 7 | |
| 13 | 5 | |
| 14 | 47 | |
| 15 | Emerging trends and new developments in regenerative medicine: a scientometric update (2000 – 2014)breakdown → | 622 |
| 16 | 8 | |
| 17 | 2 | |
| 18 | 189 | |
| 19 | Investigation into the existence of the indexer effect in key phrase extraction | 2 |
| 20 | 1 |
About Meen Chul Kim
Meen Chul Kim is a scholar working on Human-Computer Interaction, Statistics, Probability and Uncertainty and Library and Information Sciences, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (5 papers), Complex Network Analysis Techniques (4 papers) and Topic Modeling (3 papers). The work is most often cited by research in Health Informatics (19 citations), Communication (54 citations) and Statistics, Probability and Uncertainty (53 citations). Meen Chul Kim has collaborated with scholars based in United States, South Korea and Ethiopia. Frequent co-authors include Chaomei Chen, Yongjun Zhu, Min Song, Yoo Kyung Jeong, Fei Wang, Erjia Yan, Yuanyuan Feng, Donghun Kim, Guanqiu Qi and Thomas Park. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Medical Informatics Association and Neuro-Oncology.
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.