Ja‐Yong Koo
- Statistics and Probability top 1%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computational Mechanics top 10%
- Co-authors
- Peter T. KimJianqing FanSunghwan KimChangyi ParkKjell A. DoksumYoungnam HanHoon KimHanchul Kim
- Topics
- Statistical Methods and Inference (26 papers)Advanced Statistical Methods and Models (16 papers)Sparse and Compressive Sensing Techniques (11 papers)
- Partner nations
- South KoreaCanadaUnited States
In The Last Decade
Ja‐Yong Koo
90 papers receiving 971 citations
Peers
Comparison fields: 5 of 129
- Statistics and Probability 308
- Electrical and Electronic Engineering 191
- Computer Vision and Pattern Recognition 177
- Artificial Intelligence 176
- Computational Mechanics 108
Countries citing papers authored by Ja‐Yong Koo
This map shows the geographic impact of Ja‐Yong Koo'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 Ja‐Yong Koo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ja‐Yong Koo more than expected).
Fields of papers citing papers by Ja‐Yong Koo
This network shows the impact of papers produced by Ja‐Yong Koo. 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 Ja‐Yong Koo. The network helps show where Ja‐Yong Koo may publish in the future.
Co-authorship network of co-authors of Ja‐Yong Koo
This figure shows the co-authorship network connecting the top 25 collaborators of Ja‐Yong Koo. A scholar is included among the top collaborators of Ja‐Yong Koo 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 Ja‐Yong Koo. Ja‐Yong Koo 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 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 96 | |
| 9 | 1 | |
| 10 | 13 | |
| 11 | 4 | |
| 12 | 8 | |
| 13 | 10 | |
| 14 | 32 | |
| 15 | 61 | |
| 16 | 34 | |
| 17 | 1 | |
| 18 | 40 | |
| 19 | 13 | |
| 20 | 5 |
About Ja‐Yong Koo
Ja‐Yong Koo is a scholar working on Statistics and Probability, Computational Mathematics and Computational Mechanics, having authored 94 papers that have together received 1.0k indexed citations. Recurring topics across this work include Statistical Methods and Inference (26 papers), Advanced Statistical Methods and Models (16 papers) and Sparse and Compressive Sensing Techniques (11 papers). The work is most often cited by research in Statistics and Probability (308 citations), Computer Vision and Pattern Recognition (177 citations) and Applied Mathematics (69 citations). Ja‐Yong Koo has collaborated with scholars based in South Korea, Canada and United States. Frequent co-authors include Peter T. Kim, Jianqing Fan, Sunghwan Kim, Changyi Park, Kjell A. Doksum, Youngnam Han, Hoon Kim, Hanchul Kim, David Pommerenke and Jae Won Lee. Their work appears in journals such as Physical Review Letters, Nano Letters and Journal of the American Statistical Association.
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.