Dongseok Im
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Aerospace Engineering
- Hardware and Architecture top 10%
- Co-authors
- Hoi‐Jun YooDonghyeon HanSanghoon KangJuhyoung LeeGwangtae ParkSangyeob KimSungpill ChoiSangjin Kim
- Topics
- Advanced Neural Network Applications (15 papers)CCD and CMOS Imaging Sensors (9 papers)Advanced Vision and Imaging (9 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignComputational Mathematics
- Journals
- SHILAP Revista de lepidopterologíaIEEE Journal of Solid-State CircuitsIEEE Transactions on Circuits and Systems I Regular Papers
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Dongseok Im
36 papers receiving 365 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 206
- Electrical and Electronic Engineering 150
- Artificial Intelligence 82
- Aerospace Engineering 44
- Hardware and Architecture 34
Countries citing papers authored by Dongseok Im
This map shows the geographic impact of Dongseok Im'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 Dongseok Im with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongseok Im more than expected).
Fields of papers citing papers by Dongseok Im
This network shows the impact of papers produced by Dongseok Im. 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 Dongseok Im. The network helps show where Dongseok Im may publish in the future.
Co-authorship network of co-authors of Dongseok Im
This figure shows the co-authorship network connecting the top 25 collaborators of Dongseok Im. A scholar is included among the top collaborators of Dongseok Im 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 Dongseok Im. Dongseok Im is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 13 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 11 | |
| 13 | 7 | |
| 14 | 24 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 59 | |
| 18 | 11 | |
| 19 | 14 | |
| 20 | 29 |
About Dongseok Im
Dongseok Im is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Instrumentation, having authored 37 papers that have together received 369 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (15 papers), CCD and CMOS Imaging Sensors (9 papers) and Advanced Vision and Imaging (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (206 citations), Computer Graphics and Computer-Aided Design (23 citations) and Computational Mathematics (3 citations). Dongseok Im has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Hoi‐Jun Yoo, Donghyeon Han, Sanghoon Kang, Juhyoung Lee, Gwangtae Park, Sangyeob Kim, Sungpill Choi, Sangjin Kim, Soyeon Kim and Zhiyong Li. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Journal of Solid-State Circuits and IEEE Transactions on Circuits and Systems I Regular Papers.
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.