Bumsoo Kim
- Computer Networks and Communications
- Hardware and Architecture top 10%
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Hyojun KimChanik ParkEun‐Sol KimJonghwan MunMinchul ShinJunhyun LeeSung‐Hwan BaeSanho Byun
- Topics
- Parallel Computing and Optimization Techniques (3 papers)Embedded Systems Design Techniques (3 papers)Advanced Data Storage Technologies (2 papers)
- Cited by
- Hardware and ArchitectureComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Journals
- IEEE Computer Architecture Letters2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Proceedings of the AAAI Conference on Artificial Intelligence
- Partner nations
- South KoreaJapanGermany
In The Last Decade
Bumsoo Kim
7 papers receiving 110 citations
Peers
Comparison fields: 5 of 19
- Computer Networks and Communications 55
- Hardware and Architecture 47
- Computer Vision and Pattern Recognition 44
- Artificial Intelligence 19
- Electrical and Electronic Engineering 15
Countries citing papers authored by Bumsoo Kim
This map shows the geographic impact of Bumsoo 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 Bumsoo Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bumsoo Kim more than expected).
Fields of papers citing papers by Bumsoo Kim
This network shows the impact of papers produced by Bumsoo 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 Bumsoo Kim. The network helps show where Bumsoo Kim may publish in the future.
Co-authorship network of co-authors of Bumsoo Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Bumsoo Kim. A scholar is included among the top collaborators of Bumsoo 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 Bumsoo Kim. Bumsoo 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 | 1 | |
| 3 | 46 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 20 | |
| 8 | 37 |
About Bumsoo Kim
Bumsoo Kim is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Information Systems, having authored 8 papers that have together received 115 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (3 papers), Embedded Systems Design Techniques (3 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Hardware and Architecture (47 citations), Computer Networks and Communications (55 citations) and Computer Vision and Pattern Recognition (44 citations). Bumsoo Kim has collaborated with scholars based in South Korea, Japan and Germany. Frequent co-authors include Hyojun Kim, Chanik Park, Eun‐Sol Kim, Jonghwan Mun, Minchul Shin, Junhyun Lee, Sung‐Hwan Bae, Sanho Byun, Jin Bong Kim and Hwejin Jung. Their work appears in journals such as IEEE Computer Architecture Letters, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.