Julian Shun
- Computer Vision and Pattern Recognition top 1%
- Computer Networks and Communications top 1%
- Artificial Intelligence top 1%
- Hardware and Architecture top 1%
- Information Systems top 1%
- Co-authors
- Guy E. BlellochLaxman DhulipalaKanat TangwongsanPhillip B. GibbonsJeremy T. FinemanYunming ZhangShoaib KamilSaman Amarasinghe
- Topics
- Graph Theory and Algorithms (25 papers)Complexity and Algorithms in Graphs (18 papers)Parallel Computing and Optimization Techniques (15 papers)
- Cited by
- Hardware and ArchitectureComputer Vision and Pattern RecognitionComputer Networks and Communications
- Partner nations
- United StatesGermanyGreece
In The Last Decade
Julian Shun
61 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 1.1k
- Computer Networks and Communications 844
- Artificial Intelligence 837
- Hardware and Architecture 703
- Information Systems 465
Countries citing papers authored by Julian Shun
This map shows the geographic impact of Julian Shun'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 Julian Shun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julian Shun more than expected).
Fields of papers citing papers by Julian Shun
This network shows the impact of papers produced by Julian Shun. 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 Julian Shun. The network helps show where Julian Shun may publish in the future.
Co-authorship network of co-authors of Julian Shun
This figure shows the co-authorship network connecting the top 25 collaborators of Julian Shun. A scholar is included among the top collaborators of Julian Shun 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 Julian Shun. Julian Shun 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 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 8 | |
| 10 | 6 | |
| 11 | Semi-Asymmetric Parallel Graph Algorithms for NVRAMs | 1 |
| 12 | 2 | |
| 13 | 79 | |
| 14 | 10 | |
| 15 | 78 | |
| 16 | 14 | |
| 17 | 26 | |
| 18 | 4 | |
| 19 | 91 | |
| 20 | 131 |
About Julian Shun
Julian Shun is a scholar working on Hardware and Architecture, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 64 papers that have together received 1.8k indexed citations. Recurring topics across this work include Graph Theory and Algorithms (25 papers), Complexity and Algorithms in Graphs (18 papers) and Parallel Computing and Optimization Techniques (15 papers). The work is most often cited by research in Hardware and Architecture (703 citations), Computer Vision and Pattern Recognition (1.1k citations) and Computer Networks and Communications (844 citations). Julian Shun has collaborated with scholars based in United States, Germany and Greece. Frequent co-authors include Guy E. Blelloch, Laxman Dhulipala, Kanat Tangwongsan, Phillip B. Gibbons, Jeremy T. Fineman, Yunming Zhang, Shoaib Kamil, Saman Amarasinghe, Yan Gu and Aapo Kyrola. Their work appears in journals such as Journal of the ACM, Proceedings of the VLDB Endowment and ACM SIGMOD Record.
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.