Loc Hoang
Impact in
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- Graph Theory and Algorithms
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in
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- Graph Theory and Algorithms 12
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- Cloud Computing and Resource Management 7
- Web Data Mining and Analysis 1
- Co-authors
- Roshan Dathathri (12 shared papers)Gurbinder Gill (12 shared papers)Keshav Pingali (12 shared papers)Marc Snir (4 shared papers)Hoang-Vu Dang (4 shared papers)Nikoli Dryden (3 shared papers)Alex Brooks (3 shared papers)Xuhao Chen (2 shared papers)
- Journals
- ACM SIGPLAN Notices (1 paper)Proceedings of the VLDB Endowment (1 paper)ACM SIGOPS Operating Systems Review (1 paper)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Loc Hoang
12 papers receiving 220 citations
Peers
Comparison fields: 5 of 27
- Computer Vision and Pattern Recognition 186
- Hardware and Architecture 60
- Computer Networks and Communications 98
- Artificial Intelligence 105
- Information Systems 71
Countries citing papers authored by Loc Hoang
This map shows the geographic impact of Loc Hoang'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 Loc Hoang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Loc Hoang more than expected).
Fields of papers citing papers by Loc Hoang
This network shows the impact of papers produced by Loc Hoang. 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 Loc Hoang. The network helps show where Loc Hoang may publish in the future.
Co-authors
The 11 scholars most cited alongside Loc Hoang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 77 | |
| 2 | 2021 | 29 | |
| 3 | 2018 | 19 | |
| 4 | 2019 | 18 | |
| 5 | 2018 | 16 | |
| 6 | 2019 | 15 | |
| 7 | 2019 | 15 | |
| 8 | 2019 | 13 | |
| 9 | 2020 | 9 | |
| 10 | 2018 | 6 | |
| 11 | 2021 | 4 | |
| 12 | 2019 | 3 |
About Loc Hoang
Loc Hoang is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence, having authored 12 papers that have together received 224 indexed citations. Recurring topics across this work include Graph Theory and Algorithms (12 papers), Cloud Computing and Resource Management (7 papers), Advanced Graph Neural Networks (4 papers), Parallel Computing and Optimization Techniques (4 papers), Interconnection Networks and Systems (4 papers), Distributed systems and fault tolerance (2 papers), Web Data Mining and Analysis (1 paper) and Complex Network Analysis Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (186 citations), Hardware and Architecture (60 citations), Computer Networks and Communications (98 citations), Artificial Intelligence (105 citations) and Information Systems (71 citations). Loc Hoang has collaborated with scholars based in United States, India and China. Frequent co-authors include Roshan Dathathri, Gurbinder Gill, Keshav Pingali, Marc Snir, Hoang-Vu Dang, Nikoli Dryden, Alex Brooks, Xuhao Chen, V. Krishna Nandivada and Vijaya Ramachandran. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the VLDB Endowment and ACM SIGOPS Operating Systems Review.
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.