Khoa Trinh
- Organizational Behavior and Human Resource Management
- Industrial and Manufacturing Engineering
- Computational Theory and Mathematics
- Computer Networks and Communications
- Computer Graphics and Computer-Aided Design
- Topics
- Optimization and Search Problems (2 papers)Computational Geometry and Mesh Generation (2 papers)Complexity and Algorithms in Graphs (2 papers)
- Cited by
- Organizational Behavior and Human Resource ManagementComputer Graphics and Computer-Aided DesignIndustrial and Manufacturing Engineering
- Partner nations
- United StatesPolandVietnam
In The Last Decade
Khoa Trinh
6 papers receiving 39 citations
Peers
Comparison fields: 5 of 25
- Organizational Behavior and Human Resource Management 24
- Industrial and Manufacturing Engineering 14
- Computational Theory and Mathematics 12
- Computer Networks and Communications 10
- Computer Graphics and Computer-Aided Design 7
Countries citing papers authored by Khoa Trinh
This map shows the geographic impact of Khoa Trinh'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 Khoa Trinh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khoa Trinh more than expected).
Fields of papers citing papers by Khoa Trinh
This network shows the impact of papers produced by Khoa Trinh. 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 Khoa Trinh. The network helps show where Khoa Trinh may publish in the future.
Co-authorship network of co-authors of Khoa Trinh
This figure shows the co-authorship network connecting the top 25 collaborators of Khoa Trinh. A scholar is included among the top collaborators of Khoa Trinh 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 Khoa Trinh. Khoa Trinh 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 | 2 | |
| 3 | 34 | |
| 4 | Dependent rounding for knapsack/partition constraints and facility location | 1 |
| 5 | Symmetric Randomized Dependent Rounding. | 1 |
| 6 | AN EMPIRICAL STUDY OF MULTIPASS DECODING FOR VIETNAMESE LVCSR | 2 |
About Khoa Trinh
Khoa Trinh is a scholar working on Computer Graphics and Computer-Aided Design, Signal Processing and Computational Theory and Mathematics, having authored 6 papers that have together received 41 indexed citations. Recurring topics across this work include Optimization and Search Problems (2 papers), Computational Geometry and Mesh Generation (2 papers) and Complexity and Algorithms in Graphs (2 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (24 citations), Computer Graphics and Computer-Aided Design (7 citations) and Industrial and Manufacturing Engineering (14 citations). Khoa Trinh has collaborated with scholars based in United States, Poland and Vietnam. Frequent co-authors include Aravind Srinivasan, Jarosław Byrka, Ha-Thanh Nguyen, Li Shi, Joachim Spoerhase and David G. Harris. Their work appears in journals such as Journal of Machine Learning Research, Algorithmica and ACM Transactions on Algorithms.
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.