Khanh Do Ba
Impact in
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- Data Management and Algorithms
- Blind Source Separation Techniques
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- Sparse and Compressive Sensing Techniques
Papers in
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- Algorithms and Data Compression 2
- Data Stream Mining Techniques 1
- Neural Networks and Applications 1
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- Optimization and Search Problems 2
- Distributed systems and fault tolerance 1
- Co-authors
- David P. Woodruff (2 shared papers)Piotr Indyk (3 shared papers)Eric Price (1 shared paper)Alexandr Andoni (2 shared papers)Huy L. Nguyên (1 shared paper)Ronitt Rubinfeld (1 shared paper)Huy Nguyen (1 shared paper)S. Muthukrishnan (1 shared paper)
- Journals
- Internet Mathematics (1 paper)Theory of Computing Systems (1 paper)DSpace@MIT (Massachusetts Institute of Technology) (1 paper)Symposium on Discrete Algorithms (1 paper)
- Partner nations
- United States
In The Last Decade
Khanh Do Ba
6 papers receiving 116 citations
Peers
Comparison fields: 5 of 40
- Signal Processing 30
- Computational Mechanics 50
- Computer Graphics and Computer-Aided Design 8
- Computational Mathematics 1
- Computational Theory and Mathematics 26
Countries citing papers authored by Khanh Do Ba
This map shows the geographic impact of Khanh Do Ba'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 Khanh Do Ba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khanh Do Ba more than expected).
Fields of papers citing papers by Khanh Do Ba
This network shows the impact of papers produced by Khanh Do Ba. 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 Khanh Do Ba. The network helps show where Khanh Do Ba may publish in the future.
Co-authors
The 10 scholars most cited alongside Khanh Do Ba, 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 | 2010 | 60 | |
| 2 | 2009 | 27 | |
| 3 | 2010 | 18 | |
| 4 | 2006 | 12 | |
| 5 | Wait-Free and Obstruction-Free Snapshot | 2006 | 2 |
| 6 | Block Heavy Hitters | 2008 | 1 |
About Khanh Do Ba
Khanh Do Ba is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Signal Processing, having authored 6 papers that have together received 120 indexed citations. Recurring topics across this work include Optimization and Search Problems (2 papers), Algorithms and Data Compression (2 papers), Computational Geometry and Mesh Generation (2 papers), Data Stream Mining Techniques (1 paper), Data Management and Algorithms (1 paper), Distributed systems and fault tolerance (1 paper), Neural Networks and Applications (1 paper) and Advanced Bandit Algorithms Research (1 paper). The work is most often cited by research in Signal Processing (30 citations), Computational Mechanics (50 citations), Computer Graphics and Computer-Aided Design (8 citations), Computational Mathematics (1 citation) and Computational Theory and Mathematics (26 citations). Khanh Do Ba has collaborated with scholars based in United States. Frequent co-authors include David P. Woodruff, Piotr Indyk, Eric Price, Alexandr Andoni, Huy L. Nguyên, Ronitt Rubinfeld, Huy Nguyen, S. Muthukrishnan, Amit Chakrabarti and Prasad Jayanti. Their work appears in journals such as Internet Mathematics, Theory of Computing Systems, DSpace@MIT (Massachusetts Institute of Technology) and Symposium on Discrete 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.