Khanh Do Ba
Impact in
- Signal Processing top 10%
- Data Management and Algorithms
Papers in
-
- Algorithms and Data Compression 2
- Data Stream Mining Techniques 2
- Stochastic Gradient Optimization Techniques 2
- Cryptography and Data Security 1
-
- Optimization and Search Problems 2
- Advanced Database Systems and Queries 1
- Co-authors
- Piotr Indyk (4 shared papers)David P. Woodruff (2 shared papers)Amit Chakrabarti (2 shared papers)S. Muthukrishnan (2 shared papers)Eric Price (1 shared paper)Alexandr Andoni (2 shared papers)Huy Nguyen (1 shared paper)Ronitt Rubinfeld (1 shared paper)
- Journals
- Theory of Computing Systems (1 paper)Internet Mathematics (1 paper)Lecture notes in computer science (2 papers)Symposium on Discrete Algorithms (1 paper)DSpace@MIT (Massachusetts Institute of Technology) (1 paper)
- Partner nations
- United States
In The Last Decade
Khanh Do Ba
8 papers receiving 177 citations
Peers
Comparison fields: 5 of 42
- Signal Processing 52
- Computer Graphics and Computer-Aided Design 12
- Computational Mechanics 59
- Artificial Intelligence 89
- Computational Theory and Mathematics 39
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 | 69 | |
| 2 | 2006 | 47 | |
| 3 | 2009 | 33 | |
| 4 | 2010 | 19 | |
| 5 | 2006 | 14 | |
| 6 | Block Heavy Hitters | 2008 | 2 |
| 7 | Wait-Free and Obstruction-Free Snapshot | 2006 | 2 |
| 8 | 2011 | 1 |
About Khanh Do Ba
Khanh Do Ba is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Computational Mechanics and Computer Graphics and Computer-Aided Design, having authored 8 papers that have together received 187 indexed citations. Recurring topics across this work include Algorithms and Data Compression (2 papers), Optimization and Search Problems (2 papers), Data Stream Mining Techniques (2 papers), Sparse and Compressive Sensing Techniques (2 papers), Computational Geometry and Mesh Generation (2 papers), Stochastic Gradient Optimization Techniques (2 papers), Cryptography and Data Security (1 paper) and Advanced Database Systems and Queries (1 paper). The work is most often cited by research in Signal Processing (52 citations), Computer Graphics and Computer-Aided Design (12 citations), Computational Mechanics (59 citations), Artificial Intelligence (89 citations) and Computational Theory and Mathematics (39 citations). Khanh Do Ba has collaborated with scholars based in United States. Frequent co-authors include Piotr Indyk, David P. Woodruff, Amit Chakrabarti, S. Muthukrishnan, Eric Price, Alexandr Andoni, Huy Nguyen, Ronitt Rubinfeld, Huy L. Nguyên and Prasad Jayanti. Their work appears in journals such as Theory of Computing Systems, Internet Mathematics, Lecture notes in computer science, Symposium on Discrete Algorithms and DSpace@MIT (Massachusetts Institute of Technology).
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.