Boulos Harb
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
Papers in
-
- Advanced Data Compression Techniques 4
- Image and Signal Denoising Methods 2
- Co-authors
- Sudipto Guha (4 shared papers)Petros Drineas (3 shared papers)Anirban Dasgupta (3 shared papers)Michael W. Mahoney (3 shared papers)Vanja Josifovski (1 shared paper)Ravi Kumar (2 shared papers)Cong Yu (3 shared papers)Sampath Kannan (4 shared papers)
- Journals
- SIAM Journal on Computing (1 paper)IEEE Transactions on Information Theory (1 paper)Journal of Computational Biology (1 paper)Proceedings of the VLDB Endowment (1 paper)Conference on Innovative Data Systems Research (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Boulos Harb
17 papers receiving 307 citations
Peers
Comparison fields: 5 of 40
- Computational Mathematics 8
- Signal Processing 105
- Artificial Intelligence 249
- Computer Vision and Pattern Recognition 92
- Information Systems 79
Countries citing papers authored by Boulos Harb
This map shows the geographic impact of Boulos Harb'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 Boulos Harb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boulos Harb more than expected).
Fields of papers citing papers by Boulos Harb
This network shows the impact of papers produced by Boulos Harb. 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 Boulos Harb. The network helps show where Boulos Harb may publish in the future.
Co-authors
The 25 scholars most cited alongside Boulos Harb, 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 | 2007 | 109 | |
| 2 | 2009 | 61 | |
| 3 | 2005 | 46 | |
| 4 | Applying WebTables in Practice | 2015 | 36 |
| 5 | 2008 | 22 | |
| 6 | Sampling algorithms and coresets for ep regression | 2008 | 13 |
| 7 | 2006 | 11 | |
| 8 | 2015 | 7 | |
| 9 | 2006 | 6 | |
| 10 | 2014 | 5 | |
| 11 | 2006 | 5 | |
| 12 | 2012 | 4 | |
| 13 | 2007 | 2 | |
| 14 | Language Modeling for Automatic Speech Recognition Meets the Web: Google Search by Voice | 2011 | 2 |
| 15 | The Unique Games Conjecture and Some of Its Implications on Inapproximability | 2005 | 2 |
| 16 | 2009 | 2 | |
| 17 | Algorithms for linear and nonlinear approximation of large data | 2007 | 2 |
About Boulos Harb
Boulos Harb is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Molecular Biology and Computational Mechanics, having authored 17 papers that have together received 335 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (4 papers), Sparse and Compressive Sensing Techniques (3 papers), Data Management and Algorithms (2 papers), Time Series Analysis and Forecasting (2 papers), Image and Signal Denoising Methods (2 papers), Complexity and Algorithms in Graphs (2 papers), Blind Source Separation Techniques (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Computational Mathematics (8 citations), Signal Processing (105 citations), Artificial Intelligence (249 citations), Computer Vision and Pattern Recognition (92 citations) and Information Systems (79 citations). Boulos Harb has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Sudipto Guha, Petros Drineas, Anirban Dasgupta, Michael W. Mahoney, Vanja Josifovski, Ravi Kumar, Cong Yu, Sampath Kannan, Warren Shen and Alon Halevy. Their work appears in journals such as SIAM Journal on Computing, IEEE Transactions on Information Theory, Journal of Computational Biology, Proceedings of the VLDB Endowment and Conference on Innovative Data Systems Research.
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.