Ahmed Metwally
Computer Networks and Communications · 2005
A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 16 citations into it; #4,762 of 9,886 by trust here, #6,788 by citations
- Signal Processing — 13 citations into it; #3,951 of 7,572 by trust here, #5,340 by citations
- Artificial Intelligence — 12 citations into it; #19,171 of 35,345 by trust here, #26,682 by citations
Whom Ahmed Metwally trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Graham Cormode
- Gurmeet Singh Manku
- Cristian Estan
- Moses Charikar
- S. Muthu Muthukrishnan
- Erik D. Demaine
- Richard M. Karp
- Rajeev Motwani
- Brian Babcock
- George Varghese
Who trusts Ahmed Metwally overall
- Nuno Filipe Castro
- Peter Bailis
- Jiawei Han
- Vibhaalakshmi Sivaraman
- Ran Ben Basat
- D. Narayanan
- Tong Yang
- Samuel Madden
- S. Muthu Muthukrishnan
- Hong Cheng
Papers from Ahmed Metwally's perspective
Ordered by how strongly the researchers Ahmed Metwally trusts endorse each paper. Same corpus, a different order for every researcher.
- Data-streams and histograms (Symposium on the Theory of Computing)
- Finding frequent items in data streams
- Space-efficient online computation of quantile summaries
- Maintaining Stream Statistics over Sliding Windows (SIAM journal on computing (Print))
- Surfing Wavelets on Streams: One-Pass Summaries for Approximate Aggregate Queries (Very Large Data Bases Conference)
- Space/time trade-offs in hash coding with allowable errors
- Approximate Frequency Counts over Data Streams (Very Large Data Bases Conference)
- On computing correlated aggregates over continual data streams (ACM SIGMOD Conference)
- Frequency Estimation of Internet Packet Streams with Limited Space (Embedded Systems and Applications)
- What's hot and what's not: tracking most frequent items dynamically (ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems)
Their papers
- Efficient Computation of Frequent and Top-k Elements in Data Streams (2005) — 823 citations