Flip Korn

Computer Networks and Communications · 2000–2016

A researcher in the Science corpus: 5 papers; trusts 7 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 21 citations into it; #2,785 of 9,886 by trust here, #2,242 by citations
• Information Systems — 11 citations into it
• Artificial Intelligence — 10 citations into it
• Signal Processing — 9 citations into it; #1,068 of 7,572 by trust here, #2,001 by citations

Whom Flip Korn trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kamal Kumar Jain
2. Madhukar R. Korupolu
3. Vijay V. Vazirani
4. S. Muthu Muthukrishnan
5. Graham Cormode
6. Sudipto Guha
7. Gurmeet Singh Manku
8. Rajmohan Rajaraman
9. Anna C. Gilbert

Who trusts Flip Korn overall

1. Yufei Tao
2. Federico Pernici
3. Evangelos Dellis
4. Dimitris Papadias
5. Wen Jin
6. Rimantas Benetis
7. Graham Cormode
8. Gioele Ciaparrone
9. S. Muthu Muthukrishnan
10. Yunyue Zhu

Papers from Flip Korn's perspective

Ordered by how strongly the researchers Flip Korn trusts endorse each paper. Same corpus, a different order for every researcher.

1. Primal-dual approximation algorithms for metric facility location and k-median problems
2. Data-streams and histograms (Symposium on the Theory of Computing)
3. Finding frequent items in data streams
4. Analysis of a local search heuristic for facility location problems (ACM-SIAM Symposium on Discrete Algorithms)
5. Surfing Wavelets on Streams: One-Pass Summaries for Approximate Aggregate Queries (Very Large Data Bases Conference)
6. Space-efficient online computation of quantile summaries
7. Frequency Estimation of Internet Packet Streams with Limited Space (Embedded Systems and Applications)
8. Data streams: algorithms and applications (ACM-SIAM Symposium on Discrete Algorithms)
9. Bursty and Hierarchical Structure in Streams (Data mining and knowledge discovery)
10. Approximate Frequency Counts over Data Streams (Very Large Data Bases Conference)

Their papers

• Goods: Organizing Google's Datasets (2016) — 213 citations
• Managing Google's data lake: an overview of the Goods system (2016) — 67 citations
• Finding Hierarchical Heavy Hitters in Data Streams (2003) — 236 citations
• On computing correlated aggregates over continual data streams (2001) — 350 citations
• Influence sets based on reverse nearest neighbor queries (2000) — 592 citations