K. Claffy

Computer Networks and Communications · 2000–2014

A researcher in the Science corpus: 13 papers; trusts 15 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 73 citations into it; #3,629 of 9,886 by trust here, #1,173 by citations
• Artificial Intelligence — 37 citations into it; #9,384 of 35,345 by trust here, #8,810 by citations
• Statistical and Nonlinear Physics — 21 citations into it; #9,920 of 10,127 by trust here, #3,616 by citations
• Hardware and Architecture — 15 citations into it
• Electrical and Electronic Engineering — 9 citations into it
• Molecular Biology — 7 citations into it; #17,097 of 17,773 by trust here, #11,818 by citations

Whom K. Claffy trusts overall

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

1. Andrew William Moore
2. Subhabrata Sen
3. Albert-László Barabási
4. Thuy T. T. Nguyen
5. Thomas Karagiannis
6. Sebastian Zander
7. Grenville J. Armitage
8. Konstantina (Dina) Papagiannaki
9. Lixin Gao
10. Laurent Bernaille

Who trusts K. Claffy overall

1. Niels Provos
2. Steven J. Murdoch
3. Arnaud Legout
4. Gregor Maier
5. C. Dovrolis
6. Suman Sekhar Jana
7. Kyong-Tak Cho
8. Kasper Bonne Rasmussen
9. Jason Franklin
10. Cliff Changchun Zou

Papers from K. Claffy's perspective

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

1. Toward the Accurate Identification of Network Applications (Passive and Active Network Measurement Conference)
2. Flow Clustering Using Machine Learning Techniques (Passive and Active Network Measurement Conference)
3. Class-of-service mapping for QoS: a statistical signature-based approach to IP traffic classification (ACM/SIGCOMM Internet Measurement Conference)
4. BLINC: multilevel traffic classification in the dark (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
5. Internet traffic classification using bayesian analysis techniques (Measurement and Modeling of Computer Systems)
6. Transport layer identification of P2P traffic (ACM/SIGCOMM Internet Measurement Conference)
7. A preliminary performance comparison of five machine learning algorithms for practical IP traffic flow classification (CCRV)
8. ACAS: automated construction of application signatures (Annual ACM Workshop on Mining Network Data)
9. Packet-level traffic measurements from the Sprint IP backbone (IEEE Network)
10. Evolution of Networks: From Biological Nets to the Internet and WWW

Their papers

• Bandwidth estimation: metrics, measurement techniques, and tools (2003) — 901 citations
• Navigability of Complex Networks (2007) — 455 citations
• Named data networking (2014) — 2,215 citations
• AS relationships, customer cones, and validation (2013) — 334 citations
• Issues and future directions in traffic classification (2012) — 639 citations
• Internet traffic classification demystified: myths, caveats, and the best practices (2008) — 587 citations
• AS relationships: inference and validation (2006) — 384 citations
• The internet AS-level topology: three data sources and one definitive metric (2005) — 387 citations
• Remote physical device fingerprinting (2005) — 850 citations
• Transport layer identification of P2P traffic (2004) — 822 citations
• Is P2P dying or just hiding? [P2P traffic measurement] (2004) — 544 citations
• Code-Red: a case study on the spread and victims of an internet worm (2002) — 968 citations
• Trends in wide area IP traffic patterns - A view from Ames Internet Exchange (2000) — 408 citations