Patrick Th. Eugster

Computer Networks and Communications · 2001–2003

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Patrick Th. Eugster trusts overall

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

  1. Antonio Carzaniga
  2. Mehmet Altinel
  3. Sylvia Ratnasamy
  4. David S. Rosenblum
  5. Suman Banerjee
  6. Gianpaolo Cugola
  7. Shelley Zhuang
  8. Robbert van Renesse
  9. Miguel Oom Temudo de Castro
  10. Chee Yong Chan

Who trusts Patrick Th. Eugster overall

  1. L. Zhang
  2. Anne-Marie Kermarrec
  3. Miguel Oom Temudo de Castro
  4. Spyros Voulgaris
  5. Márk Jelasity
  6. Ayalvadi J. Ganesh
  7. Guido Urdaneta
  8. Celal Öztürk
  9. Karthik Kambatla
  10. Peter Druschel

Papers from Patrick Th. Eugster's perspective

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

  1. Application-Level Multicast Using Content-Addressable Networks (Networked Group Communication)
  2. Filtering algorithms and implementation for very fast publish/subscribe systems (ACM SIGMOD Conference)
  3. Internet indirection infrastructure (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
  4. Scribe: a large-scale and decentralized application-level multicast infrastructure (IEEE J. Sel. Areas Commun.)
  5. Efficient Filtering of XML Documents for Selective Dissemination of Information (Very Large Data Bases Conference)
  6. Java message service
  7. Design and evaluation of a wide-area event notification service (Foundations of Intrusion Tolerant Systems, 2003 [Organically Assured and Survivable Information Systems])
  8. Bayeux: an architecture for scalable and fault-tolerant wide-area data dissemination (International Workshop on Network and Operating System Support for Digital Audio and Video)
  9. Efficient filtering of XML documents with XPath expressions (Proceedings / International Conference on Data Engineering)
  10. A Gossip-Style Failure Detection Service

Their papers