Brad Karp

Computer Networks and Communications · 2000–2006

A researcher in the Science corpus: 8 papers; trusts 23 researchers and is trusted by 140 researchers here, as inferred from the citation graph.

Subfields

Whom Brad Karp trusts overall

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

  1. Antony Ian Taylor Rowstron
  2. Deborah Estrin
  3. John S. Heidemann
  4. Chalermek Intanagonwiwat
  5. Sylvia Ratnasamy
  6. Lewis Girod
  7. Nick Littlestone
  8. Jinyang Li
  9. James Newsome
  10. Ramesh Govindan

Who trusts Brad Karp overall

  1. Fabian Kuhn
  2. Robert D. Kleinberg
  3. Paolo Santi
  4. Limin Wang
  5. James Newsome
  6. Jie Gao
  7. Haowen Chan
  8. Mo Li
  9. Xiangyang Li
  10. Abdalkarim Awad

Papers from Brad Karp's perspective

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

  1. Directed diffusion: a scalable and robust communication paradigm for sensor networks (ACM/IEEE International Conference on Mobile Computing and Networking)
  2. A scalable location service for geographic ad hoc routing (ACM/IEEE International Conference on Mobile Computing and Networking)
  3. System architecture directions for networked sensors (SIGP)
  4. Chord: A scalable peer-to-peer lookup service for internet applications (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
  5. Pastry: Scalable, distributed object location and routing for large-scale peer-to-
  6. Robust range estimation using acoustic and multimodal sensing (Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180))
  7. Adaptive protocols for information dissemination in wireless sensor networks
  8. GPS-less low-cost outdoor localization for very small devices (IEEE wireless communications)
  9. Geographic routing without location information (ACM/IEEE International Conference on Mobile Computing and Networking)
  10. Dynamic fine-grained localization in Ad-Hoc networks of sensors (ACM/IEEE International Conference on Mobile Computing and Networking)

Their papers