Gilman Tolle

Computer Networks and Communications · 2005–2010

A researcher in the Science corpus: 5 papers; trusts 12 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Gilman Tolle trusts overall

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

  1. David E. Culler
  2. P. Levis
  3. Alec Woo
  4. Joseph Polastre
  5. Jonathan Hui
  6. Alan M. Mainwaring
  7. Robert Szewczyk
  8. Jason L. Hill
  9. David E. Gay
  10. Terence Tong

Who trusts Gilman Tolle overall

  1. Prabal Dutta
  2. Luca Schenato
  3. Kannan Srinivasan
  4. Sukun Kim
  5. David E. Culler
  6. Anish Arora
  7. Jonathan Hui
  8. Shamim N. Pakzad
  9. Arsalan Tavakoli
  10. P. Levis

Papers from Gilman Tolle's perspective

Ordered by how strongly the researchers Gilman Tolle 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. Wireless sensor networks for habitat monitoring (ACM International Conference on Wireless Sensor Networks and Applications)
  3. System architecture directions for networked sensors (SIGP)
  4. Maté: a tiny virtual machine for sensor networks (ASPLOS X)
  5. Taming the underlying challenges of reliable multihop routing in sensor networks (ACM International Conference on Embedded Networked Sensor Systems)
  6. The nesC language: A holistic approach to networked embedded systems (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)
  7. The design of an acquisitional query processor for sensor networks (ACM SIGMOD Conference)
  8. Habitat monitoring: application driver for wireless communications technology (CCRV)
  9. Proceedings of the 5th Symposium on Operating Systems Design and Implementation Tag: a Tiny Aggregation Service for Ad-hoc Sensor Networks
  10. A macroscope in the redwoods (ACM International Conference on Embedded Networked Sensor Systems)

Their papers