Wolfgang Kiess

Computer Networks and Communications · 2007–2014

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wolfgang Kiess trusts overall

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

  1. Richard Draves
  2. Douglas S. J. De Couto
  3. Daniel Aguayo
  4. John C. Bicket
  5. Jerry Zhao
  6. Elizabeth M. Belding-Royer
  7. Henrik Lundgren
  8. J. Padhye
  9. P. Levis
  10. Ram Ramanathan

Who trusts Wolfgang Kiess overall

  1. Michal Piórkowski
  2. Maxim Raya

Papers from Wolfgang Kiess's perspective

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

  1. Understanding packet delivery performance in dense wireless sensor networks (ACM International Conference on Embedded Networked Sensor Systems)
  2. Complex Behavior at Scale: An Experimental Study of Low-Power Wireless Sensor Networks
  3. Comparison of routing metrics for static multi-hop wireless networks (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
  4. Coping with communication gray zones in IEEE 802.11b based ad hoc networks (IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks)
  5. a high-throughput path metric for multi-hop wireless routing (ACM/IEEE International Conference on Mobile Computing and Networking)
  6. Performance of multihop wireless networks: shortest path is not enough (CCRV)
  7. Link-level measurements from an 802.11b mesh network (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
  8. Experimental evaluation of wireless simulation assumptions (International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems)
  9. Capacity of Ad Hoc wireless networks (ACM/IEEE International Conference on Mobile Computing and Networking)
  10. Directed diffusion: a scalable and robust communication paradigm for sensor networks (ACM/IEEE International Conference on Mobile Computing and Networking)

Their papers