Jeongyeup Paek

Computer Networks and Communications · 2005–2010

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jeongyeup Paek trusts overall

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

  1. Anthony J. Nicholson
  2. Mikkel Baun Kjærgaard
  3. Yu Zheng
  4. Alec Woo
  5. Ning Xu
  6. Saurabh Ganeriwal
  7. Brian D. Noble
  8. David E. Culler
  9. Quannan Li
  10. Sumit Rangwala

Who trusts Jeongyeup Paek overall

  1. Donnie H. Kim
  2. Dimitris Chatzopoulos
  3. Ali Yassin
  4. Mohammed Abdulkarem
  5. Omprakash Gnawali
  6. Younghun Kim
  7. Carlos Bermejo

Papers from Jeongyeup Paek's perspective

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

  1. System architecture directions for networked sensors (SIGP)
  2. Proceedings of the 5th Symposium on Operating Systems Design and Implementation Tag: a Tiny Aggregation Service for Ad-hoc Sensor Networks
  3. Taming the underlying challenges of reliable multihop routing in sensor networks (ACM International Conference on Embedded Networked Sensor Systems)
  4. Timing-sync protocol for sensor networks (ACM International Conference on Embedded Networked Sensor Systems)
  5. Maté: a tiny virtual machine for sensor networks (ASPLOS X)
  6. Nericell: rich monitoring of road and traffic conditions using mobile smartphones (ACM International Conference on Embedded Networked Sensor Systems)
  7. The nesC language: A holistic approach to networked embedded systems (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)
  8. Micro-Blog: sharing and querying content through mobile phones and social participation (ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services)
  9. The flooding time synchronization protocol (ACM International Conference on Embedded Networked Sensor Systems)
  10. Mobility Detection Using Everyday GSM Traces (Ubiquitous Computing)

Their papers