Ismail Güvenç

Electrical and Electronic Engineering · 2008–2018

A researcher in the Science corpus: 9 papers; trusts 44 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

Whom Ismail Güvenç trusts overall

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

  1. Xin Wang
  2. Senior Member Ieee Yiu-Tong Chan
  3. Ingrid Daubechies
  4. Sinan Gezici
  5. Behrouz Farhang-Boroujeny
  6. Fredrik K. Gustafsson
  7. Joon-Yong Lee
  8. Yihong Qi
  9. Yiu Tong Chan
  10. Ka Wai Cheung

Who trusts Ismail Güvenç overall

  1. Suining He
  2. Yong Zeng
  3. Junyang Shen
  4. J. A. del Peral-Rosado
  5. Abdelhak M. Zoubir
  6. Moe Z. Win
  7. C. Laoudias
  8. Stefano Maranò
  9. Saeed Hamood Alsamhi
  10. Mohammad Mozaffari

Papers from Ismail Güvenç's perspective

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

  1. What Will 5G Be?
  2. Analysis of wireless geolocation in a non-line-of-sight environment (IEEE Transactions on Wireless Communications)
  3. Ranging in a dense multipath environment using an UWB radio link (IEEE J. Sel. Areas Commun.)
  4. Millimeter Wave Mobile Communications for 5G Cellular: It Will Work!
  5. Exact and approximate maximum likelihood localization algorithms (IEEE Transactions on Vehicular Technology)
  6. A new approach to the geometry of TOA location (Vehicular Technology Conference Fall 2000. IEEE VTS Fall VTC2000. 52nd Vehicular Technology Conference (Cat. No.00CH37152))
  7. A TOA-based location algorithm reducing the errors due to non-line-of-sight (NLOS) propagation (IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211))
  8. The wavelet transform, time-frequency localization and signal analysis
  9. Least squares algorithms for time-of-arrival-based mobile location (IEEE Transactions on Signal Processing)
  10. Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks (IEEE Signal Processing Magazine)

Their papers