Jürgen Biela

Electrical and Electronic Engineering · 2006–2019

A researcher in the Science corpus: 11 papers; trusts 12 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Jürgen Biela trusts overall

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

  1. William Gerard Hurley
  2. Charles R. Sullivan
  3. W. Shen
  4. Jieli Li
  5. Edison Roberto Cabral da Silva
  6. John A. Nelder
  7. J. W. Kolar
  8. Fei Wang
  9. Marian P. Kazmierkowski
  10. Dushan Boroyevich

Who trusts Jürgen Biela overall

  1. J. Muhlethaler
  2. J. W. Kolar
  3. Thomas Friedli
  4. Student Member Ieee Jonas M¨uhlethaler
  5. Frede Blaabjerg

Papers from Jürgen Biela's perspective

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

  1. Improved calculation of core loss with nonsinusoidal waveforms (Conference Record of the 2001 IEEE Industry Applications Conference. 36th IAS Annual Meeting (Cat. No.01CH37248))
  2. Accurate prediction of ferrite core loss with nonsinusoidal waveforms using only Steinmetz parameters (2002 IEEE Workshop on Computers in Power Electronics, 2002. Proceedings.)
  3. I and J
  4. Inductors and Transformers for Power Electronics
  5. Summary of losses in magnetic materials
  6. A practical, accurate and very general core loss model for nonsinusoidal waveforms (Twentieth Annual IEEE Applied Power Electronics Conference and Exposition, 2005. APEC 2005.)
  7. New core loss measurement method for high frequency magnetic materials (2010 IEEE Energy Conversion Congress and Exposition)
  8. Accurate Power Loss Model Derivation of a High-Current Dual Active Bridge Converter for an Automotive Application (IEEE transactions on industrial electronics (1982. Print))
  9. Optimizing the AC resistance of multilayer transformer windings with arbitrary current waveforms (30th Annual IEEE Power Electronics Specialists Conference. Record. (Cat. No.99CH36321))
  10. A Simplex Method for Function Minimization

Their papers