Naeem Farokhnia

Electrical and Electronic Engineering · 2009–2012

A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Naeem Farokhnia trusts overall

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

  1. Leon M. Tolbert
  2. José Raúl Rodríguez Rodríguez
  3. Vassilios G. Agelidis
  4. Mohamed S. A. Dahidah

Who trusts Naeem Farokhnia overall

  1. Kehu Yang
  2. A. Kavousi

Papers from Naeem Farokhnia's perspective

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

  1. Elimination of harmonics in a multilevel converter with nonequal DC sources (Eighteenth Annual IEEE Applied Power Electronics Conference and Exposition, 2003. APEC '03.)
  2. Charge balance control schemes for cascade multilevel converter in hybrid electric vehicles (IEEE transactions on industrial electronics (1982. Print))
  3. Selective Harmonic Elimination PWM Control for Cascaded Multilevel Voltage Source Converters: A Generalized Formula (IEEE transactions on power electronics)
  4. Harmonic Minimization in Multilevel Inverters Using Modified Species-Based Particle Swarm Optimization (IEEE transactions on power electronics)
  5. Power-Electronic Systems for the Grid Integration of Renewable Energy Sources: A Survey (IEEE transactions on industrial electronics (1982. Print))
  6. Elimination of Harmonics in a Multi-Level Inverter with Unequal DC Sources Using the Homotopy Algorithm (2007 IEEE International Symposium on Industrial Electronics)
  7. A Survey on Cascaded Multilevel Inverters (IEEE transactions on industrial electronics (1982. Print))
  8. Elimination of harmonics in a multilevel converter with nonequal DC sources (IEEE transactions on industry applications)
  9. Selective Harmonic Elimination Techniques for Multilevel Cascaded H-Bridge Inverters (2005 International Conference on Power Electronics and Drives Systems)
  10. A new optimizer using particle swarm theory

Their papers