Shaya Karimkashi
Aerospace Engineering · 2010
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Aerospace Engineering — 9 citations into it; #4,069 of 6,421 by trust here, #6,012 by citations
- Electrical and Electronic Engineering — 7 citations into it; #9,515 of 16,539 by trust here, #15,621 by citations
Whom Shaya Karimkashi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Shenheng Xu
- Yahya Rahmat-Samii
- Kai-fong Lee
- Kwai-Man Luk
- Jacob T. Robinson
- James Kennedy
- N. Jin
- M. Khodier
Who trusts Shaya Karimkashi overall
Papers from Shaya Karimkashi's perspective
Ordered by how strongly the researchers Shaya Karimkashi trusts endorse each paper. Same corpus, a different order for every researcher.
- Particle swarm optimization
- Particle swarm optimization in electromagnetics (IEEE Transactions on Antennas and Propagation)
- Linear array geometry synthesis with minimum sidelobe level and null control using particle swarm optimization (IEEE Transactions on Antennas and Propagation)
- Advances in Particle Swarm Optimization for Antenna Designs: Real-Number, Binary, Single-Objective and Multiobjective Implementations (IEEE Transactions on Antennas and Propagation)
- Boundary Conditions in Particle Swarm Optimization Revisited (IEEE Transactions on Antennas and Propagation)
- Experimental study of a microstrip patch antenna with an L-shaped probe
- A novel numerical optimization algorithm inspired from weed colonization (Ecological Informatics)
- Dual- and Multiband U-Slot Patch Antennas (IEEE Antennas and Wireless Propagation Letters)
- Optimized Element Spacing for Low Sidelobe Concentric Ring Arrays (IEEE Transactions on Antennas and Propagation)
- A hybrid boundary condition for robust particle swarm optimization (IEEE Antennas and Wireless Propagation Letters)
Their papers
- Invasive Weed Optimization and its Features in Electromagnetics (2010) — 376 citations