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Blas Galván
ResearcherPublications, citations & collaboration network
Blas Galván is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 63 works, 685 citations, an h-index of 14 and an i10-index of 18.
63
Works
685
Citations
14
h-index
18
i10-index
IDs:OpenAlex
How has Blas Galván's publication output changed over time?
ScholarIQpublication output · 2003–2018
Output grew0% over the shown period — from 1 works in 2003 to 1 in 2018.
1
1
2
1
1
2
1
1
1
200320052006200720122014201620172018
What are the most-cited papers on Blas Galván?
ScholarIQmost cited works
Optimization of constrained multiple-objective reliability problems using evolutionary algorithms
Daniel E. Salazar, Claudio M. Rocco, Blas Galván
Reliability Engineering & System Safety. 2006147 Citations
Game Theory Based Evolutionary Algorithms: A Review with Nash Applications in Structural Engineering Optimization Problems
David Greiner, Jacques Périaux, José M. Emperador, Blas Galván, G. Winter
S65486112. 201680 Citations
Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences
David Greiner, Blas Galván, Jacques Périaux, Nicolas R. Gauger, Kyriakos C. Giannakoglou, G. Winter
S4210177356. 201450 CitationsOPEN ACCESS
Application of Dempster–Shafer theory for the quantification and propagation of the uncertainty caused by the use of AIS data
Alejandro Talavera, Ricardo Aguasca-Colomo, Blas Galván, Andrés Cacereño
Reliability Engineering & System Safety. 201249 Citations
Use of multiple objective evolutionary algorithms in optimizing surveillance requirements
S. Martorell, S. Carlos, J.F. Villanueva, A.I. Sánchez, Blas Galván, Daniel E. Salazar, Marko Čepin
Reliability Engineering & System Safety. 200641 Citations
Related on ScholarIQ
Optimization of constrained multiple-objective reliability problems using evolutionary algorithms
Paper
Game Theory Based Evolutionary Algorithms: A Review with Nash Applications in Structural Engineering Optimization Problems
Paper
Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences
Paper
Application of Dempster–Shafer theory for the quantification and propagation of the uncertainty caused by the use of AIS data
Paper
Use of multiple objective evolutionary algorithms in optimizing surveillance requirements
Paper
Evolutionary Algorithms and Metaheuristics: Applications in Engineering Design and Optimization
Paper