International journals

JCR  = Q1:27 Q2: 20 Q3: 10 Q4:1 

SCOPUS = Q2: 1

2024 (JCR 2021) Q1 = 2

1. M. Castilla, J.L. Redondo, A. Martínez and J.D. Álvarez. Artificial Neural Network-based digital twin for a flat plate solar collector field .  Engineering Applications of Artificial Intelligence. JCR (2022): 8 .Subject categories =AUTOMATION & CONTROL SYSTEMS: 7/65 (Q1-D1); COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE: 25/145 (Q1).

2. R. Mena-Yedra, J.L. Redondo, H. Pérez-Sánchez,  P.M. Ortigosa. ALMERIA: Boosting Pairwise Molecular Contrasts with Scalable Methods. Informatica. 2024. Available online:https://doi.org/10.15388/24-INFOR558. JCR (2022) = 2.9. Subject categories = Mathematics, Applied: 29/267 (Q1).

2023 (JCR 2021) Q1 = 3 Q2 =1

3. J.S. García, S.P. Martín, J.L. Redondo, J.J. Moreno, P.M. Ortigosa. Improving drug discovery through parallelism. Journal of Supercomputing, Available online: https://rdcu.be/c3zyv , 2023. JCR (2021) = 2.557. Subject categories: Computer Science, Theory & Methods: 43/110 (Q2).

4. M. R. Ferrández, B. Ivorra,  J. L. Redondo, A. M. Ramos, P. M. Ortigosa. A multi-objective approach to identify parameters of compartmental epidemiological models. Application to Ebola Virus Disease epidemics. Communications in Nonlinear Science and Numerical Simulation. In press. JCR(2021) =4.186.  Subject categories = Mathematics, Applied 9/267 (Q1), Matematics, interdisciplinary applications 14/108 (Q1), Physics, Mathematical 4/46 (Q1). 

5. L.O. Polanco-Vásquez, J.L. Redondo, J.D. Álvarez, V.M. Ramírez and J.L. Torres. Balancing CO2 emissions and economic cost in a microgrid through an energy management system using MPC and multi-objective optimization. Applied Energy, 2023 (In press). JCR (2021) =11.446.  Subject categories = Energy & Fuels  15/119 (Q1-D1), Engineering, chemical  9/143 (Q1-D1).

6. N.C. Cruz, S. Puertas-Martín, J.L. Redondo, P.M. Ortigosa. An Effective Solution for Drug Discovery Based on the Tangram Meta-Heuristic and Compound Filtering. Informatica. 2023. Available online: https://doi.org/10.15388/23-INFOR535. JCR (2022) = 2.9. Subject categories = Mathematics, Applied: 29/267 (Q1).

2022 (JCR 2021) Q1 = 2 Q2 =3

7. N.C. Cruz, A. González-Redondo, J.L. Redondo, J.A. Garrido, E.M. Ortigosa y P.M. Ortigosa. Black-box and surrogate optimization for tuning spiking neural models of striatum plasticity. Frontiers in Neuroinformatics, 16:1017222, 1-17, 2022. JCR(2021)=3.739. Subject categories =Mathematical & Computational biology 16/57 (Q2), Neurosciences 143/275 (Q3)

8. N.C. Cruz, R. Monterreal, J.L. Redondo, J. Fernández-Reche, R. Enrique y P.M. Ortigosa. Optical characterization of heliostat facets based on Computational Optimization. Solar Energy, 248, 1-15, 2022. JCR(2021)=7.188.  Subject categories = Energy & Fuels 37/119 (Q2). Subject categories = Multidisciplinary Sciences 19/74 (Q2).

9. M. R. Ferrández, S. Puertas-Martín, J. L. Redondo, H. Pérez-Sánchez, and P. M. Ortigosa. A two-layer mono-objective algorithm based on guided optimization to reduce the computational cost in virtual screening. Scientific Reports, volume 12, 12769 (2022). JCR (2021) = 4,996. Subject categories: Multidisciplinary Sciences: 19/76 (Q2).

10. J.L. Torres-Moreno,N.C. Cruz, J.D. Álvarez, J.L. Redondo and A. Ginménz-Fernández. An open-source tool for path synthesis of four-bar mechanisms. Mechanism and Machine Theory. Vol. 169, n.3, pp. 477-498. 2022. JCR(2021)= 4.930. Subject categories =Engineering, Mechanical 18/134 (Q1).

11. S. Puertas-Martín; J.L. Redondo; M.R. Ferrández; H. Pérez-Sánchez; P.M. Ortigosa. MultiPharm-DT: A multi-objective decision tool for ligand-based virtual screening problems.  Informatica. Vol. 33, n.1, pp. 55-88. 2021. JCR (2021)= 3.429. Subject categories =Mathematics, Applied 23/267 (Q1), Computer Science, information systems: 80/164 (Q2).

2021 Q1 = 1 Q3 = 1

12. N.C. Cruz, M. Marín, J.L. Redondo, E.M. Ortigosa and P.M. Ortigosa. A Comparative Study of Stochastic Optimizers for Fitting Neuron Models. Application to the Cerebellar Granule Cell. Informatica. Vol. 21, n.3, pp. 477-498. 2021. JCR= 3.429. Subject categories =Mathematics, Applied 23/267 (Q1), Computer Science, information systems: 80/164 (Q2)

13. L.O. Polanco-Vásquez; V.M. Ramírez; D. L. Córdova; J.L. Redondo; J.D. Álvarez; J. L. Torres-Moreno. Optimal Management of a Microgrid with Radiation and Wind-Speed Forecasting: A Case Study Applied to a Bioclimatic Building. Energies. Vol. 14, n. 9, pp. 2398. JCR: 3.252.  Subject categories =  Energy & Fuels: 80/119 (Q3).

JCR 2020.   Q1= 1, Q2 =2, Q3= 2 

1. S. Puertas-Martín; A.J. Banegas-Luna; M. Paredes-Ramos;  J.L. Redondo;  P.M. Ortigosa; Ol’ha O. Brovarets';  H. Pérez-Sánchez. Is high performance computing a requirement for novel drug discovery and how will this impact academic efforts? Expert opinion on drug discovery. Vol. 15,n. 9., pp 981-986, 2020. JCR  = 6.098. Subject categories = Pharmacology and pharmacy: 32/276 (Q1).

2. S. Puertas-Martín; J.L. Redondo; H. Pérez-Sánchez; P.M. Ortigosa. Optimizing electrostatic similarity for virtual screening: A new methodology.  Informatica-Lithuan. Vol 31, n. 4, pp. 821 - 839, 2020.  JCR  = 2.688. Subject categories = Mathematics, Applied : 35/265 (Q1), Computer Science, information systems: 85/161 (Q2).

3. N.C. Cruz, J.D. Álvarez, J.L. Redondo, M. Berenguel, R. Klempous and P.M. Ortigosa. A Simple and Effective Heuristic Control System for the Heliostat Field of Solar Power Tower Plants. Acta Polytechnica Hungarica. Vol. 17, n.4, pp. 7-26, 2020. JCR= 1.806. Subject categories = Engineering, multidisciplinary: 55/90 (Q3).

4. E. Filatovas; O. Kurasova; J.L. Redondo; J. Fernández. A reference point-based evolutionary algorithm for approximating regions of interest in multiobjective problems. TOP. Vol. 28, pp. 402-423, 2020. JCR =2.167. Subject categories = Operations Research and Management Science: 51/84 (Q3).

5. M. R. Ferrández, J. L. Redondo, B. Ivorra, A. M. Ramos, P. M. Ortigosa and B. Paechter.  Improving the performance of a preference-based multi-objective algorithm to optimize food treatment processes. Engineering Optimization. Vol. 52, n. 5, pp. 896 - 913, 2020. JCR = 3.230. Subject categories = Engineering, Multidisciplinary:  26/90 (Q2). Subject categories = Operations Research and Management Science: 30/84 (Q2).

JCR 2019.   Q1: 2, Q2: 3

1. J. Fernández, B. Toth, J.L.Redondo and P.M. Ortigosa. The probabilistic customer's choice rule with a threshold attraction value: effect on the location of competitive facilities. Computers & Operations Research, ISSN: 0305-0548, 2019. DOI: 10.1016/j.cor.2018.08.001. JCR = 3,424. Subject categories = Engineering, Industrial: 14/48 (Q2); Operations Research & Management Science: 21/83 (Q2); Computer Science, Interdisciplinary: 34/109 (Q2)

2. N.C. Cruz, S. Salhi, J.L. Redondo, J.D. Álvarez, M. Berenguel and P.M. Ortigosa. Design of a parallel genetic algorithm for continuous and pattern-free heliostat field optimization. Journal of Supercomputing. 75, pp. 1268–1283, ISSN: 0920-8542, 2019. DOI: 10.1007/s11227-018-2404-8.  JCR  = 2,469. Subject categories = Computer Science, Theory & Methods: 33/110 (Q2); Computer science, Hardware & Architecture: 24/53 (Q3); Engineering, Electrical & Electronics: 139/266 (Q3).

3. S. Puertas-Martín; J.L. Redondo; H. Pérez-Sánchez; P.M. Ortigosa. OptiPharm: An evolutionary algorithm to compare shape similarity. Scientific Reports. 9 - 1398,  2019. DOI: 10.1038/s41598-018-37908-6. JCR=3,988. Subject categories = Multidisciplinary Sciences: 17/71 (Q1)

4. M.R. Ferrández,  J.L. Redondo,  B. Ivorra, A.M. Ramos and P.M. Ortigosa. Preference-based multi-objectivization applied to decision support for High-Pressure Thermal processes in food treatment. Applied Soft Computing. 79, pp. 326 - 340, 2019. DOI: 10.1016/j.asoc.2019.03.050. JCR = 5,472. Subject categories = Computer Science, Interdisciplinary Applications: 24/139 (Q1).

5. M.R. Ferrández, S. Puertas-Martín, J.L. Redondo, B. Ivorra, A.M. Ramos and P.M. Ortigosa. High performance computing for the optimization of high-pressure thermal treatments in food industry. The Journal of Supercomputing, 75, pp. 1187–1202, 2019. DOI: 10.1007/s11227-018-2351-4.  JCR  = 2,469. Subject categories = Computer Science, Theory & Methods: 33/110 (Q2); Computer science, Hardware & Architecture: 24/53 (Q3); Engineering, Electrical & Electronics: 139/266 (Q3).

JCR 2018 .   Q1:4, Q3:1, Q2(scopus): 1

1. N.C. Cruz, S. Salhi, J.L. Redondo, J.D. Álvarez, M. Berenguel and P.M. Ortigosa. Hector, a new methodology for continuous and pattern-free heliostat field optimization. Applied Energy, Vol. 225, pp. 1123-1131, ISSN: 1996-1073, 2018. DOI: 10.1016/j.apenergy.2018.05.072.  JCR = 8.426. Subject categories = Engineering, Chemical: 5/138 (Q1).

2. N.C. Cruz, J.D. Álvarez, J.L. Redondo, M. Berenguel and P.M. Ortigosa. A two-layered solution for automatic heliostat aiming. Engineering Applications of Artificial Intelligence, Vol. 72, pp. 253-266, 2018. DOI: 10.1016/j.engappai.2018.04.014.  JCR = 2.859.Subject categories = Computer science, Artificial Intelligence : 32/132 (Q1).

3. N.C. Cruz, J.L. Redondo, J.D. Álvarez, M. Berenguel and P.M. Ortigosa. Optimizing the Heliostat Field Layout by Applying Stochastic Population-Based Algorithms. Informatica, Vol. 29, n. 1, pp. 21-39, 2018. DOI: 10.15388/Informatica.2018.156.  JCR  = 1.928. Subject categories = Mathematics, Applied : 43/254 (Q1).

4. N.C. Cruz, R. Ferri-García, J.D. Álvarez, J.L. Redondo, J. Fernández-Reche, M. Berenguel, R. Monterreal and P.M. Ortigosa. On building-up a yearly characterization of a heliostat field: A new methodology and an application example. Solar Energy,  2018. DOI: 10.1016/j.solener.2018.08.007.  JCR  = 4.674. Subject categories = Energy & Fuels: 24/103 (Q1).

5. B. Ivorra; M.R. Ferrández; M. Crespo; J.L. Redondo; P.M. Ortigosa; J.G. Santiago; A.M. Ramos. Modeling and optimization applied to the design of fast hydrodynamic focusing microfluidic mixer for protein folding. Journal of Mathematics in Industry. 8 - 4,  SpringerOpen, 2018. DOI: 10.1186/s13362-018-0046-3. SJR: 1.03. Subject categories = Applied Mathematics: 184/418 (Q2).

6. J.D. Álvarez; L.O. Polanco-Vasquez; C.A. Carreño-Meneses; A.P. Pizano-Martínez; J.L. Redondo; M. Pérez-García. Optimal Energy Management within a Microgrid: A Comparative Study. Energies , Vol. 11, n. 2167, pp. 1-22,  2018. DOI: 10.3390/en11082167. JCR = 2.707. Subject categories = Energy & Fuel: 56/103 (Q3).

JCR 2017 .   Q1:2, Q2:3, Q3:1

1. N.C. Cruz, J.L. Redondo, J.D. Álvarez, M. Berenguel, and P.M. Ortigosa. Review of software for optical analyzing and optimizing heliostat fields. Renewable & Sustainable Energy Reviews, Vol. 72, pp. 1001-1018,  2017. DOI: 10.1016/j.rser.2017.01.032. Indicios de calidad: JCR = 9.184. Subject categories =  Energy & Fuels: 7/97 (Q1) Green & Sustainable Science: 1/31 (Q1).

2. N.C. Cruz, J.D. Álvarez, J.L. Redondo, J. Fernandez-Reche, M. Berenguel, R. Monterreal and P.M. Ortigosa. A new methodology for building-up a robust model for heliostat field flux characterization. Energies, Vol. 10, n. 5, pp. 730-747, ISSN: 1996-1073, 2017. DOI: doi:10.3390/en10050730. Indicios de calidad: JCR = 2.676. Subject categories = Energy & Fuels: 48/97 (Q2).

3. J.L.Redondo, J. Fernández and P.M. Ortigosa. FEMOEA: a Fast and Efficient Multi-Objective Evolutionary Algorithm. Mathematical Methods of Operations Research, n. 85, pp. 113-135, ISSN:1432-2994, 2017. DOI: 10.1007/s00186-016-0560-2.  JCR = 0.843. Subject categories =  Mathematics, Applied: 158/252 (Q3).

4. J. Fernández, B. Toth, J.L.Redondo, P.M. Ortigosa and A.G. Arrondo. A planar single facility competitive location and design problem under the multideterministic choice rule. Computers & Operations Research, n. 78, pp. 305-315, ISSN: 0305-0548, 2017. Indicios de calidad: JCR = 2.962. Subject categories = Engineering, Industrial: 9/44 (Q1); Operations Research & Management Science: 15/83 (Q1); Computer science, interdisciplinary applications: 28/105 (Q2).

5. N.C. Cruz, J.L. Redondo, J.D. Álvarez, M. Berenguel, A. Becerra-Terón and P.M. Ortigosa. High performance computing for the heliostat field layout evaluation. The Journal of Supercomputing, Vol. 73, n. 1, pp. 259-276, ISSN: 0920-8542, 2017. DOI: 10.1007/s11227-016-1698-7.  JCR = 1.532. Subject categories = Computer Science, Theory & Methods: 44/103 (Q2); Computer science, Hardware & Architecture: 25/52 (Q2); Engineering, Electrical & Electronics: 161/262 (Q3).

6. N.C. Cruz, J.L. Redondo, J.D. Álvarez, M. Berenguel, and P.M. Ortigosa. A parallel Teaching-Learning-Based Optimization procedure for automatic heliostat aiming. The Journal of Supercomputing, Vol. 73, n. 1, pp. 591-606, 2017. DOI: 10.1007/s11227-016-1914-5.  JCR = 1.532. Subject categories =  Computer Science, Theory & Methods: 44/103 (Q2); Computer science, Hardware & Architecture: 25/52 (Q2); Engineering, Electrical & Electronics: 153/260 (Q3).

JCR 2016 .   Q2:2

1. P.M. Ortigosa, J.L.Redondo and A. Marín. A parallelized Lagrangean relaxation approach for the Discrete Ordered Median Problem. Annals of Operations Research, Vol. 246, n. 1, pp. 253-272, ISSN: 0254-5330, 2016. DOI: 10.1007/s10479-014-1744-x. JCR= 1.709. Subject categories =  Operations Research & Management Science: 33/83 (Q2).

2. B. Ivorra; J.L. Redondo; A.M. Ramos; J.G. Santiago. Design sensitivity and mixing uniformity of a microfluidic mixer. Physics of fluids. Vol. 28, n. 012005, pp. 1 - 17, 2016. DOI: 10.1063/1.4939006. JCR = 2.23. Subject categories = Mechanics: 37/137 (Q2).

JCR 2015 .  Q1:3, Q3:1

1. P.M. Ortigosa, E.M.T. Hendrix and J.L. Redondo. On heuristic bi-criterion methods for semiobnoxious facility location. Computational Optimization and Applications, n. 61, pp. 205-217, ISSN: 0926-6003, 2015. DOI: 10.1007/s10589-014-9709-1. Indicios de calidad: JCR= 1.444. Subject categories =  Mathematics, applied: 41/254 (Q1) Operations Research & Management Science: 31/82 (Q2).

2. J. Fernández, J.L.Redondo, A.G. Arrondo and P.M. Ortigosa. A triobjective Model for Locating a Public Semiobnoxious Facility in the Plane. Mathematical Problems in Engineering, pp. 12 pages, ISSN: 1563-5147, 2015. DOI: 10.1155/2015/631872. JCR= 0.644. Subject categories = Mathematics, interdisciplinary applications 81/101 (Q4); Engineering, Multidisciplinary 59/85 (Q3).

3.  J.L.Redondo, J. Fernández, J.D. Álvarez, A.G. Arrondo and P.M. Ortigosa. Approximating the Pareto-front of a planar bi-objective competitive facility location and design problem. Computers & Operations Research, n. 62, pp. 337-349, ISSN: 0305-0548, 2015. DOI: 10.1016/j.cor.2014.02.013. JCR= 1.988. Subject categories = Engineering, Industrial: 11/44 (Q1); Operations Research & Management Science: 19/82(Q1) ; Computer science, interdisciplinary applications: 32/104 (Q2).

4. A.G. Arrondo, J.L.Redondo, J. Fernández and P.M. Ortigosa. Parallelization of a non-linear multiobjective optimization algorithm: application to a location problem. Applied Mathematics and Computation, n. 255, pp. 114-124, ISSN: 0096-3003, 2015. DOI: 10.1016/j.amc.2014.08.036. JCR = 1.345. Subject categories = Mathematics, Applied: 54/254 (Q1).

JCR 2014 .   Q2:2

1. A.G. Arrondo, J.J. Fernández, J.L. Redondo and P.M. Ortigosa. An approach for solving competitive location problems with variable demand using multicore systems. Optimization Letters, Vol. 8, n. 2, pp. 555-567, 2014. DOI: 10.1007/s11590-012-0596-z.  JCR= 0.934. Subject categories = Mathematics, applied: 104/257 (Q2); Operations Research and Management Science: 52/81 (Q3).

2. A.G. Arrondo, J.L.Redondo, J. Fernández and P.M. Ortigosa. Solving a leader-follower facility problem via parallel evolutionary approaches. Journal of supercomputing, Vol. 70, n. 2, pp. 600-611, ISSN: 0920-8542, 2014. DOI: 10.1007/s11227-014-1106-0. JCR= 0.858. Subject categories = Computer science, Hardware & Architecture: 25/50 (Q2); Computer Science, Theory & Methods: 56/102 (Q3); Engineering, Electrical & Electronics: 157/249 (Q3).

JCR 2013 .   Q1: 3

1.  J.L.Redondo, J. Fernández, A.G. Arrondo, I. García, and P.M. Ortigosa. A two-level evolutionary algorithm for solving the facility location and design (1|1)-centroid problem on the plane with variable demand. Journal of global optimization, Vol. 56, n. 3, pp. 983-1005. 2013. DOI: 10.1007/s10898-012-9893-4.  JCR (2013)= 1.355. Subject categories =  Operations Research and Management Science: 28/79 (Q2); Mathematics, Applied: 48/251 (Q1).  

2. B. Ivorra, J.L. Redondo, J.G. Santiago, P.M. Ortigosa and A.M. Ramos. Two- and three-dimensional modeling and optimization applied to the design of a fast hydrodynamic focusing microfluidic mixer for protein folding. Physics of  fluids, Vol. 25, n. 3, pp. 1-17, 2013. DOI: 10.1063/1.4793612.JCR = 2.040. Subject categories = Mechanics: 21/139 (Q1); Physics, fluids & plasmas 13/31 (Q2).

3. J.D. Álvarez, J.L. Redondo, E. Camponogara, J. Normey-Rico, M. Berenguel and P.M. Ortigosa. Optimizing building comfort temperature regulation via model predictive control. Energy and Buildings, Vol. 57, pp. 361-372, 2013. DOI: 10.1016/j.enbuild.2012.10.044.  JCR = 2,679. Subject categories =   Construction and Building Technology: 4/57 (Q1); Engineering, Civil: 7/122 (Q1); Energy and Fuels:26/81 (Q2).

JCR 2012 .  Q1:1, Q2:1

1.  J.L. Redondo, J. Fernández, A. G. Arrondo, I. García, and P.M. Ortigosa. Fixed or variable demand? Does it matter when locating a facility?. OMEGA-International journal of management science, Vol. 40, n. 1, pp. 9-20; ISSN: 0305-0483. 2012.  DOI: 10.1016/j.omega.2011.02.007. JCR = 3.024. Subject categories = Operations research & Management science: 3/79 (Q1).

2. J.L. Redondo, P.M. Ortigosa and J. Zilinskas. Multimodal evolutionary algorithm for multidimensional scaling with city-block distances. Informatica, Vol. 23, n. 4, pp. 601-620, 2012.  JCR(2011) = 1.117. Subject categories = Computer science, information systems: 55/132 (Q2); Mathematics, Applied: 66/246 (Q2).

JCR 2011: Q1:1,  Q3:3

1.  J.L. Redondo, I. García, and P.M. Ortigosa.. Parallel evolutionary algorithms based on shared memory programming approaches. Journal of Supercomputing, Vol. 58, n. 2, pp. 270-279; ISSN: 0920-8542. 2011.  DOI: 10.1007/s11227-009-0374-6. JCR = 0.578. Subject categories =Computer science, Hardware & Architecture: 37/50 (Q3); Computer Science, Theory & Methods: 68/99 (Q3); Engineering, Electrical & Electronics: 180/245 (Q3). 

2. J.L. Redondo, J. Fernández, I. García, and P.M. Ortigosa. Parallel algorithms for continuous multifacility competitive location problems. Journal of Global Optimization, Vol. 50, n. 4, pp. 557-573. 2011. 10.1007/s10898-009-9455-6.  JCR  = 1.196. Subject categories = Operations Research and Management Science: 24/77 (Q2); Mathematics, Applied (Q1): 53/245. 

3.  J.L. Redondo, J. Fernández, I. García, and P.M. Ortigosa. Solving the facility location and design (1∥1)-centroid problem via parallel algorithms. Journal of Supercomputing, Vol. 58, n. 3, pp. 420-428; ISSN: 0920-8542. 2011. 10.1007/s11227-011-0605-5.  JCR = 0.578. Subject categories = Computer science, Hardware & Architecture: 37/50 (Q3); Computer Science, Theory & Methods: 68/99 (Q3); Engineering, Electrical & Electronics: 180/245 (Q3). 

4.  J.L. Redondo, B. Pelegrín, P. Fernández, I. García, and P.M. Ortigosa. Finding multiple global optima for unconstrained discrete location problems. Optimization Methods & Software, Vol. 26, n. 2, pp. 207-224; ISSN: 1055-6788. 2011.  DOI: 10.1080/10556780903567760. JCR = 0.651. Subject categories = Operations Research and Management Science: 48/77 (Q3); Computer Science, Software Engineering: 67/104 (Q3); Mathematics, Applied: 139/245 (Q3). 

JCR 2010 .  Q1: 1

1.  J.L. Redondo, J. Fernández, I. García, and P.M. Ortigosa. Heuristics for the facility location and design (1∥1)-centroid problem on the plane. Computational Optimization and Applications, Vol. 45, n. 1, pp. 111-141. 2010.  JCR = 1.274. Subject categories =Operations Research and Management Science: 25/75 (Q2); Mathematics, Applied: 52/236 (Q1). 

JCR 2009 .  Q1:1, Q2:1, Q4:1

1. J.L. Redondo, J. Fernández, I. García, and P.M. Ortigosa. Solving the Multiple Competitive Location and Design Problem on the Plane. Evolutionary Computation, Vol. 17, n. 1, pp. 21-53. 2009.  JCR = 3.103. Subject categories = Computer Science, Artificial Intelligence: 8/103 (Q1); Computer Science, Theory and Methods: 4/92 (Q1). 

2. J.L. Redondo, J. Fernández, I. García, and P.M. Ortigosa. A robust and efficient global optimization algorithm for planar competitive location problems. Annals of Operations Research, n. 167, pp. 87-105. 2009. DOI: 10.1007/s10479-007-0233-x. JCR = 0.961. Subject categories =: Operations Research and Management Science: 40/73 (Q2). 

3. J.L. Redondo, J. Fernández, I. García, and P.M. Ortigosa. Sensitivity analysis of a continuous multifacility competitive location and design problem. TOP, Vol. 17, n. 2, pp. 347-365. 2009. DOI: 10.1007/s11750-008-0071-2.  JCR = 0.865. Subject categories = Operations Research and Management Science: 47/63 (Q4). 

JCR 2008 .  Q3:1

1.  J.L. Redondo, J. Fernández, I. García, and P.M. Ortigosa. Parallel algorithms for continuous competitive location problems. Optimization Methods & Software, Vol. 23, n. 5, pp. 779-791. 2008. DOI:  10.1080/10556780802402564. JCR = 0.708. Subject categories = Operations Research and Management Science: 44/64 (Q3); Computer Science, Software Engineering: 67/86 (Q4); Mathematics, Applied: 106/175. (Q3)

JCR 2007 . Q2:2.

1. P.M. Ortigosa, J.L. Redondo, I. García, and J.J. Fernández. A population global optimization algorithm to solve the image alignment problem in electron crystallography. Journal of Global Optimization, Vol. 37, n. 4, pp. 527-539. 2007. DOI: 10.1007/s10898-006-9060-x. JCR = 0.813. Subject categories = Operations Research and Management Science: 24/60 (Q2); Mathematics, Applied: 63/165 (Q2).

2.  B. Pelegrín, J. Redondo, P. Fernández, I. García, and P. M. Ortigosa. GASUB: Finding global optima to discrete location problems by a genetic-like algorithm. Journal of Global Optimization, Vol. 38, n. 2, pp. 249-264. 2007. DOI: 10.1007/s10898-006-9076-2.  JCR = 0.813. Subject categories = Operations Research and Management Science: 24/60 (Q2); Mathematics, Applied: 63/165 (Q2).