International Journals

Total JCR Publications: 68.                   Q1: 30;    Q2: 27;    Q3: 10;    Q4: 1.

2024.   Q1: 2; Q2:1

1. 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).

2. M. Lupion; F. Cruciani; I. Cleland; C. Nugent; P.M. Ortigosa. Data augmentation for Human Activity Recognition with Generative Adversarial Networks. IEEE Journal of Biomedical and Health Informatics, 2024, JCR (2022)=7,7. Subject categories = Computer Science, Information Systems: 21/251 (D1)(Q1)

3. F. Romero, P.M. Ortigosa, G. Bandera, L.F. Romero. SkewEngine: enhancing performance of intensive calculations on regular meshes. Journal of Supercomputing (2024). https://doi.org/10.1007/s11227-024-05923-2.  JCR (2022) =3,3. Subject categories = Computer Science, Theory & Methods: 37/111 (Q2).

2023.   Q1: 4;  Q2: 1 

1. M. Lupión,  A. Polo-Rodríguez, J. Medina-Quero, J. F. Sanjuan, P.M. Ortigosa. 3D Human Pose Estimation from multi-view thermal vision sensors. Information Fusion, 2023, JCR (2022) = 18,3. Subject categories = Computer Science, Theory & Methods: 2/144 (D1)(Q1).

4. M. Lupión, V. González-Ruiz,  J. Medina-Quero, J.F. Sanjuan, P.M. Ortigosa. THPoseLite, a Lightweight Neural Network for Detecting Pose in Thermal Images. IEEE Internet of Things, 2023.  DOI: 10.1109/JIOT.2023.3264215. JCR (2022)=10,5. Subject categories: Computer Science, Information Systems: 4/158 (D1)(Q1).

5. 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. JCR (2022) = 2.9. Subject categories = Mathematics, Applied: 29/267 (Q1).

6. M.R. Ferrández, B. Ivorra, J.L. Redondo, A.M. Ramos and 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, 2023. JCR (2022) = 3,9. Subject categories: Mathematics, Applied: 12/267 (D1)(Q1).

7. J.S. García, S.P. Martín, J.L. Redondo, J.J. Moreno and P.M. Ortigosa. Improving drug discovery through parallelism. Journal of Supercomputing, Available online, 2023. JCR (2022) = 3,3. Subject categories: Computer Science, Theory & Methods: 37/111 (Q2).

2022.   Q1: 2;  Q2: 5 

1. M. Lupión, N.C. Cruz, J.F. Sanjuan, B. Paechter and P.M. Ortigosa. Accelerating neural network architecture search using multi-GPU high-performance computing. Journal of Supercomputing, 2022. JCR = 3,3. Subject categories: Computer Science, Theory & Methods: 37/111 (Q2).

2. N.C. Cruz, R. Monterreal, J.L. Redondo, J. Fernández-Reche, R. Enrique and P.M. Ortigosa. Optical characterization of heliostat facets based on Computational Optimization. Solar Energy, 248, 1-15, 2022. JCR  = 6,7. Subject categories: Energy & Fuels: 37/119 (Q2).

3. N.C. Cruz, A. González-Redondo, J.L. Redondo, J.A. Garrido, E.M. Ortigosa and 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  = 3.5. Subject categories: Mathematical & Computational Biology: 15/55 (Q2).

4. 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 = 4,6. Subject categories: Multidisciplinary Sciences: 22/73 (Q2).

5. M. Lupión, A. Polo-Rodríguez, J. Medina-Quero, J.F. Sanjuan, P.M. Ortigosa. On the limits of Conditional Generative Adversarial Neural Networks to reconstruct the identification of inhabitants from IoT low-resolution thermal sensors.  Expert Systems with Applications. 2022. JCR = 8,5. Subject categories = Computer Science,  Artificial Intelligence: 22/145 (Q1) ; Operations Research & Management Science: 6/86 (D1)(Q1); Engineering, Electrical & Electronics:  23/275 (D1)(Q1).

6. M. Lupión, J.F. Sanjuan, P.M. Ortigosa. Using a Multi-GPU node to accelerate the training of Pix2Pix neural networks. Journal of Supercomputing. 2022. JCR = 3,3. Subject categories: Computer Science, Theory & Methods: 37/111 (Q2).

7. S. Puertas-Martín, J. L. Redondo, M.R. Ferrández, H. Pérez-Sánchez, and P.M. Ortigosa, MultiPharm-DT: A Multi-Objective Decision Tool for Ligand-Based Virtual Screening Problems, Informatica, 33, 55–80. 2022, JCR =2,9. Subject categories =Mathematics, Applied 29/267 (Q1) .

2021.   Q1: 1;  Q2: 1.

1. 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 2021.  DOI 10.15388/21-INFOR450.  JCR= 3,429. Subject categories =Mathematics, Applied 23/267 (Q1) .

2. M. Lupión, J. Medina-Quero, J.F. Sanjuan, P.M. Ortigosa,  DOLARS, a Distributed On-Line Activity Recognition System by Means of Heterogeneous Sensor in Real-Life Deployments - A Case Study in the Smart Lab of the University of Almería , Sensors (2021), 21(2), 405, DOI 10.3390/s2102405. JCR = 3,847. Subject categories =Instrument & instrumentation 19/64 (Q2) .

2020.   Q1: 2; Q2:  ; Q3: 1.

1. S. Puertas-Martín, J.L. Redondo, H. Pérez-Sánchez, P.M. Ortigosa, Optimizing Electrostatic Similarity for Virtual Screening: A New Methodology, Informatica (2020), 1-19, DOI 10.15388/20-INFOR424. JCR= 2,688. Subject categories =Mathematics, Applied 35/265 (Q1) .

2. N.C. Cruz, J.D. Álvarez, J.L. Redondo, M. Berenguel, R. Klempous y P.M. Ortigosa. A Simple and Effective Heuristic Control System for the Heliostat Field of Solar Power Tower Plants. Acta Polytechnica Hungarica. Aceptado, Febrero, 2020. JCR=1,806.  Subject categories =Engineering, Multidisciplinary 55/90 (Q3).

3. S. Puertas-Martín, A.J. Banegas-Luna, M. Paredes-Ramos, J.L. Redondo, P. M. Ortigosa, O. O. Brovarets and 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, 2020.  DOI: 10.1080/17460441.2020.1758664. JCR=6,098. Subject categories = Pharmacololy & Pharmacy: 32/276 (Q1).

2019.   Q1: 2; Q2: 4.

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. Operations Research & Management Science: 21/83 (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: 31/108 (Q2); Computer science, Hardware & Architecture: 24/53 (Q2); Engineering, Electrical & Electronics: 123/266 (Q2).

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=. 3,998. 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: 9/109 (Q1)(D1).

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: 31/108 (Q2); Computer science, Hardware & Architecture: 24/53 (Q2); Engineering, Electrical & Electronics: 123/266 (Q2).

6. 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, 2019.DOI: 10.1080/0305215X.2019.1618289. JCR = 2,165. Subject categories = Engineering, Multidisciplinary:  39/91 (Q2).

2018 .   Q1: 4, 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).

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. Fernández-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: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).

2016 .  Q2: 1.

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).

2015 .  Q1: 3, Q3: 3.

1. A. Lanciskas, P.M. Ortigosa and J. Zilinskas. Parallel Optimization Algorithm for Competitive Facility Location. Mathematical Modeling and Analysis, Vol. 20, n. 5, pp. 619-640, ISSN: 1392-6292, 2015. DOI: 10.3846/13926292.2015.1088903.  JCR= 0.468. Subject categories =  Mathematics: 223/312 (Q3).

2. 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).

3. 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).

4.  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).

5. 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).

6. J.M. García, G. Martín, J.M. Cecilia, H.P. Sánchez and P.M. Ortigosa. An efficient approach for solving the HP Protein Folding Problem based on UEGO. Journal of Mathematical Chemistry, Vol. 53, n. 3, pp. 795-806, ISSN: 0259-9791, 2015. DOI: 10.1007/s10910-014-0459-1.  JCR = 1.056. Subject categories = Mathematics, interdisciplinary applications: 56/101 (Q3); Chemistry, multidisciplinary 116/163 (Q3).

2014 .   Q2: 3

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).

3. J.M. García, G. Martín and P.M. Ortigosa. A GPU implementation of an hybrid evolutionary algorithm: GPuEGO. Journal of supercomputing, Vol. 70, n. 2, pp. 684-895, ISSN: 0920-8542, 2014. DOI: 10.1007/s11227-014-1136-7.  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).

2013 .   Q1:3, Q2:1

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. A. Lanzinskas, P.M. Ortigosa and J. Zilinskas. Multi-objective Single Agent Stochastic Search in Non-dominated Sorting Genetic Algorithm. Nonlinear Analysis: Modeling and Control, Vol. 18, n. 3, pp. 293-313, 2013.  DOI: 10.15388/na.18.3.14011.  JCR = 0.914. Subject categories =  Mathematics, Applied: 94/251 (Q2); Mathematics, interdisciplinary applications: 60/95 (Q2); Mechanics 86/139 (Q3).

4. 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, 2012. 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).

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).

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). 

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). 

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). 

2008 .  Q1:1, 

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)

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). 

2006 .   Q4:1

1. E. M. Ortigosa, A. Cañas, E. Ros, P.M. Ortigosa, S. Mota and J. Díaz. Hardware description of multi-layer perceptrons with different abstraction levels. Microprocessors and Microsystems. 30 - 7, pp. 435 - 444. 2006. DOI: 10.1016/j.micpro.2006.03.004. JCR = 0,283. Subject categories = Computer Science, Hardware & Architecture: 39/44 (Q4); Computer Science, Theory & Methods: 70/75 (Q4); Engineering, Electrical & Electronic: 183/206 (Q4).

2001:  Q2:2, Q3:1

1.  E.M.T. Hendrix, P.M. Ortigosa, and I. García. On success rates for controlled random search. Journal of Global Optimization, Vol. 21, pp. 385-398; ISSN: 0925-5001. 2001. DOI: 10.1023/A:1012387510553. Subject categories = Operations Research & Management Science: 22/53 (Q2); Mathematics, Applied: 94/158 (Q3).

2.  M. Jelásity, P.M. Ortigosa, and I. García. UEGO, An Abstract Clustering Technique for Multimodal Global Optimization. Journal of Heuristics, Vol. 7, n. 3, pp. 215-233. 2001. DOI: 10.1023/A:1011367930251. Indicios de calidad: JCR = 0.404. Categoría (posición/total): Computer Science, Artificial Intelligence: 44/72 (Q3); Computer Science, Theory & Methods: 48/71 (Q3).

3.  P.M. Ortigosa, I. García, and M. Jelasity. Reliability and performance of UEGO, a clustering-based global optimizer. Journal of Global Optimization, Vol. 19, n. 3, pp. 265-289. 2001. DOI: 10.1023/A:1011224107143. Subject categories = Operations Research & Management Science: 22/53 (Q2); Mathematics, Applied: 94/158 (Q3). 

4.  J.M. Gonzalez-Linares, N. Guil, E.L. Zapata, P.M. Ortigosa, and I. García. Parallelization of an algorithm for the automatic detection of deformable objects. Acta Cybernetica, Vol. 15, n. 2, pp. 151-162. 2001. DOI: 10.5555/512590.512593

1999.  

1.  P.M Ortigosa, J. Balogh, and I. García. A parallelized sequential random search global optimization algorithm. Acta Cybernetica, Vol. 14, n. 2, pp. 403-418. 1999. DOI: 10.5555/336404.336424