Vitae & Publications

2025

2024

1. A. Akgül, J.A. Conejero. Fractal fractional derivative models for simulating chemical degradation in a bio- reactor. Axioms 2024, 13, 151. https://doi.org/10.3390/axioms13030151
2. R.V. Arévalo, J.A. Conejero, Ò. Garibo-i-Orts, and A. Peris. Stock volatility as an anomalous diffusion process. AIMS Math. 2024, 9(12): 34947–34965. https://doi.org/10.3934/math.20241663
3. A. Asensio-Cuesta, A. Sánchez-García, T. Soria-Comes, I. Maestu, M. Martín-Ureste, J.A. Conejero, J.M. García-Gómez. Testing lung cancer pacients’ and oncologists‘experience with the Lalaby app for monito- ring the quality of life through mobile sensors and integrated questionaires. Int. J. Human-Comp. Interact. http://doi.org/10.1080/10447318.2022.2121561
4. J.A. Conejero, A. Velichko, Ò. Garibo-i-Orts, Y. Izotov, V.T. Pham. Exploring entropy-based classification of time series using visibility graphs from chaotic maps. Mathematics. 12, 938, 2024. https://doi.org/10. 3390/math12070938
5. D. Domingo-Calabuig, S. Hoyas, R. Vinuesa, and J.A. Conejero. Visualizing academic contributions to achieving the Sustainable Development Goals through AI: The case of Universitat Politècnica de València. ACS Sustainable Resour. Manage. 2024. https://doi.org/10.1021/acssusresmgt.4c00074
6. M. Farman, A. Akgül, J.A. Conejero, A. Shehzad, K.S. Nisar, D. Baleanu. Analytical study of a Hepatitis B epidemic model using a discrete generalized nonsingular kernel. AIMS Math. 9(7): 16966-16997 (2024). doi: 10.3934/math.2024824
7. Ò. Garibo-i-Orts, C. Lizama, A. Akgül, J.A. Conejero, Predictive deep learning models for analyzing discrete fractional dynamics from noisy and incomplete data. Chinese J. Phys. 89, 1276-1285 (2024). https://doi. org/10.1016/j.cjph.2024.04.010.
8. J. Guerra-Carmenate, M.E. Iglesias-Martínez, P.M. Velasco-Pla and J.A. Antonino-Daviu, and L. Dunai and J.A. Conejero and P. Fernández-de-Córdoba. Multifractal spectrum and complex cepstrum analysis of armature currents and stray flux signals for sparking detection in DC motors. IEEE Trans. Ind. Appl. 60(1), 164-173, 2024. https://doi.org/10.1109/TIA.2023.3312235
9. M.E. Iglesias Martínez, J.A. Antonino-Daviu, L. Dunai, J.A. Conejero, P. Fernández de Córdoba. Higher- order spectral analysis and artificial intelligence for diagnosing faults in electrical machines: an overview. Mathematics 2024, 12, 4032. https://doi.org/10.3390/math12244032
10. Z.A. Khan, M.I. Liaqat, A. Akgül, J.A. Conejero. Qualitative analysis of stochastic Caputo-Katugampola fractional differential equations. Axioms. 2024. Z.A. Khan, M.I. Liaqat, A. Akgül, J.A. Conejero, J.A. Qua- litative analysis of stochastic Caputo–Katugampola fractional differential equations. Axioms 2024, 13, 808. https://doi.org/10.3390/axioms13110808
11. M.I. Liaqat, Z.A. Khan, J.A. Conejero, A. Akgül. Revised and generalized results of averaging principles for the fractional case. Axioms. 2024; 13(11):732. https://doi.org/10.3390/axioms13110732
12. J. Moreno-Malo, J.L. Posadas-Yagüe, J.C. Cano, C.T. Calafate, J.A. Conejero, J.L. Poza-Lujan, Improving traffic light systems using deep Q-networks, Expert Sys. Appl. 252(B), 124178, 2024. https://doi.org/10. 1016/j.eswa.2024.124178.

2023

1. Y. Ahsini, P.Díaz-Masa, B. Inglés, A. Rubio, A. Martínez, A. Magraner, J.A. Conejero. The electric vehicle traveling salesman problem on digital elevation models for traffic-aware urban logistics. Algorithms 2023, 16, 402. https://doi.org/10.3390/a16090402
2. A. Begga, Ò. Garibo-i-Orts, S. de María-García, F. Escolano, M.A. Lozano, N. Oliver, and J.A. Conejero (2023) Predicting COVID-19 pandemic waves including vaccination data with deep learning. Front. Public Health 11:1279364. https://doi.org/10.3389/fpubh.2023.1279364
3. J.A. Conejero, A. Falcó, and M. Mora-Jiménez. A pre-processing procedure for the implementation of the greedy rank-one algorithm to solve high-dimensional linear systems. AIMS Math. 8(11), 25633-25653 https: //doi.org/10.3934/math.20231308
4. J.A. Conejero, A. Falcó, and M. Mora-Jiménez. Structure and approximation properties of Laplacian-like matrices. Results Math. 78, 184 https://doi.org/10.1007/s00025-023-01960-0
5. J.A. Conejero, O. Garibo-i-Orts, and C. Lizama. Characterization of anomalous diffusion through convolu- tional transformers. Math. Meth. Appl. Sci. https://doi.org/10.1002/mma.9228
6. J.A. Conejero, Ò. Garibo-i-Orts, C. Lizama. Inferring the fractional nature of Wu Baleanu trajectories. Nonlinear Dyn. 111, 12421–12431 (2023). doi:10.1007/s11071-023-08463-1
7. Ò. Garibo-i-Orts, N. Firbas, L. Sebastiá, J.A. Conejero. Characterization of anomalous diffusion through convolutional transformers. Phys. Rev. E 107, 034138 (2023). https://doi.org/10.1103/PhysRevE.107. 034138
8. S. De María-García, A. Ferrando, J.A. Conejero, P. Fernández de Córdoba, M.A. García-March. A method for the dynamics of vortices in a Bose-Einstein condensate: Analytical equations of the trajectories of phase singularities. Condens. Matter 8, 12 (2023). https://doi.org/10.3390/condmat8010012
9. N. Firbas, O. Garibo-i-Orts, M.A. García-March, and J.A. Conejero. Characterization of anomalous diffusion through convolutional transformers. J. Phys. A: Math. Theor. 56, 014001 (2023). https://doi.org/10. 1088/1751-8121/acafb3
10. L. Goiriz, R. Ruiz, Ò. Garibo-I-Orts, J.A. Conejero, and G. Rodrigo. A variant-dependent molecular clock with anomalous diffusion models SARS-CoV-2 evolution in humans. Proc. Natl. Acad. Sci. USA 120(30) e2303578120 (2023). https://doi.org/10.1073/pnas.2303578120.
11. M.E. Iglesias-Martínez J. Guerra-Carmenate, J.A. Antonino-Daviu, L. Dunai, C.A. Platero, J.A. Conejero, and P. Fernández de Córdoba. Automatic classification of field winding faults in syncrhonous motors based on bicoherence image segmentation and higher order statistics of stray flux signals. IEEE Trans. Ind. Appl. 59(4) 3945-3954 (2023). https://doi.org/10.1109/TIA.2023.3262220 This paper has received the 2024 EMC Transactions on Industry Applications First Prize Paper Award.
12. S.B. Ivars, Y.V. Kartashov, P. Fernández de Córdoba, J.A. Conejero, Ll. Torner, and C. Milián. Photo- nic snake states in two-dimensional frequency combs. Nat. Photon. (2023). https://doi.org/10.1038/ s41566-023-01220-1 See also: S.B. Ivars, Y.V. Kartashov, P. Fernández de Córdoba, J.A. Conejero, Ll. Torner, and C. Milián. Photonic snake states. Optics & Photonic news December (2023). https://www.optica-opn.org/home/ articles/volume_34/december_2023/extras/photonic_snake_states/
13. F. Larosa, S. Hoyas, J. García-Martínez, J.A. Conejero, F. Fuso-Nerini, and R. Vinuesa. Halting generative AI advancements may slow down progress in climate research. Nat. Clim. Chang. 13, 497–499 (2023). https: //doi.org/10.1038/s41558-023-01686-5
14. A. Sánchez-Roncero, Ò. Garibo-i-Orts, J.A. Conejero, H. Eivazi, F. Mallor, E. Rosenberg, F. Fuso-Nerini, J. García-Martínez, R.Vinuesa, S. Hoyas. The Sustainable Development Goals and Aerospace Engineering: A critical note through Artificial Intelligence. Res. Eng. 17:100940 (2023) https://doi.org/10.1016/j. rineng.2023.100940
15. P.A. Solares-Hernández, Ò. Garibo-i-Orts, J.A. Conejero, F. Manzano. Adaptation of the COVASIM model to incorporate non-pharmaceutical interventions: Application to the Dominican Republic during the second wave of COVID-19. Appl. Math. Nonlinear Sci. 8(2):2319-2332 (2023) https://doi.org/10.2478/amns. 2023.1.00413

2022

1. S. Asensio-Cuesta, A. Sánchez-García, T. Soria-Comes, I. Maestu, M. Martín-Ureste, J.A. Conejero, J.M. Garcia-Gomez. Testing lung cancer patients’ and oncologists’ experience with the Lalaby app for monitoring the Quality of Life through mobile sensors and integrated questionnaires. Int. J. Hum.-Comp. Interaction (2022). https://doi.org/10.1080/10447318.2022.2121561
2. S. Asensio-Cuesta, V. Blanes-Selva, J.A. Conejero, J.M. Garcia-Gomez. A user-centered chatbot to identify and interconnect individual, social and environmental risk factors related to overweight and obesity. Inform. Health Soc. Care 47(1):38-52 (2022). https://doi.org/10.1080/17538157.2021.1923501
3. J.A. Conejero, J. Franceschi, E. Picó-Marco. Fractional vs. ordinary control systems: What does the fractional derivative provide?. Mathematics 10(15), 2719 (2022), https://doi.org/10.1080/0025570X.2022.2092382
4. J.A. Conejero, M. Murillo-Arcila, J.M. Seoane, J.B. Seoane. When does chaos appear while driving? Lear- ning dynamical systems via car-following models. Math. Magazine (2022), https://doi.org/10.1080/ 0025570X.2022.2092382
5. J.A. Conejero and Nuria Oliver. La iniciativa Valencia IA4COVID. Indice: Revista de Estadística y Sociedad 86:33-35 (2022).
6. D. Fuente, D. Hervás, M. Rebollo, J.A. Conejero, and N. Oliver. COVID-19 outbreaks analysis in the Valencian Region of Spain in the prelude of the third wave. Front. Public Health 10:1010124 (2022) https: //doi.org/10.3389/fpubh.2022.1010124
7. P. Parra-Rivas, S. Hetzel, Y.V. Kartashov, P. Fernández de Córdoba, J.A. Conejero, A. Aceves, and C. Milián. Quartic Kerr cavity combs: bright and dark solitons. Optic Lett. 47(10) 2438-2441 (2022). https: //doi.org/10.1364/OL.455944
8. T. Soria Comes, S. Asensio, I. Maestu Maiques, A. Sánchez García, M. Martin Ureste, J.A. Conejero, and J.M. García-Gómez. EP10.01-017 Use of Lalaby in lung cancer patients to trace performance from phone sensors and reported outcomes involving quality of life. J. Thorac. Oncol. 17.9 (2022): S507-S508. https://doi.org/10.1016/j.jtho.2022.07.894
9. L. Zhou, N. Romero, J. Martínez-Miranda, J.A. Conejero, J.M. García-Gómez, and C. Sáez, C. (2021). Subphenotyping of Mexican patients with COVID-19 at preadmission to anticipate severity stratification: Age-sex unbiased meta-clustering technique. JMIR Public Health Surveill (jph). 8(3):e30032 (2022). https: //doi.org/10.2196/30032

2021

1. J. Amo-Navarro, R. Vinuesa, J.A. Conejero, S. Hoyas. Two-dimensional compact-finite-difference schemes for solving the bi-Laplacian operator with homogeneous wall-normal derivatives. Mathematics 9:19, 2508 (2021). https://doi.org/10.3390/math9192508
2. S. Asensio-Cuesta, V. Blanes-Selva, J. Alberto Conejero, A. Frigola, M.G. Portolés-Morales, J.F. MErino- Torres, M. Rubio-Almanza, S. Syed-Abdul, Y.C. Li, R. Vilar-Mateo, L. Fernández-Luque, J.M. García- Gómez. A user-centered Chatbot (Wakamola) to collect linked data in populations networks to support studies of overweight and obesity causes: design and pilot study. JMIR Med. Inform. 9:4, e17503 (2021) https://doi.org/10.2196/17503
3. S. Asensio-Cuesta S, V. Blanes-Selva, M. Portolés, J.A. Conejero, J.M. García-Gómez. How the Wakamola chatbot studied a university community’s lifestyle during the COVID-19 confinement. Health Inform. J. April 27:2, (2021). https://doi.org/10.1177/14604582211017944
4. Ma.L. Carrió, J. Alberto Conejero, A. Pérez-Gómez y P. Solares-Hernández. Spanish power distance in Twitter in the Spanish COVID-19 crisis. Circ. Linguist. Apl. Comun. 86, 119-134 (2021). https://doi. org/10.5209/clac.72653
5. J.A. Conejero, F. Martínez, A. Peris, F. Ródenas. Sets of periods for chaotic linear operators. RAC- SAM Rev. R. Acad. Cienc. Exactas Fís. Nat. Ser. A Mat. 115:2, 63 (2021). https://doi.org/10.1007/ s13398-020-00996-z
6. M.E. Iglesias-Martinez, J.A. Antonino-Daviu, P. Fdez. de Córdoba, J. Alberto Conejero, and L. Dunai. Automatic classification of winding asymmetries in wound rotor induction motors based on bicoherence and fuzzy C-means algorithms of stray flux signals. IEEE Trans. Ind. Appl. 57:6, 5876-5886 (2021). https: //doi.org/10.1109/TIA.2021.3108413
7. S.B. Ivars, Y.V. Kartashov, L. Torner, J.A. Conejero, and C. Milián. Reversible self-replication of spatiotem- poral Kerr cavity patterns. Phys. Rev. Lett. 126:6, 063903 (2021). https://doi.org/10.3390/sym12111879
8. G. Muñoz-Gil, G., G. Volpe, G., M.A. Garcia-March, et al. Objective comparison of methods to decode anomalous diffusion. Nat. Commun. 12:1, 6253 (2021). https://doi.org/10.1038/s41467-021-26320-w
9. O. Garibo-i-Orts, A. Baeza, M.A. Garcia-March, J.A. Conejero. Efficient recurrent neural network methods for anomalously diffusing single particle short and noisy trajectories. J. Phys. A: Math. Theor. 54:50, 504002 (2021). https://doi.org/10.1088/1751-8121/ac3707
10. J.L. Poza-Luján, J.J. Sáenz-Peñafiel, J.L. Posadas-Yagüe, J.A. Conejero and J.C. Cano, Use of Receiver Operating Characteristic curve to evaluate a street lighting control system, IEEE Access, 9, 144660-144675 (2021) https://doi.org/10.1109/ACCESS.2021.3121669
11. C. Sáez, N. Romero, J.A. Conejero, and J.M. García-Gómez. Potential limitations in COVID-19 machine learning due to data source variability: a case study in the nCov2019 dataset. J. Amer. Med. Inf. Assoc. 28:2, 360-364 (2021). https://doi.org/10.1093/jamia/ocaa258

2020

1. D. Alarcón, Eduardo Balvís, R. Bendaña, J.A. Conejero, P. Fernández de Córdoba, J.L. Higón, J.Ma. Isidro, and H. Michinel. Mathematical modeling and numerical simulation of heat dissipation in LED bulbs. Thermal Sci. 24, 1877-1884 (2020). https://doi.org/10.2298/TSCI190521076A
2. F. Florez, P. Fernández de Córdoba, J.L. Higón, J.A. Conejero, and J.L. Poza-Luján. A system to monitor and model the thermal isolation of coating compounds applied to closed spaces. Thermal Sci. 24, 1885-1892 (2020). https://doi.org/10.2298/TSCI190525077M
3. D. Fuente, Ó. Garibo i Orts, J.A. Conejero, J.F. Urchueguía. Rational design of a genetic finite state machine: Combining biology, engineering, and mathematics for bio-computer research. Mathematics. 8(8), 1362 (2020). https://doi.org/10.3390/math8081362
4. M.E. Iglesias-Martinez, P. Fdez. de Córdoba, J.A. Antonino-Daviu, and J.A. Conejero. Higher order spec- tral analysis of stray flux signals for faults detection in induction motors. Applied Mathematics Nonlinear Sciences. 5(2), 1-14. https://doi.org/10.2478/amns.2020.1.00032
5. M.E. Iglesias-Martinez, P. Fdez. de Córdoba, J.A. Antonino-Daviu, and J.A. Conejero. Detection of adjacent and non-adjacent bar breakages in induction motors via convolutional analysis of sound signals. Appl. Sci. 10:19, 6641 (2020). https://doi.org/10.3390/app10196641
6. F. Pedroche, J.A. Conejero. Corrected Evolutive Kendall’s τ coefficients for incomplete rankings with ties. Application to the case of Spotify lists. Mathematics. 8(10), 1828 (2020). https://doi.org/10.3390/ math8101828
7. C. Pérez-Benito, C. Jordán, J.A. Conejero, and S. Morillas. Graph-based methods for simultaneous smoothing and sharpening of color images (Methods). MethodsX 7, 1008195 (2020). https://doi.org/10.1016/j.mex. 2020.100819
8. F.J. Pérez-Benito, J.M. García-Gómez, E. Navarro-Pardo, and J.A. Conejero. Community detection based deep neural network (CD-DNN) architectures: a fully automated framework for Likert scales. Math. Meth. Appl. Sci. 43:14, 8290-8301(2020) https://doi.org/10.1002/mma.6567
9. F.J. Pérez-Benito, J.A. Conejero C. Sáez, J.M. García-Gómez, E. Navarro-Pardo, L.L. Florencio y C. Fernández-de-las-Peñas. Subgrouping factors influencing migraine intensity in women: a semi-automatic methodology based on machine learning and information geometry. Pain Practice. 20:3, 297-309 (2020). https://doi.org/10.1111/papr.12854
10. C. Sáez, N. Romero, J.A. Conejero, and J.M. García-Gómez. Potential limitations in COVID-19 machine learning due to data source variability: a case study in the nCov2019 dataset. To appear, JAMIA. https: //doi.org/10.1093/jamia/ocaa258
11. P.A. Solares-Hernández, F.A. Manzano, F.J. Pérez-Benito, J.A. Conejero. Divisibility patterns within Pascal divisibility networks. Mathematics. 8(2), 254 (2020). https://doi.org/10.3390/math8020254
12. P.A. Solares-Hernández, M.A. García-March, J.A. Conejero. Divisibility patterns within Pascal divisibility networks. Symmetry. 12(11), 1879 (2020). 12, 1879; https://doi.org/10.3390/sym12111879

2019

1. S. Asensio-Cuesta, J.M. García-Gómez, J.L. Poza-Luján, and J.A. Conejero. A game-theory method to design job rotation schedules to prevent musculoskeletal disorders based on workers’ preferences and competencies. Int. J. Environ. Res. Public Health 2019, 16, 4666. https://doi.org/10.3390/ijerph16234666
2. S. Asensio-Cuesta, A. Sánchez-García, J. Alberto Conejero, C. Sáez, A. Rivero-Rodríguez, and Juan M. García-Gómez. Smartphone sensors for monitoring cancer-related quality of life: App, design, EORTC QLQ- 30 mapping, and feasibility in healthy subjects. Int. J. Env. Res & Public Health. 16, 461 (2019). https: //doi.org/10.3390/ijerph16030461
3. L. Bernal-González, J.A. Conejero, M. Murillo-Arcila, J.B. Seoane-Sepúlveda. [S]-Linear and convex structu- res in function families. Linear Algebra Appl. 579, 463-48 (2019). https://doi.org/10.1016/j.laa.2019. 07.003
4. J.A. Conejero, C. Lizama, A. Mira-Iglesias, C. Rodero-Gómez. Visibility graphs of fractional Wu Baleanu time series. J. Differ. Eq. Appl. 25(9-10), 1321-1331. https://doi.org/10.1080/10236198.2019.1619714
5. J.A. Conejero, C. Lizama, M. Murillo-Arcila, and J.B. Seoane-Sepúlveda. Well posedness for abstract dege- nerate third order equations with infinite delay. Israel Math. J. 229:1, 219-254 (2019). https://doi.org/ 10.1007/s11856-018-1796-8
6. J.A. Conejero, A. Mudayadan, J.B. Seoane-Sepúlveda. Dynamics of multidimensional Cesàro operators. Bull. Belg. Math. Soc. – Simon Stevin, 26, 1-10 (2019). Link
7. J.A. Conejero, E. Hernández-Orallo, P. Manzoni, and M. Murillo-Arcila. A SIR-based model for contact- based messaging applications supported by permanent infrastructure. Discrete Contin. Dyn. Syst. Ser. S, 12, 735-746 (2019). https://doi.org/10.3934/dcdss.2019048
8. D. Gammerman, A. Montagud, J.A. Conejero, J.F. Urchueguía, and P. Fernández de Córdoba. Large scale evaluation of differences between network-based and pairwise sequence-alignment-based methods of dendro- gram reconstruction. PLoS ONE 14(9): e0221631. https://doi.org/10.1371/journal.pone.0221631
9. M.E. Iglesias-Martinez, P. Fdez. de Córdoba, J.A. Antonino-Daviu, and J.A. Conejero. Rotor fault detection in induction motors based on time-frequency analysis using the bispectrum and the autocovariance of stray flux signals. Energies, 29, 597, (2019). https://doi.org/10.3390/en12040597
10. M.E. Iglesias-Martinez, P. Fdez. de Córdoba, J.A. Antonino-Daviu, and J.A. Conejero. Detection of nonad- jacent rotor faults in induction motors via spectral subtraction and autocorrelation of stray flux signals. IEEE Trans. Ind. Appl. 55:5, 4585-4594, (2019). https://doi.org/10.1109/TIA.2019.2917861
11. P. Linbald et al. CyanoFactory, a European consortium to develop technologies needed to advance cyano- bacteria as photoautotrophic production chassis. Algal Res. 41,101510 (2019). https://doi.org/10.1016/ j.algal.2019.101510
12. A. Mira-Iglesias, E. Navarro-Pardo, J.A. Conejero. Power-law distribution of natural visibility graphs from reaction times series. Symmetry 11,563 (2019). https://doi.org/10.3390/sym11040563
13. C. Pérez-Benito, C. Jordán, S. Morillas, and J.A. Conejero. Graph-based methods for simultaneous smoothing and sharpening of color images. J. Comp. Appl. Math. 350, 380-395 (2019). https://doi.org/10.1016/j. cam.2018.10.031
14. F.J. Pérez-Benito, P. Villacampa-Fernández, J.A. Conejero, J.M. García-Gómez, and E. Navarro-Pardo. A happiness degree predictor using the conceptual data structure for deep learning architectures. Comput Methods Programs Biomed. 168, 59-68 (2019) https://doi.org/10.1016/j.cmpb.2017.11.004
15. F.J. Pérez Benito, C. Sáez, J.A. Conejero, S. Tortajada, B. Valdivieso, J.M. García-Gómez. Temporal varia- bility analysis reveals biases in electronic health records due to hospital process reengineering interventions over seven years. PLoS ONE 14(8): e0220369. https://doi.org/10.1371/journal.pone.0220369
16. C. Rodero-Gómez, J.A. Conejero, and I. García-Fernández. Shock wave formation in compliant arteries. Evol. Eq. and Control Th. 8:1, 221-230 (2019). https://doi.org/10.3934/eect.2019012

2018

1. J. Bès, J.A. Conejero, and D. Papathanasiou. Hypercyclic algebras for convolution and composition opera- tors. J. Funct. Anal. 274:10, 2884-2905 (2018). https://doi.org/10.1016/j.jfa.2018.02.003
2. L. Bernal-González, J.A. Conejero, G. Costakis, J.B. Seoane-Sepúlveda. Multiplicative structures of hypercy- clic functions for convolution operators. J. Oper. Th. 80:1, 101-112 (2018). https://doi.org/10.7900/jot. 2017sep27.2162
3. L. Bernal-González, J.A. Conejero, M. Murillo-Arcila, J.B. Seoane-Sepúlveda. Highly tempering infinite matrices.RACSAM Rev. R. Acad. Cienc. Exactas Fís. Nat. Ser. A Mat., 112:2, 341-345 (2018). https: //doi.org/10.1007/s13398-017-0385-8
4. C.C. Chen, J.A. Conejero, M. Kostic, M. Murillo-Arcila. Dynamics on binary relations over topological spaces. Symmetry, 10, 211 (2018). https://doi.org/10.3390/sym10060211
5. D. Fuente, C. Lizama, J.F. Urchueguía, and J.A. Conejero. Estimation of the light field inside photosynthetic microorganism cultures through Mittag-Leffler functions at depleted light conditions. J. Quant. Spectrosc. Radiat. Transfer, 204, 23-26 (2018). https://doi.org/10.1016/j.jqsrt.2017.08.012
6. E. Hernández-Orallo, M. Murillo-Arcila, C.T. Calafate, J.C. Cano, J.A. Conejero, P. Manzoni. An analytical model based on population processes to characterise data dissemination in 5G opportunistic networks. IEEE Access, 6(1), 1603-1615 (2018). https://doi.org/10.1109/ACCESS.2017.2779748
7. M.E. Iglesias Martínez, J.M. García-Gómez, C. Sáez-Silvestre, P. Fernández-de-Córdoba, and J.A. Conejero. Feature extraction and similarity of movement detection during seep, based on higher order spectra and entropy of the actigraphy signal: results of the Community Health Study Hispanic /Study of Latinos. Sensors 18:12, E4310 (2018) https://doi.org/10.3390/s18124310
8. E. Navarro-Pardo, L. González-Pozo, P. Villacampa-Fernández, J.A. Conejero. Benefits of a dance group intervention on institutionalized elder people: a Bayesian network approach. Appl. Math. Nonlin. Sci. 3:2, 503-512 (2018). https://doi.org/10.2478/AMNS.2018.2.00039
9. C. Pérez-Benito, C. Jordán, S. Morillas, and J.A. Conejero. A model based on local graphs for colour images and its application for Gaussian noise smoothing. J. Comp. Appl. Math. 330, 955–964 (2018) https: //doi.org/10.1016/j.cam.2017.05.013

2017

1. J. Bès, J.A. Conejero, and D. Papathanasiou. Convolution operators and hypercyclic algebras. J. Mat. Anal. Appl. 445(2): 1232–1238, 2017. https://doi.org/10.1016/j.jmaa.2016.01.029
2. C.C. Chen, J.A. Conejero, M. Kostic, and M. Murillo-Arcila. Dynamics of multivalued linear operators. Open. Math. 15, 948–958 (2017). https://doi.org/10.1515/math-2017-0082
3. J.A. Conejero, M. Fenoy, M. Murillo-Arcila, and J.B. Seoane-Sepúlveda. Lineability within Probability Theory settings. RACSAM Rev. R. Acad. Cienc. Exactas Fís. Nat. Ser. A Mat., 111:1 ,673-684 (2017). https://doi.org/10.1007/s13398-016-0318-y
4. J.A. Conejero, C. Lizama, M. Murillo-Arcila. Chaotic semigroups from second order partial differential equations. J. Math. Anal. Appl. 456:1, 402-411 (2017). https://doi.org/10.1016/j.jmaa.2017.07.013
5. J.A. Conejero, C. Lizama, M. Murillo-Arcila, and A. Peris. Linear dynamics of semigroups generated by differential operators. Open Math. 17, 745-767 (2017). https://doi.org/10.1515/math-2017-0065
6. J.A. Conejero, J.B. Seoane-Sepúlveda, P. Sevilla Peris. Isomorphic copies of l1 for m-homogeneous non- analytic Bohnenblust–Hille polynomials. Math. Nachr., 290:2-3, 218-225 (2017). https://doi.org/10.1002/ mana.201600082
7. D. Fuente, J. Keller, J. Alberto Conejero, M. Rögner, S. Rexroth, and J.F. Urchueguía. Light distribu- tion and spectral composition within cultures of micro-algae: Quantitative modelling of the light field in photobioreactors. Algal Research, 23, 266-177 (2017).
8. C. Jordán, J.A. Gómez, and J.A. Conejero. An analysis of the influence of Graph Theory when preparing for programming contests. Mathematics, 5(1), 8, 2017. https://doi.org/10.3390/math5010008
9. C. Moret-Tatay, L.G. Lemus-Zuñiga, D. Abad Tortosa, D. Gamermann, A. Vázquez-Martínez, E. Navarro- Pardo, J.A. Conejero. Age slowing down in detection and visual discrimination under varying presentation times. Scand. Journal. Psych. 58:4, 304-311 (2017). https://doi.org/10.1111/sjop.12372
10. C. Pérez-Benito, S. Morillas, C. Jordán, J.A. Conejero. Smoothing vs. sharpening of color images – To- gether or separated. Applied Mathematics and Nonlinear Sciences 2:1, 299–316 (2017). https://doi.org/ 10.21042/AMNS.2017.1.00025

2016

1. J.A. Conejero, C. Jordán, and E. Sanabria-Codesal. An algorithm for self-organization of driverless vehicles of a car-rental service. Nonlinear Dyn. 84:107-114, 2016. https://doi.org/10.1007/s11071-015-2237-4
2. J. A. Conejero, M. Kostic, P.J. Miana, and M. Murillo-Arcila. Distributionally chaotic families of operators on Fréchet spaces. Comm. Pure Appl. Anal. 18(8):1915-1939, 2016. https://doi.org/10.3934/cpaa.2016. 15.1915
3. J.A. Conejero, C. Lizama, and M. Murillo-Arcila. On the existence of chaos for the viscous van Wijngaarden- Eringen equation. Chaos, Solitons and Fractals 89:100-104, 2016. https://doi.org/10.1016/j.chaos. 2015.10.009
4. J.A. Conejero, C. Lizama, and F. Ródenas. Dynamics of the solutions of the water hammer equations. Topology Appl. 203: 67-83, 2016. https://doi.org/10.1016/j.topol.2015.12.076
5. J.A. Conejero, F. Martínez-Giménez, A. Peris, and F. Ródenas. Chaotic asymptotic behaviour of the solutions of the Lighthill-Whitham-Richards equation. Nonlinear Dyn. 84:127-133, 2016. https://doi.org/10.1007/ s11071-015-2245-4
6. J.A. Conejero, M. Murillo-Arcila, and J.B. Seoane-Sepúlveda. Linear chaos for the Quick-Thinking-Driver model. Semigroup Forum 92: 486-493, 2016. https://doi.org/10.1007/s00233-015-9704-6
7. L. Gumaelius, M. Almqvist, A. Árnadóttir, A. Axelsson, J. A. Conejero et al. Outreach initiatives operated by universities for increasing interest in science and technology. European Journal of Engineering Education. 41(6): 589-622 (2016). https://doi.org/10.1080/03043797.2015.1121468
8. E. Hernández-Orallo, M. Murillo-Arcila, C.T. Calafate, J.C. Cano, J.A. Conejero, P. Manzoni. Analytical evaluation of the performance of contact-based messaging applications. Computer Networks, 111C, 45-54 (2016).
9. A. Mira-Iglesias, J.A. Conejero, and E. Navarro-Pardo. Natural visibility graphs for diagnosing attention deficit hyperactivity disorder (ADHD). Elec. Not. Disc. Math. 54:337-342, 2016. https://doi.org/10. 1016/j.endm.2016.09.058

2015

1. C. Bachiller Martín y J.A. Conejero. Telecochips: Promoviendo la Ingeniería en Telecomunicación entre los jóvenes estudiantes. IEEE VAEP-RITA 3(2): 68-75, 2015.
2. X. Barrachina, J.A. Conejero, M. Murillo-Arcila, and J.B. Seoane-Sepúlveda. Distributional chaos for the forward and backward control traffic model. Linear Algebra Appl. 479:202–215, 2015. https://doi.org/10. 1016/j.laa.2015.04.010
3. F. Bastin, J.A. Conejero, C. Esser and J.B. Seoane-Sepúlveda. Algebrability and nowhere Gevrey differen- tiability. Israel Math. Journal 125:127–143 (2015). https://doi.org/10.1007/s11856-014-1104-1
4. J.A. Conejero, J.P. García-Sabater, J. Maheut, and J. Marín-García. The Praktikum UPV Campus: Stret- ching closer ties between research at the university and students in secondary school: El Campus Praktikum UPV: Estrechando lazos entre la investigación en la universidad y los estudiantes preuniversitarios Working Papers on Operations Management 6(2): 64-75, 2015.
5. J.A. Conejero, C. Jordán, and E. Sanabria Codesal. A tree-based model for setting optimal train fare zones Math. Probl. Eng., Volume 2014, Article ID 384321, 11 pages http://doi.org/10.1155/2014/384321
6. J.A. Conejero, C. Lizama, and F. Ródenas. Chaotic behaviour of the solutions of the Moore-Gibson- Thompson equation. Appl. Math. Inf. Sci. 9(5):2233–2238, 2015.
7. J.A. Conejero, G.A. Muñoz-Fernández, M. Murillo and J.B. Seoane-Sepúlveda. Smooth functions with un- countably many zeros. Bull. Belg. Math. Soc. Simon-Stevin 22:1–5, 2015.
8. J.A. Conejero, F. Ródenas, and M. Trujillo. Chaos for the hyperbolic bioheat equation. Discrete Contin. Dyn. Syst. Ser. A 35(2), 653–668, 2015. http://doi.org/10.3934/dcds.2015.35.653

2014

1. J. Bès and J.A. Conejero An extension of hypercyclicity for N-linear operators. Abstr. Appl. Anal., Volume 2014, Article ID 609873, 11 pages http://doi.org/10.1155/2014/609873
2. J.A. Conejero, P. Jiménez-Rodríguez, G.A. Muñoz-Fernández, and J.B. Seoane-Sepúlveda When the Identity Theorem “Seems” to fail. Amer. Math. Monthly 121(1):60-68, 2014. http://doi.org/10.4169/amer.math. monthly.121.01.060
3. J.A. Conejero, C. Jordán, and E. Sanabria Codesal. An iterative algorithm for the management of an electric car-rental service J. Appl. Math., Volume 2014, Article ID 483734, 11 pages http://doi.org/10.1155/2014/ 483734
4. E. García-Félix, J.A. Conejero, and J.L. Díez. La entrada en la Universidad: un reto para la orientación académica. Revista de Docencia Universitaria 12(2): 255–280, 2014.
5. D. Gammerman, A. Montagud, J.A. Conejero, J.F. Urchueguía, and P. Fernández de Córdoba. New approach for phylogenetic tree recovery based on genome-scale metabolic networks. J. Comput. Biol., 21(7): 508–519, 2014.

2012

X. Barrachina and J. A. Conejero Devaney chaos and distributional chaos in the solution of certain partial differential equations. Abstr. Appl. Anal., Volume 2012, Article ID 457019, 11 pages https://doi.org/10. 1155/2012/457019

2011

1. X. Barrachina, J. A. Conejero, and E. García-Félix. A freshmen mentoring program at the Universitat Politèc- nica de València over the period 2000-2010 Journal of Industrial Engineering and Management, 4(1):146–162, 2011. https://doi.org/10.3926/jiem.2011.v4n1.p146-162
2. J. A. Conejero and F. Martínez-Giménez Chaotic differential operators. RACSAM Rev. R. Acad. Cienc. Exactas Fís. Nat. Ser. A Mat., 105:423–431, 2011.

2010

1. R. Aron, J. A. Conejero, A. Peris, and J. B. Seoane-Sepúlveda. Uncountably generated algebras of everywhere surjective functions. Bull. Belg. Math. Soc. Simon-Stevin, 17(3):571–575, 2010.
2. J. A. Conejero, A. Peris, and M. Trujillo. Chaotic asymptotic behaviour of the hyperbolic heat transfer equation solutions. Internat. J. Bifur. Chaos Appl. Sci. Engrg., 20(9), 2943–2947, 2010.
3. J. A. Conejero and E. M. Mangino. Hypercyclic C0-semigroups generated by Ornstein-Uhlenbeck operators. Mediterr. J. Math., 7(1):101–109, 2010.
4. J. A. Conejero and V. Müller. On the universality of multipliers on H(C). J. Aprox. Th., 162, 1025–1032, 2010.

2009

J. A. Conejero and A. Peris. Hypercyclic translation C0-semigroups on complex sectors. Discrete Contin. Dyn. Syst., 25(4):1195–1208, 2009.

2007

1. R. M. Aron, J. A. Conejero, A. Peris, and J. B. Seoane-Sepúlveda. Powers of hypercyclic functions for some classical hypercyclic operators. Integral Equations Operator Theory, 58(4):591–596, 2007.
2. J. A. Conejero. Enlargements of operators between locally convex spaces. RACSAM Rev. R. Acad. Cienc. Exactas Fís. Nat. Ser. A Mat., 101(1):45–50, 2007.
3. J. A. Conejero. On the existence of transitive and topologically mixing semigroups. Bull. Belg. Math. Soc. Simon-Stevin, 14(3):463–471, 2007.
4. J. A. Conejero, V. Müller, and A. Peris. Hypercyclic behaviour of operators in a hypercyclic C0-semigroup. J. Funct. Anal., 244(1):342–348, 2007.
5. J. A. Conejero and A. Peris. Chaotic translation semigroups. Discrete Contin. Dyn. Syst., suppl.(5):269–276, 2007.

2006

J. Bès and J. A. Conejero. Hypercyclic subspaces in omega. J. Math. Anal. Appl., 316(1):16–23, 2006.

2005

1. T. Bermúdez, A. Bonilla, J. A. Conejero, and A. Peris. Hypercyclic, topologically mixing and chaotic semi- groups on Banach spaces. Studia Math., 170(1):57–75, 2005.
2. J. A. Conejero and A. Peris. Linear transitivity criteria. Topology Appl., 153(5-6):767–773, 2005.

2001

1. J. Bonet and J. A. Conejero. The sets of monomorphisms and almost open operators between locally convex spaces. Proc. Amer. Math. Soc., 129(12):3683–3690, 2001.
2. J. Bonet and J. A. Conejero. Duality for monomorphisms and almost open operators between locally convex spaces. Bull. Soc. Roy. Sci. Liège, 70(4-6):183–193 (2002), 2001. Hommage à Pascal Laubin.