Publications
18 papers.
Sorted by citations. Areas are assigned from titles and venues, so a paper can sit in more than one. Google Scholar is unreachable right now, so this is the local list.
- 2021288 citesObjective comparison of methods to decode anomalous diffusionG. Muñoz-Gil, G. Volpe, M. A. García-March, E. Aghion, A. Argun, C. B. Hong, T. Bland, S. Bo, J. A. Conejero, et al.Nature Communications 12 (1), 6253
- 2007129 citesHypercyclic behaviour of operators in a hypercyclic C₀-semigroupJ. A. Conejero, V. Müller, A. PerisJournal of Functional Analysis 244 (1), 342–348
- 2015113 citesChaotic behaviour of the solutions of the Moore–Gibson–Thompson equationJ. A. Conejero, C. Lizama, F. RódenasApplied Mathematics & Information Sciences 9 (5), 2233–2238
- 2005112 citesHypercyclic, topologically mixing and chaotic semigroups on Banach spacesT. Bermúdez, A. Bonilla, J. A. Conejero, A. PerisStudia Mathematica 170 (1), 57–75
- 2021100 citesPotential limitations in COVID-19 machine learning due to data source variabilityC. Sáez, N. Romero, J. A. Conejero, J. M. García-GómezJournal of the American Medical Informatics Association 28 (2), 360–364
- 200963 citesHypercyclic translation C₀-semigroups on complex sectorsJ. A. Conejero, A. PerisDiscrete and Continuous Dynamical Systems – Series A 25 (4), 1195
- 202560 citesQuantitative evaluation of methods to analyze motion changes in single-particle experimentsG. Muñoz-Gil, H. Bachimanchi, J. A. Conejero, et al.Nature Communications 16 (1), 6749
- 201650 citesAn algorithm for self-organization of driverless vehicles of a car-rental serviceJ. A. Conejero, C. Jordán, E. Sanabria-CodesalNonlinear Dynamics 84 (1), 117–133
- 201645 citesLinear chaos for the Quick-Thinking-Driver modelJ. A. Conejero, F. Martínez-Giménez, A. Peris, F. RódenasSemigroup Forum 92 (2), 486–493
- 201740 citesLineability within probability theory settingsJ. A. Conejero, P. Jiménez-Rodríguez, G. A. Muñoz-Fernández, J. B. Seoane-SepúlvedaRevista RACSAM 111 (3), 673–684
- 202038 citesCommunity detection-based deep neural network architectures: a fully automated framework based on Likert-scale dataJ. Vivas-Lago, J. A. Conejero, et al.Mathematical Methods in the Applied Sciences
- 202135 citesSubphenotyping of COVID-19 patients at pre-admission towards anticipated severity stratificationL. Pruneda-Paz, J. A. Conejero, et al.medRxiv (preprint)
- 201630 citesDistributionally chaotic families of operators on Fréchet spacesJ. A. Conejero, M. Kostic, P. J. Miana, M. Murillo-ArcilaCommunications on Pure and Applied Analysis
- 201729 citesSmoothing vs. sharpening of colour images: together or separatedC. Pérez-Benito, S. Morillas, C. Jordán-Lluch, J. A. ConejeroApplied Mathematics and Nonlinear Sciences 2 (1), 299–316
- 202328 citesGramian angular fields for leveraging pretrained computer vision models on anomalous diffusion trajectoriesÒ. Garibo-i-Orts, A. Firbas, L. Sebastià, J. A. ConejeroPhysical Review E 107 (3), 034138
- 201928 citesWell-posedness for degenerate third-order equations with delay and applications to inverse problemsJ. A. Conejero, C. Lizama, M. Murillo-Arcila, J. B. Seoane-SepúlvedaIsrael Journal of Mathematics
- 201728 citesChaotic semigroups from second-order partial differential equationsJ. A. Conejero, C. Lizama, M. Murillo-ArcilaJournal of Mathematical Analysis and Applications 456 (1), 402–411
- 202127 citesOpen data science to fight COVID-19: winning the 500k XPRIZE Pandemic Response ChallengeM. Lozano, Ò. Garibo-i-Orts, E. Piñol, M. Rebollo, K. Polotskaya, M. A. García-March, J. A. Conejero, F. Escolano, N. OliverECML/PKDD