David Quintana

36 papers and 400 indexed citations i.

David Quintana has authored 36 papers that have received a total of 400 indexed citations. This includes 21 papers in Management Science and Operations Research, 16 papers in Artificial Intelligence and 8 papers in Computational Theory and Mathematics. The topics of these papers are Stock Market Forecasting Methods (12 papers), Metaheuristic Optimization Algorithms Research (9 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). David Quintana is often cited by papers focused on Stock Market Forecasting Methods (12 papers), Metaheuristic Optimization Algorithms Research (9 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers) and collaborates with scholars based in Spain, Ireland and France. David Quintana's co-authors include Pedro Isasi, Yago Sáez, Alejandro Cervantes, Francisco Luna and Inés M. Galván and has published in prestigious journals such as Expert Systems with Applications, Sensors and Information Sciences