| A global model for bankruptcy prediction D Alaminos, A Del Castillo, MÁ Fernández PloS one 11 (11), e0166693, 2016 | 116 | 2016 |
| Deep Learning Methods for Modeling Bitcoin Price P Lamothe-Fernández, D Alaminos, P Lamothe-López, ... Mathematics 8 (8), 1245, 2020 | 51 | 2020 |
| Why do football clubs fail financially? A financial distress prediction model for European professional football industry D Alaminos, MÁ Fernández PloS one 14 (12), e0225989, 2019 | 45 | 2019 |
| Financial Performance Analysis in European Football Clubs D Alaminos, I Esteban, MA Fernández-Gámez Entropy 22 (9), 1056, 2020 | 38 | 2020 |
| Quantum Computing and Deep Learning Methods for GDP Growth Forecasting D Alaminos, MB Salas, MA Fernández-Gámez Computational Economics 59, 803–829, 2022 | 35 | 2022 |
| European country heterogeneity in financial distress prediction: An empirical analysis with macroeconomic and regulatory factors MÁ Fernández-Gámez, JAC Soria, JAC Santos, D Alaminos Economic Modelling 88, 398-407, 2020 | 34 | 2020 |
| Currency crises prediction using deep neural decision trees D Alaminos, R Becerra-Vicario, MÁ Fernández-Gámez, AJ Cisneros Ruiz Applied Sciences 9 (23), 5227, 2019 | 23 | 2019 |
| Data mining for municipal financial distress prediction D Alaminos, SM Fernández, F García, MA Fernández Lecture Notes in Computer Science 10933, 296-308, 2018 | 22 | 2018 |
| Taxi and urban mobility studies: A bibliometric analysis E Vizuete-Luciano, M Guillén-Pujadas, D Alaminos, JM Merigó-Lindalh Transport Policy 133, 144-155, 2023 | 13 | 2023 |
| Forecasting Stock Market Crashes via Real-Time Recession Probabilities: A Quantum Computing Approach D Alaminos, MB Salas, MA Fernandez-Gamez Fractals-Complex Geometry, Patterns, and Scaling in Nature and Society 30 …, 2022 | 10 | 2022 |
| Quantum Neural Networks for Forecasting Inflation Dynamics D Alaminos, I Esteban, MB Salas, AM Callejón Journal of Scientific & Industrial Research 79 (2), 103-106, 2020 | 8 | 2020 |
| Predicting sovereign debt crises with fuzzy decision trees D Alaminos, SM Fernández, PM Neves, JAC Santos Journal of Scientific & Industrial Research 78 (11), 733-737, 2019 | 8 | 2019 |
| A global prediction model for sudden stops of capital flows using decision trees MB Salas, D Alaminos, MA Fernández, F López-Valverde Plos one 15 (2), e0228387, 2020 | 6 | 2020 |
| Passengers’ behavioural intentions towards cruise port of call: Evidence from senior tourists L López-Marfil, MA Fernández-Gámez, JA Campos-Soria, D Alaminos Anatolia 32 (4), 628-642, 2021 | 5 | 2021 |
| Forecasting Foreign Exchange Reserves using Bayesian Model Averaging-Naïve Bayes B Salas, D Alaminos, MA Fernández-Gámez, Á Callejón The Singapore Economic Review, 1-22, 2020 | 5 | 2020 |
| Deep learning methods for modeling Bitcoin price. Mathematics 8 (8), 1245 P Lamothe-Fernandez, D Alaminos, P Lamothe-Lopez, ... | 5 | 2020 |
| Estimating Optimal Military Spending Policy in DSGE Model: Empirical vs Theoretical Approach D Alaminos, R Becerra-Vicario, AJ Cisneros-Ruiz, MÁ Solano-Sánchez Journal of Scientific & Industrial Research 79 (3), 193-196, 2020 | 5 | 2020 |
| Predicting going concern opinion for hotel industry using classifiers combination. MÁ Fernández, JRS Serrano, DA Aguilera, G Casado International journal of scientific management and tourism 4 (1), 91-106, 2018 | 5 | 2018 |
| What is going on with studies on financial speculation? Evidence from a bibliometric analysis D Alaminos, M Guillén-Pujadas, E Vizuete-Luciano, JM Merigó International Review of Economics & Finance 89 (B), 429-445, 2024 | 4 | 2024 |
| Going concern opinion prediction for football clubs: Evidence from the spanish league D Alaminos, A Castillo, MÁ Fernández Contaduría y administración 65 (1), 2020 | 4 | 2020 |
