Alberto Fernández

Active 1966–2026

Also published as
Alberto Fernandez
375
Papers
36,304
Citations
83
h-index
234
i10-index

Citations

Citations per year for Alberto Fernández1969: 3 citations1972: 1 citations1973: 1 citations1982: 1 citations1984: 1 citations1986: 2 citations1988: 1 citations1989: 2 citations1990: 1 citations1993: 1 citations1994: 2 citations1995: 3 citations1996: 1 citations1997: 4 citations1998: 2 citations1999: 1 citations2000: 6 citations2001: 10 citations2002: 9 citations2003: 29 citations2004: 25 citations2005: 37 citations2006: 40 citations2007: 66 citations2008: 114 citations2009: 156 citations2010: 230 citations2011: 347 citations2012: 425 citations2013: 514 citations2014: 700 citations2015: 938 citations2016: 924 citations2017: 1,199 citations2018: 1,252 citations2019: 1,793 citations2020: 2,213 citations2021: 2,219 citations2022: 2,041 citations2023: 1,783 citations2024: 2,081 citations2025: 1,478 citations2026: 293 citations1970–1971: no citations, so these years are not shown1974–1981: no citations, so these years are not shown1983: no citations, so this year is not shown1985: no citations, so this year is not shown1987: no citations, so this year is not shown1991–1992: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 3,866 citing papers, 15.6% of this breakdownUnited States: 2,635 citing papers, 10.6% of this breakdownSpain: 1,988 citing papers, 8% of this breakdownUnited Kingdom: 1,484 citing papers, 6% of this breakdownIndia: 1,110 citing papers, 4.5% of this breakdownItaly: 950 citing papers, 3.8% of this breakdownCanada: 872 citing papers, 3.5% of this breakdownGermany: 689 citing papers, 2.8% of this breakdownAustralia: 632 citing papers, 2.5% of this breakdownFrance: 544 citing papers, 2.2% of this breakdownBrazil: 533 citing papers, 2.1% of this breakdownPoland: 521 citing papers, 2.1% of this breakdown
0%15.6%Other 36.3%

Fields

  • Computer Science52.7%
  • Medicine17.9%
  • Engineering6.6%
  • Neuroscience5.4%
  • Biochemistry, Genetics and Molecular Biology3.9%
  • Decision Sciences2.7%
  • Other10.8%

Topics

  • Imbalanced Data Classification Techniques7.3%
  • Machine Learning and Data Classification3%
  • Anomaly Detection Techniques and Applications2.9%
  • Diabetes Treatment and Management2.5%
  • Metaheuristic Optimization Algorithms Research2.2%
  • Electricity Theft Detection Techniques2.1%
  • Other80%

Coauthors

All papers

Open in search
  1. SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary

    Authors: , , , - Journal of Artificial Intelligence Research, J. Artif. Intell. Res. 2018 cited by 2,134

  2. Dulaglutide and cardiovascular outcomes in type 2 diabetes (REWIND): a double-blind, randomised placebo-controlled trial

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Ernesto Muñoz, Valdis Pīrāgs, Nana Pogosova, Peter Raubenheimer, Jonathan E. Shaw, Wayne Huey‐Herng Sheu, Theodora Temelkova‐Kurktschiev, Mercedes Abella, Andrea Alebuena, Sandra Almagro, Eduardo Amoroso, Paula Anadon, Elizabeth Andreu, Guillermo Aristimuño, Maria Arzadun, María Antonietta Barbieri, Raúl Barcudi, Ines Bartolacci, Gabriel Bolobanich, Anselmo P. Bordonava, Miguel Bustamante Labarta, B. Bustos, Alberto Caccavo, Alejandra Camino, María del Rocío Cantero, Maria Carignano, Luis R Cartasegna, Marcela Cipullo, Víctor Commendatore, Victoria Conosciuto, Osvaldo Costamagna, Claudia A. Crespo, Jose Cuello, Carlos Alberto Cuneo, Sandra Cusimano, Sofia Dean, Claudio Fabián Dituro, Andrea Domínguez, Miguel Farah, Alberto Fernandez, Florencia Fernandez, Adriana Cristina Ferrari, Patricia Flammia, José Antonio Fuentealba, Karina Beatriz Gallardo, C. Perez Garcia, Ruben Garcia Duran, Marcelo Garrido, Rodolfo Gavícola, Claudio Gerbaudo, Graciela Gilli, Ana Paula Giotto, Pedro Godoy Bolzán, Oscar Gómez Vilamajó, Fernando Guerlloy, Cristian Guridi, Narcisa Gutierrez Garrido, Eduardo Hasbani, Sonia Hermida, Miguel Hominal, Adrian D. Hrabar, Adrián Ingaramo, Alejandra Izzicupo, Mario Krynski, Mariana Lagrutta, Paulina Virginia Lanchiotti, Maria Langhe, Veronica Leonard, Javier Llanos, Ricardo López Santi and 1,358 more - The Lancet 2019 cited by 3,040

  3. Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power

    Authors: , , , - Information Sciences, Inf. Sci. 2009 cited by 2,194

  4. A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches

    Authors: , , , , - IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews), IEEE Trans. Syst. Man Cybern. Part C 2011 cited by 2,803

  5. Learning from Imbalanced Data Sets

    Authors: , , , , , - IEEE Symposium on Security and Privacy, SP 2018 cited by 1,312

  6. KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework

    Authors: , , , , , , - Soft Computing 2011 cited by 2,355

  7. An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics

    Authors: , , , , - Information Sciences, Inf. Sci. 2013 cited by 1,581

  8. Dulaglutide and renal outcomes in type 2 diabetes: an exploratory analysis of the REWIND randomised, placebo-controlled trial

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Ernesto Muñoz, Valdis Pīrāgs, Nana Pogosova, Peter Raubenheimer, Jonathan E. Shaw, Wayne Huey‐Herng Sheu, Theodora Temelkova‐Kurktschiev, Mercedes Abella, Andrea Alebuena, Sandra Almagro, Eduardo Amoroso, Paula Anadon, Elizabeth Andreu, Guillermo Aristimuño, Maria Arzadun, María Antonietta Barbieri, Raúl Barcudi, Ines Bartolacci, Gabriel Bolobanich, Anselmo P. Bordonava, Miguel Bustamante Labarta, B. Bustos, Alberto Caccavo, Alejandra Camino, María del Rocío Cantero, Maria Carignano, Luis R Cartasegna, Marcela Cipullo, Víctor Commendatore, Victoria Conosciuto, Osvaldo Costamagna, Claudia A. Crespo, Jose Cuello, Carlos Alberto Cuneo, Sandra Cusimano, Sofia Dean, Claudio Fabián Dituro, Andrea Domínguez, Miguel Farah, Alberto Fernandez, Florencia Fernandez, Adriana Cristina Ferrari, Patricia Flammia, José Antonio Fuentealba, Karina Beatriz Gallardo, C. Perez Garcia, Ruben Garcia Duran, Marcelo Garrido, Rodolfo Gavícola, Claudio Gerbaudo, Graciela Gilli, Ana Paula Giotto, Pedro Godoy Bolzán, Oscar Gómez Vilamajó, Fernando Guerlloy, Cristian Guridi, Narcisa Gutierrez Garrido, Eduardo Hasbani, Sonia Hermida, Miguel Hominal, Adrian D. Hrabar, Adrián Ingaramo, Alejandra Izzicupo, Mario Krynski, Mariana Lagrutta, Paulina Virginia Lanchiotti, Maria Langhe, Veronica Leonard, Javier Llanos, Ricardo López Santi and 1,358 more - The Lancet 2019 cited by 629

  9. FW-SMOTE: A feature-weighted oversampling approach for imbalanced classification

    Authors: , , , - Pattern Recognition, Pattern Recognit. 2021 cited by 172

  10. An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes

    Authors: , , , , - Pattern Recognition, Pattern Recognit. 2011 cited by 765

  11. Measures of resting state EEG rhythms for clinical trials in Alzheimer's disease: Recommendations of an expert panel

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Sanjeev Kumar, Alice Lam, Lew Lim, Roberta Lizio, David López, Susanna Lopez, Brendan P. Lucey, Fernando Maestú, William J. McGeown, Ian G. McKeith, Davide Vito Moretti, Flavio Nobili, Giuseppe Noce, John Olichney, Marco Onofrj, Ricardo S. Osorio, Mario A. Parra, Tarek K. Rajji, Petra Ritter, Andrea Soricelli, Fabrizio Stocchi, Ioannis Tarnanas, John‐Paul Taylor, Stefan Teipel, Federico Tucci, Mitchell Valdés‐Sosa, Pedro A. Valdés‐Sosa, Marco Weiergräber, Görsev Yener, Bahar Güntekin - Alzheimer s & Dementia 2021 cited by 204

  12. A unifying view of class overlap and imbalance: Key concepts, multi-view panorama, and open avenues for research

    Authors: , , , , - Information Fusion, Inf. Fusion 2022 cited by 93

  13. On the joint-effect of class imbalance and overlap: a critical review

    Authors: , , , , , , - Artificial Intelligence Review, Artif. Intell. Rev. 2022 cited by 108

  14. Angiotensin Receptor–Neprilysin Inhibition in Acute Myocardial Infarction

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Eugene Braunwald - New England Journal of Medicine 2021 cited by 295

  15. A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability

    Authors: , , , - Soft Computing, Soft Comput. 2008 cited by 681

  16. What electrophysiology tells us about Alzheimer's disease: a window into the synchronization and connectivity of brain neurons

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Michael J. Rowan, Fabrizio Stocchi, Zbigniew M Struzik, Heikki Tanila, Stefan Teipel, John‐Paul Taylor, Marco Weiergräber, Görsev Yener, Tracy L. Young‐Pearse, Wilhelmus Drinkenburg, Fiona Randall - Neurobiology of Aging 2019 cited by 279

  17. Current state of knowledge on the prevalence of neurodevelopmental disorders in childhood according to the DSM-5: a systematic review in accordance with the PRISMA criteria

    Authors: , , , , , , , - Child and Adolescent Psychiatry and Mental Health 2022 cited by 320

  18. KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining

    Authors: , , , , , , , , , - International Journal of Computational Intelligence Systems, Int. J. Comput. Intell. Syst. 2017 cited by 284

  19. Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to?

    Authors: , , , , - IEEE Computational Intelligence Magazine, IEEE Comput. Intell. Mag. 2019 cited by 225

  20. Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches

    Authors: , , , , - Knowledge-Based Systems, Knowl. Based Syst. 2013 cited by 383

  21. EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling

    Authors: , , , - Pattern Recognition, Pattern Recognit. 2013 cited by 424

  22. Prevalence of pituitary adenomas: a community‐based, cross‐sectional study in Banbury (Oxfordshire, UK)

    Authors: , , - Clinical Endocrinology 2009 cited by 1,126

  23. Efficacy and safety of the CVnCoV SARS-CoV-2 mRNA vaccine candidate in ten countries in Europe and Latin America (HERALD): a randomised, observer-blinded, placebo-controlled, phase 2b/3 trial

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Mirjam Schunk, Alexandra Sierra Garcia, Itziar Vergara, Thomas Verstraeten, Marisa Vico, Lidia Oostvogels, Luciano Lovesio, Fabián Diez, Franco Sebastián Grazziani, María Cristina Ganaha, Viviana Judith Zalatnik, Ricardo Julio Dittrich, Lidia Espínola, Sandra Lambert, Andrea Longhi, Claudia Del Vecchio, María Mastruzzo, Alberto Fernandez, Silvina Borchowiek, Roberto Potito, Rodolfo Andrés Ahuad Guerrero, Fernando Martin Guardiani, Sofia Castella, Mónica Foccoli, Aldana Pedernera, Ariel Braida, Virginia Durigan, Christian L. Martella, Antonela Bobat, Bruno Emilio Boggia, Sergio Andrés Nemi, Javier Gerardo Tartaglione, Fabián Piedimonte, Jessie De Bie, Humberto Reynales, Paula Andrea Rodríguez Ordóñez, J M Cruz, Leonardo Bautista Toloza, M. Gonzalez, Adriana Pilar Zambrano Ochoa, Iñigo Prieto Pradera, Daniela Torres Hernandez, Diana Patricia Mazo Elorza, Maria Fernanda Collazos Lennis, Beatriz Vanegas Dominguez, Lina Marianur Solano Mosquera, Rolf Fendel, Wim A. Fleischmann, Erik Koehne, Andrea Kreidenweiss, Carsten Köhler, Meral Esen, Carola Horn, Sandra M. Eberts, Arne Kroidl, Kristina Huber, Verena Thiel, Sonia Mazara Rosario, G Uviedo Reyes, Laura Rivera, Yeycy Donastorg, Flavia Lantigua, Dania Torres Almanzar, Rosalba Candelario, Lourdes Peña Méndez, Nadia Rosario Gomez, Antonio Portolés, Ana Ascaso, Leonor Laredo, Maria Jesus Bustinduy Odriozola and 77 more - The Lancet Infectious Diseases 2021 cited by 175

  24. Initiation of Sacubitril/Valsartan in Haemodynamically Stabilised Heart Failure Patients in Hospital or Early After Discharge: Primary Results of the Randomised TRANSITION Study

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , - European Journal of Heart Failure 2019 cited by 352