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Pedro Larrañaga

Active 1993–2027

314
Papers
21,531
Citations
56
h-index
182
i10-index

Citations

Citations per year for Pedro Larrañaga1970: 1 citations1972: 1 citations1986: 1 citations1992: 1 citations1993: 2 citations1996: 5 citations1997: 12 citations1998: 5 citations1999: 17 citations2000: 27 citations2001: 57 citations2002: 142 citations2003: 115 citations2004: 167 citations2005: 219 citations2006: 325 citations2007: 310 citations2008: 401 citations2009: 426 citations2010: 482 citations2011: 560 citations2012: 602 citations2013: 755 citations2014: 693 citations2015: 687 citations2016: 633 citations2017: 601 citations2018: 694 citations2019: 826 citations2020: 884 citations2021: 837 citations2022: 633 citations2023: 590 citations2024: 522 citations2025: 370 citations2026: 92 citations2027: 2 citations1971: no citations, so this year is not shown1973–1985: no citations, so these years are not shown1987–1991: no citations, so these years are not shown1994–1995: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 1,995 citing papers, 15% of this breakdownChina: 1,924 citing papers, 14.5% of this breakdownSpain: 1,123 citing papers, 8.5% of this breakdownUnited Kingdom: 901 citing papers, 6.8% of this breakdownIndia: 478 citing papers, 3.6% of this breakdownGermany: 462 citing papers, 3.5% of this breakdownFrance: 410 citing papers, 3.1% of this breakdownAustralia: 388 citing papers, 2.9% of this breakdownCanada: 373 citing papers, 2.8% of this breakdownItaly: 352 citing papers, 2.7% of this breakdownSouth Korea: 301 citing papers, 2.3% of this breakdownJapan: 268 citing papers, 2% of this breakdown
0%15%Other 32.3%

Institutions

Fields

  • Computer Science50.7%
  • Biochemistry, Genetics and Molecular Biology17.9%
  • Engineering9.2%
  • Medicine6.7%
  • Neuroscience4.8%
  • Decision Sciences1.9%
  • Other8.8%

Topics

  • Metaheuristic Optimization Algorithms Research5%
  • Gene expression and cancer classification4.3%
  • Evolutionary Algorithms and Applications3.9%
  • Face and Expression Recognition3.1%
  • Bayesian Modeling and Causal Inference2.9%
  • Machine Learning and Data Classification2.6%
  • Other78.2%

Coauthors

All papers

Open in search
  1. A review of feature selection techniques in bioinformatics

    Authors: Yvan Saeys, Iñaki Inza, Pedro Larrañaga - Bioinformatics, Bioinform. 2007 cited by 5,289

  2. A survey on multi-output regression

    Authors: Hanen Borchani, Gherardo Varando, Concha Bielza, Pedro Larrañaga - Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, WIREs Data Mining Knowl. Discov. 2015 cited by 649

  3. New insights into the classification and nomenclature of cortical GABAergic interneurons

    Authors: Javier DeFelipe, Pedro L. López-Cruz, Ruth Benavides‐Piccione, Concha Bielza, Pedro Larrañaga, Stewart A. Anderson, Andreas Burkhalter, Bruno Cauli, Alfonso Fairén, Dirk Feldmeyer, Gord Fishell, David Fitzpatrick, Tamás F. Freund, Guillermo González‐Burgos, Shaul Hestrin, Sean Hill, Patrick R. Hof, Z. Josh Huang, Edward G. Jones, Yasuo Kawaguchi, Zoltán F. Kisvárday, Yoshiyuki Kubota, David A. Lewis, Óscar Marín, Henry Markram, Chris J. McBain, Hanno S. Meyer, Hannah Monyer, Sacha B. Nelson, Kathleen S. Rockland, Jean Rossier, John L.R. Rubenstein, Bernardo Rudy, Massimo Scanziani, Gordon M. Shepherd, Chet C. Sherwood, Jochen F. Staiger, Gábor Tamás, Alex M. Thomson, Yun Wang, Rafael Yuste, Giorgio A. Ascoli - Nature reviews. Neuroscience 2013 cited by 857

  4. Genetic Algorithms for the Travelling Salesman Problem: A Review of Representations and Operators

    Authors: Pedro Larrañaga, Cindy M. H. Kuijpers, Roberto H. Murga, Iñaki Inza, S. Dizdarevic - Artificial Intelligence Review, Artif. Intell. Rev. 1999 cited by 820

  5. Machine learning in bioinformatics

    Authors: Pedro Larrañaga, Borja Calvo, Roberto Santana, Concha Bielza, Josu Galdiano, Iñaki Inza, José A. Lozano, Rubén Armañanzas, Guzmán Santafé, Aritz Pérez, Vı́ctor Robles - Briefings in Bioinformatics, Briefings Bioinform. 2006 cited by 868

  6. openalex_id:w2979981663

    Authors: Rafael Yuste, Michael Hawrylycz, Nadia Aalling, Argel Aguilar‐Valles, Detlev Arendt, Rubén Armañanzas, Giorgio A. Ascoli, Concha Bielza, Vahid Bokharaie, Tobias Bergmann, Irina Bystron, Marco Capogna, YoonJeung Chang, Ann M. Clemens, Christiaan P. J. de Kock, Javier DeFelipe, Sandra Esmeralda Dos Santos, Keagan Dunville, Dirk Feldmeyer, Richárd Fiáth, Gord Fishell, Angelica Foggetti, Xuefan Gao, Parviz Ghaderi, Natalia A. Goriounova, Onuyr Guentuerkuen, Kenta M. Hagihara, Vanessa Jane Hall, Moritz Helmstaedter, Suzana Herculano‐Houzel, Markus M. Hilscher, Hajime Hirase, Jens Hjerling‐Leffler, Rebecca D. Hodge, Z. Josh Huang, Rafiq Huda, Konstantin Khodosevich, Ole Kiehn, Henner Koch, Eric S. Kuebler, Malte Kühnemund, Pedro Larrañaga, Boudewijn P. F. Lelieveldt, Emma Louise Louth, Jan H. Lui, Huibert D. Mansvelder, Oscar Marin Parra, Julio Martínez-Trujillo, Homeira Moradi, Alok Nath, Maiken Nedergaard, Pavel Němec, Netanel Ofer, Ulrich Pfisterer, Samuel Pontes-Quero, William Redmond, Jean Rossier, Joshua R. Sanes, Richard H. Scheuermann, Esther Serrano‐Saiz, Jochen Steiger, Péter Somogyi, Gábor Tamás, Andreas S. Tolias, Maria Antonietta Tosches, Miguel Turrero Garcίa, Hermany Munguba Vieira, Christian Wozny, Thomas V. Wuttke, Yong Liu, Juan Yuan, Hongkui Zeng, Ed S. Lein cited by 280

  7. Discrete Bayesian Network Classifiers: A Survey

    Authors: Concha Bielza, Pedro Larrañaga - ACM Computing Surveys, ACM Comput. Surv. 2014 cited by 244

  8. Bayesian networks for interpretable machine learning and optimization

    Authors: Bojan Mihaljevic, Concha Bielza, Pedro Larrañaga - Neurocomputing 2021 cited by 109

  9. Estimation of Distribution Algorithms

    Authors: Pedro Larrañaga, José Antonio Lozano - Genetic algorithms and evolutionary computation 2002 cited by 1,266

  10. An empirical comparison of four initialization methods for the K-Means algorithm

    Authors: José M. Peña, José Antonio Lozano, Pedro Larrañaga - Pattern Recognition Letters, Pattern Recognit. Lett. 1999 cited by 867

  11. Towards a New Evolutionary Computation - Advances in the Estimation of Distribution Algorithms

    Authors: José A. Lozano, Pedro Larrañaga, Iñaki Inza, Endika Bengoetxea - Studies in fuzziness and soft computing, Towards a New Evolutionary Computation 2006 cited by 394

  12. A review on evolutionary algorithms in Bayesian network learning and inference tasks

    Authors: Pedro Larrañaga, Hossein Karshenas, Concha Bielza, Roberto Santana - Information Sciences, Inf. Sci. 2013 cited by 167

  13. Feature subset selection for data and feature streams: a review

    Authors: Carlos Villa-Blanco, Concha Bielza, Pedro Larrañaga - Artificial Intelligence Review, Artif. Intell. Rev. 2023 cited by 27

  14. Estimation of Distribution Algorithms in Machine Learning: A Survey

    Authors: Pedro Larrañaga, Concha Bielza - IEEE Transactions on Evolutionary Computation, IEEE Trans. Evol. Comput. 2023 cited by 18

  15. Bayesian classifiers based on kernel density estimation: Flexible classifiers

    Authors: Aritz Pérez Martínez, Pedro Larrañaga, Iñaki Inza - International Journal of Approximate Reasoning, Int. J. Approx. Reason. 2008 cited by 147

  16. Clustering of Data Streams With Dynamic Gaussian Mixture Models: An IoT Application in Industrial Processes

    Authors: Javier Diaz-Rozo, Concha Bielza, Pedro Larrañaga - IEEE Internet of Things Journal, IEEE Internet Things J. 2018 cited by 80

  17. Predicting dementia development in Parkinson's disease using Bayesian network classifiers

    Authors: Dinora A. Morales, Yolanda Vives‐Gilabert, Beatriz Gómez‐Ansón, Endika Bengoetxea, Pedro Larrañaga, Concha Bielza, Javier Pagonabarraga, Jaime Kulisevsky, Idoia Corcuera‐Solano, M. Delfino - Psychiatry Research Neuroimaging 2012 cited by 95

  18. Multi-Dimensional Classification with Super-Classes

    Authors: Jesse Read, Concha Bielza, Pedro Larrañaga - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2013 cited by 76

  19. Multi-dimensional classification with Bayesian networks

    Authors: Concha Bielza, Guangdi Li, Pedro Larrañaga - International Journal of Approximate Reasoning, Int. J. Approx. Reason. 2011 cited by 190

  20. Parkinson's Disease Subtypes Identified from Cluster Analysis of Motor and Non-motor Symptoms

    Authors: Jesse Mu, К. Ray Chaudhuri, Concha Bielza, Jesús de Pedro-Cuesta, Pedro Larrañaga, Pablo Martínez‐Martín - Frontiers in Aging Neuroscience 2017 cited by 133

  21. Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models

    Authors: Jorge Casajús-Setién, Concha Bielza, Pedro Larrañaga - IEEE International Conference on Cyber Security and Resilience (CSR) 2023 cited by 20

  22. The Fourth Industrial Revolution

    Authors: Pedro Larrañaga, David Atienza, Javier Díaz-Rozo, Alberto Ogbechie, Carlos Puerto-Santana, Concha Bielza - Industrial Applications of Machine Learning 2018 cited by 671

  23. Structure Learning of Bayesian Networks by Genetic Algorithms: A Performance Analysis of Control Parameters

    Authors: Pedro Larrañaga, Mikel Poza, Yosu Yurramendi, Roberto H. Murga, Cindy M. H. Kuijpers - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 1996 cited by 398

  24. Learning Bayesian network structures by searching for the best ordering with genetic algorithms

    Authors: Pedro Larrañaga, Cindy M. H. Kuijpers, Roberto H. Murga, Yosu Yurramendi - IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans, IEEE Trans. Syst. Man Cybern. Part A 1996 cited by 272