Pedro Larrañaga
Impact in
- Artificial Intelligence top 0.1%
- Metaheuristic Optimization Algorithms Research
- Bayesian Modeling and Causal Inference
- Evolutionary Algorithms and Applications
- Machine Learning and Data Classification
- Computational Theory and Mathematics top 0.2%
Papers in
-
- Bayesian Modeling and Causal Inference 84
- Machine Learning and Data Classification 29
- Bayesian Methods and Mixture Models 26
- Metaheuristic Optimization Algorithms Research 22
- Evolutionary Algorithms and Applications 20
- Co-authors
- Iñaki InzaYvan SaeysConcha BielzaJosé A. LozanoJosé M. PeñaRoberto SantanaC.M.H. KuijpersEndika Bengoetxea
- Journals
- International Journal of Approximate Reasoning (15 papers)Artificial Intelligence in Medicine (10 papers)Pattern Recognition Letters (9 papers)Neurocomputing (7 papers)International Journal of Intelligent Systems (6 papers)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Pedro Larrañaga
227 papers receiving 11.3k citations
Hit Papers
Peers
Comparison fields: 5 of 219
- Artificial Intelligence 5.5k
- Computational Theory and Mathematics 1.3k
- Computer Vision and Pattern Recognition 1.6k
- Health Information Management 276
- Industrial and Manufacturing Engineering 583
Countries citing papers authored by Pedro Larrañaga
This map shows the geographic impact of Pedro Larrañaga's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pedro Larrañaga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro Larrañaga more than expected).
Fields of papers citing papers by Pedro Larrañaga
This network shows the impact of papers produced by Pedro Larrañaga. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pedro Larrañaga. The network helps show where Pedro Larrañaga may publish in the future.
Co-authors
The 25 scholars most cited alongside Pedro Larrañaga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 3 | |
| 2 | 2023 | 15 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 3 | |
| 5 | 2017 | 7 | |
| 6 | Learning Tractable Multidimensional Bayesian Network Classifiers | 2016 | 1 |
| 7 | Decision boundary for discrete Bayesian network classifiers | 2015 | 16 |
| 8 | 2013 | 6 | |
| 9 | 2011 | 88 | |
| 10 | Mateda-2.0: A MATLAB Package for the Implementation and Analysis of Estimation of Distribution Algorithms | 2010 | 1 |
| 11 | 2009 | 16 | |
| 12 | 2008 | 67 | |
| 13 | Analyzing the PBIL Algorithm by Means of Discrete Dynamical Systems | 2007 | 16 |
| 14 | Towards a New Evolutionary Computation: Advances on Estimation of Distribution Algorithms (Studies in Fuzziness and Soft Computing) | 2006 | 214 |
| 15 | 2006 | 87 | |
| 16 | GA-EDA:遺伝的アルゴリズムと分布推定アルゴリズムを用いたハイブリッド進化的アルゴリズム | 2004 | 1 |
| 17 | Algoritmos de Estimación de Distribuciones en Problemas de Optimización Combinatoria | 2003 | 4 |
| 18 | Unsupervised Learning of Bayesian Networks Via Estimation of Distribution Algorithms. | 2002 | 3 |
| 19 | Geographical Clustering of Cancer Incidence by Means of Bayesian Networks and Conditional Gaussian Networks | 2001 | 3 |
| 20 | 2000 | 157 |
About Pedro Larrañaga
Pedro Larrañaga is a scholar working on Artificial Intelligence, Statistics and Probability, Signal Processing, Biophysics and Cognitive Neuroscience, having authored 231 papers that have together received 11.9k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (84 papers), Machine Learning and Data Classification (29 papers), Bayesian Methods and Mixture Models (26 papers), Gene expression and cancer classification (22 papers), Metaheuristic Optimization Algorithms Research (22 papers), Neural dynamics and brain function (21 papers), Evolutionary Algorithms and Applications (20 papers) and Data Management and Algorithms (15 papers). The work is most often cited by research in Artificial Intelligence (5.5k citations), Computational Theory and Mathematics (1.3k citations), Computer Vision and Pattern Recognition (1.6k citations), Health Information Management (276 citations) and Industrial and Manufacturing Engineering (583 citations). Pedro Larrañaga has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Iñaki Inza, Yvan Saeys, Concha Bielza, José A. Lozano, José M. Peña, Roberto Santana, C.M.H. Kuijpers, Endika Bengoetxea, Rosa Blanco and Hanen Borchani. Their work appears in journals such as International Journal of Approximate Reasoning, Artificial Intelligence in Medicine, Pattern Recognition Letters, Neurocomputing and International Journal of Intelligent Systems.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.