Endika Bengoetxea

1.5k total citations
18 papers, 944 citations indexed

About

Endika Bengoetxea is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Endika Bengoetxea has authored 18 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Endika Bengoetxea's work include Bayesian Modeling and Causal Inference (5 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Evolutionary Algorithms and Applications (4 papers). Endika Bengoetxea is often cited by papers focused on Bayesian Modeling and Causal Inference (5 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Evolutionary Algorithms and Applications (4 papers). Endika Bengoetxea collaborates with scholars based in Spain, France and Brazil. Endika Bengoetxea's co-authors include Pedro Larrañaga, José A. Lozano, Iñaki Inza, Isabelle Bloch, Roberto M. César, Gualberto Buela‐Casal, Borja Calvo, Rubén Armañanzas, Aymeric Perchant and Concha Bielza and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and Psychiatry Research.

In The Last Decade

Endika Bengoetxea

17 papers receiving 903 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Endika Bengoetxea Spain 13 434 166 133 92 85 18 944
Na Zou United States 17 376 0.9× 62 0.4× 149 1.1× 53 0.6× 64 0.8× 70 1.0k
Ahmed M. Anter Egypt 18 463 1.1× 73 0.4× 307 2.3× 54 0.6× 32 0.4× 52 1.1k
Judith E. Dayhoff United States 13 213 0.5× 40 0.2× 46 0.3× 143 1.6× 76 0.9× 43 880
Mohammad Ali Balafar Iran 20 648 1.5× 87 0.5× 792 6.0× 212 2.3× 59 0.7× 90 1.6k
Zhengyang Wang United States 15 449 1.0× 57 0.3× 316 2.4× 80 0.9× 21 0.2× 52 946
Pavel Lyakhov Russia 15 305 0.7× 123 0.7× 240 1.8× 32 0.3× 30 0.4× 98 945
Mohak Shah Canada 7 502 1.2× 61 0.4× 129 1.0× 103 1.1× 12 0.1× 10 1.0k
Fikret Gürgen Türkiye 16 475 1.1× 45 0.3× 109 0.8× 33 0.4× 26 0.3× 78 1.2k
Tomoyuki Hiroyasu Japan 18 310 0.7× 288 1.7× 152 1.1× 53 0.6× 72 0.8× 162 1.1k

Countries citing papers authored by Endika Bengoetxea

Since Specialization
Citations

This map shows the geographic impact of Endika Bengoetxea'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 Endika Bengoetxea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Endika Bengoetxea more than expected).

Fields of papers citing papers by Endika Bengoetxea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Endika Bengoetxea. 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 Endika Bengoetxea. The network helps show where Endika Bengoetxea may publish in the future.

Co-authorship network of co-authors of Endika Bengoetxea

This figure shows the co-authorship network connecting the top 25 collaborators of Endika Bengoetxea. A scholar is included among the top collaborators of Endika Bengoetxea based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Endika Bengoetxea. Endika Bengoetxea is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Bengoetxea, Endika & Gualberto Buela‐Casal. (2013). The new multidimensional and user-driven higher education ranking concept of the European Union. International Journal of Clinical and Health Psychology. 13(1). 67–73. 30 indexed citations
2.
Vives‐Gilabert, Yolanda, Beatriz Gómez‐Ansón, Endika Bengoetxea, et al.. (2012). Predicting dementia development in Parkinson's disease using Bayesian network classifiers. Psychiatry Research Neuroimaging. 213(2). 92–98. 69 indexed citations
3.
Bengoetxea, Endika. (2012). Higher Education Governance Reform in Practice. Matching Institutional Implementation Practices and Policies. RUSC Universities and Knowledge Society Journal. 9(2). 7 indexed citations
4.
Bengoetxea, Endika, et al.. (2011). Quality Assurance in Lifelong Learning. ENQA Workshop Report 18..
5.
Bengoetxea, Endika, et al.. (2010). Optimal row and column ordering to improve table interpretation using estimation of distribution algorithms. Journal of Heuristics. 17(5). 567–588. 6 indexed citations
6.
Fuente, José de la, et al.. (2010). Interconnection between biological abnormalities in borderline personality disorder: Use of the Bayesian networks model. Psychiatry Research. 186(2-3). 315–319. 14 indexed citations
7.
Bielza, Concha, et al.. (2009). Multidimensional statistical analysis of the parameterization of a genetic algorithm for the optimal ordering of tables. Expert Systems with Applications. 37(1). 804–815. 6 indexed citations
8.
Inza, Iñaki, Borja Calvo, Rubén Armañanzas, et al.. (2009). Machine Learning: An Indispensable Tool in Bioinformatics. Methods in molecular biology. 593. 25–48. 72 indexed citations
9.
Bengoetxea, Endika, et al.. (2008). Selection of human embryos for transfer by Bayesian classifiers. Computers in Biology and Medicine. 38(11-12). 1177–1186. 25 indexed citations
10.
Bengoetxea, Endika, et al.. (2008). Bayesian classification for the selection of in vitro human embryos using morphological and clinical data. Computer Methods and Programs in Biomedicine. 90(2). 104–116. 47 indexed citations
11.
Mendiburu, Alexander, Roberto Santana, José A. Lozano, & Endika Bengoetxea. (2007). A parallel framework for loopy belief propagation. 2843–2850. 18 indexed citations
12.
Bengoetxea, Endika, et al.. (2007). Combining Bayesian classifiers and estimation of distribution algorithms for optimization in continuous domains. Connection Science. 19(4). 297–319. 10 indexed citations
13.
Lozano, José A., Pedro Larrañaga, Iñaki Inza, & Endika Bengoetxea. (2006). Towards a New Evolutionary Computation: Advances on Estimation of Distribution Algorithms (Studies in Fuzziness and Soft Computing). Springer eBooks. 214 indexed citations
14.
Lozano, José A., Pedro Larrañaga, Iñaki Inza, & Endika Bengoetxea. (2006). Towards a New Evolutionary Computation. Studies in fuzziness and soft computing. 254 indexed citations
15.
César, Roberto M., Endika Bengoetxea, Isabelle Bloch, & Pedro Larrañaga. (2005). Inexact graph matching for model-based recognition: Evaluation and comparison of optimization algorithms. Pattern Recognition. 38(11). 2099–2113. 53 indexed citations
16.
Bengoetxea, Endika, et al.. (2004). Evolutionary computation based on Bayesian classifiers. International Journal of Applied Mathematics and Computer Science. 14(3). 335–349. 41 indexed citations
17.
César, Roberto M., Endika Bengoetxea, & Isabelle Bloch. (2003). Inexact graph matching using stochastic optimization techniques for facial feature recognition. 2. 465–468. 21 indexed citations
18.
Bengoetxea, Endika, et al.. (2002). Inexact graph matching by means of estimation of distribution algorithms. Pattern Recognition. 35(12). 2867–2880. 57 indexed citations

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.

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