José M. Puerta

2.2k total citations
75 papers, 1.4k citations indexed

About

José M. Puerta is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, José M. Puerta has authored 75 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 15 papers in Information Systems. Recurrent topics in José M. Puerta's work include Bayesian Modeling and Causal Inference (25 papers), Machine Learning and Data Classification (12 papers) and Data Mining Algorithms and Applications (10 papers). José M. Puerta is often cited by papers focused on Bayesian Modeling and Causal Inference (25 papers), Machine Learning and Data Classification (12 papers) and Data Mining Algorithms and Applications (10 papers). José M. Puerta collaborates with scholars based in Spain, United Kingdom and Belgium. José M. Puerta's co-authors include José A. Gámez, Pablo Bermejo, Luis de la Ossa, Juan L. Mateo, Luis M. de Campos, Juan M. Fernández‐Luna, M. Julia Flores, Francisco Ayala, Iñaki Ruiz‐Pérez and Sergio Hernández-Sánchez and has published in prestigious journals such as PLoS ONE, Medicine & Science in Sports & Exercise and Expert Systems with Applications.

In The Last Decade

José M. Puerta

68 papers receiving 1.4k citations

Peers

José M. Puerta

CVPR

CTM

MSOR

Kenneth W. Bauer United States

Anna Maria Fanelli Italy

Nikola Bogunović Croatia

Ricardo Soto Chile

Broderick Crawford Chile

José A. Sáez Spain

Karla Brkić Croatia

Fernando Buarque de Lima Neto Brazil

Simone A. Ludwig United States

Tomoharu Nakashima Japan

Kenneth W. Bauer United States

José M. Puerta

553 ×0.7

237 ×1.0

CVPR

92 ×0.4

83 ×0.5

CTM

149 ×1.0

MSOR

Citations per year, relative to José M. Puerta José M. Puerta (= 1×) peers Kenneth W. Bauer

Countries citing papers authored by José M. Puerta

Since Specialization

Citations

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

Fields of papers citing papers by José M. Puerta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José M. Puerta. 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 José M. Puerta. The network helps show where José M. Puerta may publish in the future.

Co-authorship network of co-authors of José M. Puerta

This figure shows the co-authorship network connecting the top 25 collaborators of José M. Puerta. A scholar is included among the top collaborators of José M. Puerta 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 José M. Puerta. José M. Puerta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Gámez, José A., et al.. (2025). ODTE—An ensemble of multi-class SVM-based oblique decision trees. Expert Systems with Applications. 273. 126833–126833.

Puerta, José M., et al.. (2024). Distributed fusion-based algorithms for learning high-dimensional Bayesian Networks: Testing ring and star topologies. International Journal of Approximate Reasoning. 175. 109302–109302.

Flores, M. Julia, et al.. (2024). Evaluation of data augmentation techniques on subjective tasks. Machine Vision and Applications. 35(4). 1 indexed citations

Aledo, Juan A., et al.. (2022). Factual and Counterfactual Explanations in Fuzzy Classification Trees. IEEE Transactions on Fuzzy Systems. 30(12). 5484–5495. 12 indexed citations

Ruiz‐Pérez, Iñaki, Alejandro López‐Valenciano, Sergio Hernández-Sánchez, et al.. (2021). A Field-Based Approach to Determine Soft Tissue Injury Risk in Elite Futsal Using Novel Machine Learning Techniques. Frontiers in Psychology. 12. 610210–610210. 21 indexed citations

Ruiz‐Pérez, Iñaki, Francisco Ayala, José M. Puerta, et al.. (2019). A Bayesian Network approach to study the relationships between several neuromuscular performance measures and dynamic postural control in futsal players. PLoS ONE. 14(7). e0220065–e0220065. 19 indexed citations

Puerta, José M., et al.. (2018). Drawing a baseline in aesthetic quality assessment. 1608. 106–106. 4 indexed citations

Bermejo, Pablo, José A. Gámez, & José M. Puerta. (2017). Adapting the CMIM algorithm for multilabel feature selection. A comparison with existing methods. Expert Systems. 35(1). 6 indexed citations

López‐Valenciano, Alejandro, Francisco Ayala, José M. Puerta, et al.. (2017). A Preventive Model for Muscle Injuries. Medicine & Science in Sports & Exercise. 50(5). 915–927. 83 indexed citations

10.

Gámez, José A., et al.. (2015). A scalable pairwise class interaction framework for multidimensional classification. International Journal of Approximate Reasoning. 68. 194–210. 19 indexed citations

11.

Martínez, José Luis, et al.. (2015). Adaptive Fast Quadtree Level Decision Algorithm for H.264 to HEVC Video Transcoding. IEEE Transactions on Circuits and Systems for Video Technology. 26(1). 154–168. 27 indexed citations

12.

Ossa, Luis de la, et al.. (2012). Scaling up the Greedy Equivalence Search algorithm by constraining the search space of equivalence classes. International Journal of Approximate Reasoning. 54(4). 429–451. 27 indexed citations

13.

Bermejo, Pablo, José A. Gámez, & José M. Puerta. (2010). Improving incremental wrapper-based feature subset selection by using re-ranking. 580–589. 3 indexed citations

14.

Flores, M. Julia, José A. Gámez, Ana María Martínez, & José M. Puerta. (2010). Analyzing the impact of the discretization method when comparing Bayesian classifiers. 570–579. 4 indexed citations

15.

Ossa, Luis de la, et al.. (2010). SUPPORTING INTELLIGENT SYSTEMS TEACHING BY MEANS OF COMPUTER GAMES PROGRAMMING. 5381–5389. 2 indexed citations

16.

Ossa, Luis de la, et al.. (2009). Structural Learning of Bayesian Networks by Using Variable Neighbourhood Search Based on the Space of Orderings. 3. 1435–1440. 1 indexed citations

17.

Ossa, Luis de la, José A. Gámez, & José M. Puerta. (2008). Learning weighted linguistic fuzzy rules by using specifically-tailored hybrid estimation of distribution algorithms. International Journal of Approximate Reasoning. 50(3). 541–560. 12 indexed citations

18.

Gámez, José A., et al.. (2008). Gait Optimization in AIBO Robots Using an Estimation of Distribution Algorithm. 150–155. 2 indexed citations

19.

Gámez, José A., Juan L. Mateo, & José M. Puerta. (2006). Dependency networks based classifiers: learning models by using independence.. 115–122. 4 indexed citations

20.

Campos, Luis M. de, José A. Gámez, & José M. Puerta. (2002). Graphical Models to Causal Discovery from Data..

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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