Félix Castro

413 total citations
16 papers, 75 citations indexed

About

Félix Castro is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems. According to data from OpenAlex, Félix Castro has authored 16 papers receiving a total of 75 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 9 papers in Computer Science Applications and 4 papers in Information Systems. Recurrent topics in Félix Castro's work include Online Learning and Analytics (9 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers) and Fuzzy Logic and Control Systems (4 papers). Félix Castro is often cited by papers focused on Online Learning and Analytics (9 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers) and Fuzzy Logic and Control Systems (4 papers). Félix Castro collaborates with scholars based in Spain and Mexico. Félix Castro's co-authors include Àngela Nebot, Francisco Mugica, Alfredo Vellido, Sabino Miranda‐Jiménez, Miguel González-Mendoza and Julià Minguillón and has published in prestigious journals such as Applied Soft Computing, Applied Sciences and Lecture notes in computer science.

In The Last Decade

Félix Castro

15 papers receiving 69 citations

Peers

Félix Castro

CSA

AI

IS

CNC

DEP

Jayson Lynch United States

Zhiping Xiao United States

Maxwell Nye United States

I. S. W. B. Prasetya Netherlands

Anton Mityagin United States

Han Shi China

Natalia Ponomareva United States

Horst Pichler Austria

Saloni Potdar United States

Jayson Lynch United States

Félix Castro

15 ×0.4

CSA

62 ×1.8

AI

12 ×0.4

IS

13 ×1.6

CNC

7 ×0.9

DEP

Citations per year, relative to Félix Castro Félix Castro (= 1×) peers Jayson Lynch

Countries citing papers authored by Félix Castro

Since Specialization

Citations

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

Fields of papers citing papers by Félix Castro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Félix Castro

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

All Works

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16 of 16 papers shown

1.

Nebot, Àngela, Francisco Mugica, & Félix Castro. (2020). An e-Learning Toolbox Based on Rule-Based Fuzzy Approaches. Applied Sciences. 10(19). 6804–6804. 4 indexed citations

2.

Castro, Félix, et al.. (2018). Advances in Soft Computing. Lecture notes in computer science. 2 indexed citations

3.

Castro, Félix, et al.. (2018). Advances in Computational Intelligence. Lecture notes in computer science. 6 indexed citations

4.

Nebot, Àngela, et al.. (2012). Genetic Learning of Fuzzy Parameters in Predictive and Decision Support Modelling. International Journal of Computational Intelligence Systems. 5(2). 387–387. 3 indexed citations

5.

Castro, Félix, Àngela Nebot, & Francisco Mugica. (2011). On the extraction of decision support rules from fuzzy predictive models. Applied Soft Computing. 11(4). 3463–3475. 14 indexed citations

6.

Nebot, Àngela, et al.. (2010). Genetic fuzzy system for predictive and decision support modelling in e-learning. 62. 1–8. 2 indexed citations

7.

Nebot, Àngela, Francisco Mugica, & Félix Castro. (2010). Fuzzy predictive models to help teachers in e-learning courses. 10. 1–7. 8 indexed citations

8.

Castro, Félix, Àngela Nebot, & Francisco Mugica. (2008). A soft computing decision support framework to improve the e-learning experience. Spring Simulation Multiconference. 781–788. 1 indexed citations

9.

Castro, Félix. (2008). Driver psycho-physical alteration recognition system. 1 indexed citations

10.

Nebot, Àngela, Francisco Mugica, & Félix Castro. (2008). Causal relevance to improve the prediction accuracy of dynamical systems using inductive reasoning. International Journal of General Systems. 38(3). 331–358. 3 indexed citations

11.

Castro, Félix, Àngela Nebot, & Francisco Mugica. (2007). Extraction of logical rules to describe students' learning behavior. 164–169. 6 indexed citations

12.

Castro, Félix, Francisco Mugica, & Àngela Nebot. (2007). Causal Relevancy Approaches to Improve the Students' Prediction Performance in an e-Learning Environment. 62. 342–351. 1 indexed citations

13.

Nebot, Àngela, Félix Castro, Francisco Mugica, & Alfredo Vellido. (2006). Identification of fuzzy models to predict students performance in an e-learning environment. 74–79. 15 indexed citations

14.

Vellido, Alfredo, Félix Castro, Àngela Nebot, & Francisco Mugica. (2006). Characterization of atypical virtual campus usage behavior through robust generative relevance analysis. 183–188. 2 indexed citations

15.

Castro, Félix, Alfredo Vellido, Àngela Nebot, & Julià Minguillón. (2005). Finding Relevant Features to Characterize Student Behavior on an e-Learning System.. 112(2). 210–5. 1 indexed citations

16.

Castro, Félix, et al.. (2005). Detecting atypical student behaviour on a e-learning system. Dialnet (Universidad de la Rioja). 153–160. 6 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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