Pablo A. D. Castro

526 total citations
26 papers, 281 citations indexed

About

Pablo A. D. Castro is a scholar working on Artificial Intelligence, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Pablo A. D. Castro has authored 26 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 11 papers in Biomedical Engineering and 6 papers in Molecular Biology. Recurrent topics in Pablo A. D. Castro's work include Artificial Immune Systems Applications (11 papers), Fuzzy Logic and Control Systems (8 papers) and Neural Networks and Applications (4 papers). Pablo A. D. Castro is often cited by papers focused on Artificial Immune Systems Applications (11 papers), Fuzzy Logic and Control Systems (8 papers) and Neural Networks and Applications (4 papers). Pablo A. D. Castro collaborates with scholars based in Brazil. Pablo A. D. Castro's co-authors include Fernando J. Von Zuben, Fabrício Olivetti de França, Heloisa A. Camargo, Guilherme Palermo Coelho, Orides Morandin and Edilson Reis Rodrigues Kato and has published in prestigious journals such as Information Sciences, Natural Computing and Journal of Mathematical Modelling and Algorithms.

In The Last Decade

Pablo A. D. Castro

24 papers receiving 270 citations

Peers

Pablo A. D. Castro
Zaineb Chelly Dagdia Tunisia
Christine Zarges United Kingdom
Renliang Sun China
Qilong Feng China
Xinyu Hu China
Andrei Gagarin Canada
Beatriz Pontes Spain
Shubhra Sankar Ray India
Zaineb Chelly Dagdia Tunisia
Pablo A. D. Castro
Citations per year, relative to Pablo A. D. Castro Pablo A. D. Castro (= 1×) peers Zaineb Chelly Dagdia

Countries citing papers authored by Pablo A. D. Castro

Since Specialization
Citations

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

Fields of papers citing papers by Pablo A. D. Castro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pablo A. D. Castro

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

All Works

20 of 20 papers shown
1.
Coelho, Guilherme Palermo, Pablo A. D. Castro, & Fernando J. Von Zuben. (2016). The Effective Use of Diverse Rule Bases in Fuzzy Classification. 1–6.
2.
Castro, Pablo A. D., Heloisa A. Camargo, & Fernando J. Von Zuben. (2013). Evaluating the performance of a Bayesian Artificial Immune System for designing fuzzy rule bases. International Journal of Hybrid Intelligent Systems. 10(2). 43–55. 1 indexed citations
3.
4.
Castro, Pablo A. D. & Fernando J. Von Zuben. (2011). Training multilayer perceptrons with a Gaussian Artificial Immune System. 87. 1250–1257. 5 indexed citations
5.
Castro, Pablo A. D., Heloisa A. Camargo, & Fernando J. Von Zuben. (2011). Designing fuzzy rule bases with a Bayesian Artificial Immune System. 2. 584–589. 1 indexed citations
6.
Castro, Pablo A. D. & Fernando J. Von Zuben. (2010). Learning Ensembles of Neural Networks by Means of a Bayesian Artificial Immune System. IEEE Transactions on Neural Networks. 22(2). 304–316. 24 indexed citations
7.
Castro, Pablo A. D. & Fernando J. Von Zuben. (2010). Multi‐objective feature selection using a Bayesian artificial immune system. International Journal of Intelligent Computing and Cybernetics. 3(2). 235–256. 24 indexed citations
8.
Castro, Pablo A. D. & Fernando J. Von Zuben. (2010). A Gaussian Artificial Immune System for Multi-Objective optimization in continuous domains. 5132. 159–164. 7 indexed citations
9.
França, Fabrício Olivetti de, Guilherme Palermo Coelho, Pablo A. D. Castro, & Fernando J. Von Zuben. (2010). Conceptual and Practical Aspects of the aiNet Family of Algorithms. RePEc: Research Papers in Economics. 1(1). 1–35. 19 indexed citations
10.
Castro, Pablo A. D. & Fernando J. Von Zuben. (2009). Learning Bayesian networks to perform feature selection. 3060. 467–473. 2 indexed citations
11.
Castro, Pablo A. D. & Fernando J. Von Zuben. (2009). Multi-objective Bayesian Artificial Immune System: Empirical Evaluation and Comparative Analyses. Journal of Mathematical Modelling and Algorithms. 8(2). 151–173. 11 indexed citations
12.
13.
Castro, Pablo A. D., et al.. (2007). Applying Biclustering to Perform Collaborative Filtering. 421–426. 46 indexed citations
14.
Castro, Pablo A. D. & Fernando J. Von Zuben. (2006). Bayesian Learning of Neural Networks by Means of Artificial Immune Systems. The 2006 IEEE International Joint Conference on Neural Network Proceedings. 4831–4838. 5 indexed citations
15.
Castro, Pablo A. D., et al.. (2005). Improving a Pittsburgh Leant Fuzzy Rule Base using Feature Subset Selection. 180–185. 5 indexed citations
16.
Castro, Pablo A. D. & Fernando J. Von Zuben. (2005). An immune-inspired approach to Bayesian networks. 6 pp.–6 pp.. 5 indexed citations
17.
Castro, Pablo A. D., et al.. (2005). Genetic learning of fuzzy rules applied to sequencing problem of FMS. 5. 4336–4341. 4 indexed citations
18.
Castro, Pablo A. D. & Heloisa A. Camargo. (2005). Focusing on Interpretability and Accuracy of a Genetic Fuzzy System. 8. 696–701. 14 indexed citations
19.
Castro, Pablo A. D., et al.. (2004). A real time production sequencing rule for machines of a FMS using fuzzy logic. 5. 4381–4386. 3 indexed citations
20.
Camargo, Heloisa A., et al.. (2004). Genetic design of fuzzy knowledge bases - a study of different approaches. 954–959 Vol.2. 10 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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