Gladys Castillo

2.1k total citations
16 papers, 244 citations indexed

About

Gladys Castillo is a scholar working on Artificial Intelligence, Orthopedics and Sports Medicine and Molecular Biology. According to data from OpenAlex, Gladys Castillo has authored 16 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Orthopedics and Sports Medicine and 3 papers in Molecular Biology. Recurrent topics in Gladys Castillo's work include Intelligent Tutoring Systems and Adaptive Learning (3 papers), Bone health and treatments (3 papers) and Insect and Pesticide Research (3 papers). Gladys Castillo is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (3 papers), Bone health and treatments (3 papers) and Insect and Pesticide Research (3 papers). Gladys Castillo collaborates with scholars based in Portugal, Spain and United States. Gladys Castillo's co-authors include Eva Millán, Cristina Carmona-Duarte, David J. Baylink, Subburaman Mohan, Apurva K. Srivastava, Samit Bhattacharyya, J. E. Wergedal, Rafael Morales-Bueno, Nuno Lau and Brígida Mónica Faria and has published in prestigious journals such as PLoS ONE, Computers & Education and Bone.

In The Last Decade

Gladys Castillo

16 papers receiving 221 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gladys Castillo Portugal 10 102 61 44 42 32 16 244
Shan Jing China 11 119 1.2× 30 0.5× 12 0.3× 26 0.6× 24 0.8× 48 307
Nicole Hutchins United States 8 32 0.3× 170 2.8× 94 2.1× 41 1.0× 28 0.9× 22 268
Jairo Francisco de Souza Brazil 8 132 1.3× 52 0.9× 18 0.4× 100 2.4× 20 0.6× 73 233
Joanne Kim United States 5 108 1.1× 171 2.8× 21 0.5× 87 2.1× 9 0.3× 7 303
Ngan Luu-Thuy Nguyen Vietnam 14 382 3.7× 30 0.5× 12 0.3× 38 0.9× 154 4.8× 68 665
Matthias Bauer Germany 4 36 0.4× 40 0.7× 14 0.3× 16 0.4× 23 0.7× 14 117
Hannah Blau United States 8 57 0.6× 23 0.4× 3 0.1× 42 1.0× 69 2.2× 16 191

Countries citing papers authored by Gladys Castillo

Since Specialization
Citations

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

Fields of papers citing papers by Gladys Castillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gladys Castillo

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

All Works

16 of 16 papers shown
1.
2.
Castillo, Gladys, et al.. (2022). Africanized honeybee population (Apis mellifera L.) in Nicaragua: Forewing length and mitotype lineages. PLoS ONE. 17(4). e0267600–e0267600. 4 indexed citations
3.
Castillo, Gladys, et al.. (2021). Morphotype and haplotype identification of Varroa destructor (Acari: Varroidae), and its importance for apiculture in Nicaragua. Experimental and Applied Acarology. 83(4). 527–544. 3 indexed citations
4.
Castillo, Gladys, et al.. (2013). A comparative study on feature selection and adaptive strategies for email foldering using the ABC-DynF framework. Knowledge-Based Systems. 46. 81–94. 4 indexed citations
5.
Millán, Eva, et al.. (2012). Using Bayesian networks to improve knowledge assessment. Computers & Education. 60(1). 436–447. 35 indexed citations
6.
Castillo, Gladys, et al.. (2011). TF-SIDF: Term frequency, sketched inverse document frequency. 1044–1049. 12 indexed citations
7.
Castillo, Gladys, et al.. (2011). A comparative study on feature selection and adaptive strategies for email foldering. 7. 1294–1299. 2 indexed citations
8.
Faria, Brígida Mónica, Luís Paulo Reis, Nuno Lau, & Gladys Castillo. (2010). Machine Learning algorithms applied to the classification of robotic soccer formations and opponent teams. 2. 344–349. 18 indexed citations
9.
Castillo, Gladys & João Gama. (2009). Adaptive Bayesian network classifiers. Intelligent Data Analysis. 13(1). 39–59. 3 indexed citations
10.
Castillo, Gladys. (2008). Adaptive learning algorithms for Bayesian network classifiers. AI Communications. 21(1). 87–88. 9 indexed citations
11.
Carmona-Duarte, Cristina, Gladys Castillo, & Eva Millán. (2008). Designing a Dynamic Bayesian Network for Modeling Students' Learning Styles. 346–350. 41 indexed citations
12.
Carmona-Duarte, Cristina, Gladys Castillo, & Eva Millán. (2007). Discovering Student Preferences in E-Learning. 33 indexed citations
13.
Srivastava, Apurva K., Samit Bhattacharyya, Gladys Castillo, et al.. (2000). Development and Application of a Serum C-Telopeptide and Osteocalcin Assay to Measure Bone Turnover in an Ovariectomized Rat Model. Calcified Tissue International. 66(6). 435–442. 23 indexed citations
14.
Srivastava, Apurva K., Gladys Castillo, J. E. Wergedal, Subburaman Mohan, & David J. Baylink. (2000). Development and Application of a Synthetic Peptide-Based Osteocalcin Assay for the Measurement of Bone Formation in Mouse Serum. Calcified Tissue International. 67(3). 255–259. 14 indexed citations
15.
Srivastava, Apurva K., Samit Bhattacharyya, Gladys Castillo, et al.. (2000). Development and evaluation of C-telopeptide enzyme-linked immunoassay for measurement of bone resorption in mouse serum. Bone. 27(4). 529–533. 17 indexed citations
16.

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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