Claudia I. González

1.9k total citations
38 papers, 1.2k citations indexed

About

Claudia I. González is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Claudia I. González has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 7 papers in Computational Theory and Mathematics. Recurrent topics in Claudia I. González's work include Fuzzy Logic and Control Systems (24 papers), Neural Networks and Applications (16 papers) and Rough Sets and Fuzzy Logic (7 papers). Claudia I. González is often cited by papers focused on Fuzzy Logic and Control Systems (24 papers), Neural Networks and Applications (16 papers) and Rough Sets and Fuzzy Logic (7 papers). Claudia I. González collaborates with scholars based in Mexico, Venezuela and United States. Claudia I. González's co-authors include Oscar Castillo, Patricia Melín, Juan R. Castro, Gabriela E. Martínez, Olivia Mendoza, Fevrier Valdez, Jesús Soto, Luis Rodríguez, José Soria and Frumen Olivas and has published in prestigious journals such as Journal of Neurochemistry, Sensors and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Claudia I. González

36 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Claudia I. González Mexico	17	650	350	196	156	136	38	1.2k
Olivia Mendoza Mexico	16	654 1.0×	364 1.0×	160 0.8×	113 0.7×	230 1.7×	42	1.2k
Zuwairie Ibrahim Malaysia	20	785 1.2×	297 0.8×	262 1.3×	226 1.4×	96 0.7×	213	1.7k
Katsuhiro Honda Japan	16	816 1.3×	466 1.3×	89 0.5×	129 0.8×	85 0.6×	209	1.3k
Chen‐Chia Chuang Taiwan	14	639 1.0×	194 0.6×	384 2.0×	69 0.4×	193 1.4×	63	1.1k
H. Ichihashi Japan	15	547 0.8×	281 0.8×	113 0.6×	111 0.7×	115 0.8×	58	886
M. Markou United Kingdom	9	1.2k 1.8×	259 0.7×	372 1.9×	41 0.3×	83 0.6×	16	1.7k
Peijun Ma China	16	231 0.4×	248 0.7×	99 0.5×	160 1.0×	42 0.3×	71	990
Antonio Rodríguez-Díaz Mexico	15	792 1.2×	102 0.3×	307 1.6×	341 2.2×	231 1.7×	46	1.5k
Mansoor Zolghadri Jahromi Iran	19	734 1.1×	261 0.7×	352 1.8×	161 1.0×	50 0.4×	80	1.6k

Countries citing papers authored by Claudia I. González

Since Specialization

Citations

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

Fields of papers citing papers by Claudia I. González

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claudia I. González. 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 Claudia I. González. The network helps show where Claudia I. González may publish in the future.

Co-authorship network of co-authors of Claudia I. González

This figure shows the co-authorship network connecting the top 25 collaborators of Claudia I. González. A scholar is included among the top collaborators of Claudia I. González 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 Claudia I. González. Claudia I. González 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

González, Claudia I., et al.. (2024). Fuzzy convolutional neural network model applied to classification problems. Journal of Intelligent & Fuzzy Systems. 50(2). 515–525. 2 indexed citations

Melín, Patricia, et al.. (2023). Modeling of Fuzzy Systems Based on the Competitive Neural Network. Applied Sciences. 13(24). 13091–13091. 3 indexed citations

González, Claudia I., et al.. (2023). Epidote Reference Material Development Calibrated for Oxygen Isotope Determination by Secondary Ion Mass Spectrometry (SIMS). Microscopy and Microanalysis. 29(Supplement_1). 221–222. 1 indexed citations

González, Claudia I., et al.. (2022). Fuzzy Edge-Detection as a Preprocessing Layer in Deep Neural Networks for Guitar Classification. Sensors. 22(15). 5892–5892. 6 indexed citations

González, Claudia I., et al.. (2021). Optimization of Convolutional Neural Networks Architectures Using PSO for Sign Language Recognition. Axioms. 10(3). 139–139. 38 indexed citations

Martínez, Gabriela E., Claudia I. González, Olivia Mendoza, & Patricia Melín. (2019). General Type-2 Fuzzy Sugeno Integral for Edge Detection. Journal of Imaging. 5(8). 71–71. 19 indexed citations

González, Claudia I., Patricia Melín, Juan R. Castro, & Oscar Castillo. (2019). Edge Detection Approach Based on Type-2 Fuzzy Images.. 33. 431–458. 11 indexed citations

Melín, Patricia, Emanuel Ontiveros-Robles, Claudia I. González, Juan R. Castro, & Oscar Castillo. (2018). An approach for parameterized shadowed type-2 fuzzy membership functions applied in control applications. Soft Computing. 23(11). 3887–3901. 50 indexed citations

González, Claudia I., Patricia Melín, Juan R. Castro, & Oscar Castillo. (2017). Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic. SpringerBriefs in applied sciences and technology. 22 indexed citations

10.

Melín, Patricia, et al.. (2017). Fuzzy Fireworks Algorithm Based on a Sparks Dispersion Measure. Algorithms. 10(3). 83–83. 9 indexed citations

11.

González, Claudia I., Patricia Melín, & Oscar Castillo. (2017). Edge Detection Method Based on General Type-2 Fuzzy Logic Applied to Color Images. Information. 8(3). 104–104. 32 indexed citations

12.

Tai, Kevin, Abdulrahman M. El‐Sayed, Mohammad Biglarbegian, et al.. (2016). Review of Recent Type-2 Fuzzy Controller Applications. Algorithms. 9(2). 39–39. 68 indexed citations

13.

Valdez, Fevrier, et al.. (2016). Interval type-2 fuzzy logic for dynamic parameter adaptation in the bat algorithm. Soft Computing. 21(3). 667–685. 35 indexed citations

14.

Melín, Patricia, et al.. (2016). Fuzzy FWA with dynamic adaptation of parameters. 4053–4060. 7 indexed citations

15.

Melín, Patricia, Oscar Castillo, Claudia I. González, Juan R. Castro, & Olivia Mendoza. (2016). General Type-2 fuzzy edge detectors applied to face recognition systems. 8. 1–6. 3 indexed citations

16.

González, Claudia I., Juan R. Castro, Patricia Melín, & Oscar Castillo. (2015). Cuckoo search algorithm for the optimization of type-2 fuzzy image edge detection systems. 449–455. 19 indexed citations

17.

González, Claudia I., Juan R. Castro, Olivia Mendoza, et al.. (2015). Edge detection method based on Interval type-2 fuzzy systems for color images. 1–6. 8 indexed citations

18.

Olea, Elena, et al.. (2014). Interaction between intermittent hypoxia and high fat diet to generate oxidative stress, sympathetic hyperactivity, insulin resistance, and systemic hypertension. Proceedings of The Physiological Society. 3 indexed citations

19.

Buonanno, Andrés, Daniel Paredes, Claudia I. González, et al.. (2012). Symposium Lectures. Journal of Neurochemistry. 122(s1). 2–10. 1 indexed citations

20.

Melín, Patricia, et al.. (2004). Modular Neural Networks with Fuzzy Sugeno Integral Response Integration for Face and Fingerprint Recognition.. International Conference on Artificial Intelligence. 91–97. 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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