V́ıctor González-Castro

2.0k total citations
59 papers, 1.2k citations indexed

About

V́ıctor González-Castro is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, V́ıctor González-Castro has authored 59 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 10 papers in Information Systems. Recurrent topics in V́ıctor González-Castro's work include Spam and Phishing Detection (9 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Industrial Vision Systems and Defect Detection (6 papers). V́ıctor González-Castro is often cited by papers focused on Spam and Phishing Detection (9 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Industrial Vision Systems and Defect Detection (6 papers). V́ıctor González-Castro collaborates with scholars based in Spain, United Kingdom and France. V́ıctor González-Castro's co-authors include Enrique Alegre, Rocío Aláiz-Rodríguez, Eduardo Fidalgo, María Teresa Garcí­a-Ordás, Joanna M. Wardlaw, María del C. Valdés Hernández, Francesca M. Chappell, Laura Fernández-Robles, Susana Muñoz Maniega and Enrico Pellegrini and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

V́ıctor González-Castro

57 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V́ıctor González-Castro Spain 20 311 245 163 162 138 59 1.2k
Friso De Boer Australia 20 464 1.5× 174 0.7× 51 0.3× 155 1.0× 359 2.6× 69 1.5k
Maheshkumar H. Kolekar India 26 291 0.9× 652 2.7× 60 0.4× 38 0.2× 86 0.6× 99 1.7k
Ghulam Mubashar Hassan Australia 18 132 0.4× 238 1.0× 68 0.4× 53 0.3× 182 1.3× 104 1.1k
Anna Wang China 21 216 0.7× 330 1.3× 142 0.9× 31 0.2× 53 0.4× 127 1.3k
Muhammad Usman Ghani Khan Pakistan 23 781 2.5× 592 2.4× 30 0.2× 175 1.1× 256 1.9× 112 2.0k
Farhan Riaz Pakistan 16 336 1.1× 317 1.3× 14 0.1× 79 0.5× 127 0.9× 74 1.2k
Philip Morrow United Kingdom 18 359 1.2× 453 1.8× 19 0.1× 164 1.0× 360 2.6× 101 1.7k
Bharat Gupta India 23 186 0.6× 116 0.5× 45 0.3× 63 0.4× 86 0.6× 104 1.4k
Daehan Won United States 17 229 0.7× 159 0.6× 65 0.4× 25 0.2× 142 1.0× 78 1.1k
Na Zou United States 17 376 1.2× 149 0.6× 39 0.2× 43 0.3× 100 0.7× 70 1.0k

Countries citing papers authored by V́ıctor González-Castro

Since Specialization
Citations

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

Fields of papers citing papers by V́ıctor González-Castro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V́ıctor González-Castro

This figure shows the co-authorship network connecting the top 25 collaborators of V́ıctor González-Castro. A scholar is included among the top collaborators of V́ıctor González-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 V́ıctor González-Castro. V́ıctor González-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.
Fernández-Robles, Laura, et al.. (2025). Overcoming occlusions in the wild: A multi-task age head approach to age estimation. Pattern Recognition. 174. 112917–112917.
2.
Jáñez-Martino, Francisco, Rocío Aláiz-Rodríguez, V́ıctor González-Castro, Eduardo Fidalgo, & Enrique Alegre. (2025). Spam email classification based on cybersecurity potential risk using natural language processing. Knowledge-Based Systems. 310. 112939–112939. 2 indexed citations
3.
Gangwar, Abhishek, et al.. (2024). DeepHSAR: Semi-supervised fine-grained learning for multi-label human sexual activity recognition. Information Processing & Management. 61(5). 103800–103800. 1 indexed citations
4.
Gangwar, Abhishek, V́ıctor González-Castro, Enrique Alegre, & Eduardo Fidalgo. (2023). Triple-BigGAN: Semi-supervised generative adversarial networks for image synthesis and classification on sexual facial expression recognition. Neurocomputing. 528. 200–216. 14 indexed citations
5.
Jáñez-Martino, Francisco, Rocío Aláiz-Rodríguez, V́ıctor González-Castro, Eduardo Fidalgo, & Enrique Alegre. (2023). Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach. Applied Soft Computing. 139. 110226–110226. 21 indexed citations
6.
Fidalgo, Eduardo, et al.. (2022). A survey on methods, datasets and implementations for scene text spotting. IET Image Processing. 16(13). 3426–3445. 1 indexed citations
7.
Fidalgo, Eduardo, et al.. (2022). Phishing URL Detection: A Real-Case Scenario Through Login URLs. IEEE Access. 10. 42949–42960. 53 indexed citations
8.
Jáñez-Martino, Francisco, et al.. (2022). Detecting malware using text documents extracted from spam email through machine learning. 1–4. 1 indexed citations
9.
Fernández‐Raga, María, et al.. (2021). The Use of High-Speed Cameras as a Tool for the Characterization of Raindrops in Splash Laboratory Studies. Water. 13(20). 2851–2851. 7 indexed citations
10.
Humphreys, Catherine, Maurits A. Jansen, Susana Muñoz Maniega, et al.. (2018). A protocol for precise comparisons of small vessel disease lesions between ex vivo magnetic resonance imaging and histopathology. International Journal of Stroke. 14(3). 310–320. 13 indexed citations
11.
González-Castro, V́ıctor, María del C. Valdés Hernández, Francesca M. Chappell, et al.. (2017). Reliability of an automatic classifier for brain enlarged perivascular spaces burden and comparison with human performance. Clinical Science. 131(13). 1465–1481. 29 indexed citations
12.
Hernández, María del C. Valdés, V́ıctor González-Castro, Francesca M. Chappell, et al.. (2017). Application of Texture Analysis to Study Small Vessel Disease and Blood–Brain Barrier Integrity. Frontiers in Neurology. 8. 327–327. 25 indexed citations
13.
Hernández, María del C. Valdés, et al.. (2015). Textural Characterisation on Regions of Interest: A Useful Tool for the Study of Small Vessel Disease.. Buleria (Universidad de León). 66–71. 3 indexed citations
14.
Garcí­a-Ordás, María Teresa, et al.. (2015). aZIBO Shape Descriptor for Monitoring Tool Wear in Milling. Procedia Engineering. 132. 958–965. 1 indexed citations
15.
González-Castro, V́ıctor, et al.. (2015). Automatic classification of skin lesions using geometrical measurements of adaptive neighborhoods and local binary patterns. HAL (Le Centre pour la Communication Scientifique Directe). 1. 1722–1726. 1 indexed citations
16.
González-Castro, V́ıctor, et al.. (2012). Adaptive pattern spectrum image description using Euclidean and Geodesic distance without training for texture classification. IET Computer Vision. 6(6). 581–589. 6 indexed citations
17.
Castejón‐Limas, Manuel, Joaquín Ordieres‐Meré, Ana González‐Marcos, & V́ıctor González-Castro. (2010). Effort estimates through project complexity. Annals of Operations Research. 186(1). 395–406. 13 indexed citations
18.
Alegre, Enrique, et al.. (2009). Proceedings Elmar - International Symposium Electronics in Marine. International Symposium ELMAR. 9 indexed citations
19.
Alegre, Enrique, et al.. (2009). Comparison of supervised and unsupervised methods to classify boar acrosomes using texture descriptors. International Symposium ELMAR. 65–70. 4 indexed citations
20.
González-Castro, V́ıctor, et al.. (2009). A combined and intelligent new segmentation method for boar semen based on thresholding and Watershed transform. 2. 70–80. 13 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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