Enrique Alegre

3.6k total citations · 1 hit paper
100 papers, 2.0k citations indexed

About

Enrique Alegre is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Enrique Alegre has authored 100 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Vision and Pattern Recognition, 26 papers in Artificial Intelligence and 17 papers in Industrial and Manufacturing Engineering. Recurrent topics in Enrique Alegre's work include Advanced Image and Video Retrieval Techniques (15 papers), Industrial Vision Systems and Defect Detection (14 papers) and Spam and Phishing Detection (11 papers). Enrique Alegre is often cited by papers focused on Advanced Image and Video Retrieval Techniques (15 papers), Industrial Vision Systems and Defect Detection (14 papers) and Spam and Phishing Detection (11 papers). Enrique Alegre collaborates with scholars based in Spain, Colombia and Netherlands. Enrique Alegre's co-authors include Eduardo Fidalgo, V́ıctor González-Castro, Rocío Aláiz-Rodríguez, Laura Fernández-Robles, J. Barreiro, George Azzopardi, Francisco Jáñez-Martino, Manuel Castejón‐Limas, Deisy Chaves and María Teresa Garcí­a-Ordás and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Enrique Alegre

95 papers receiving 1.9k citations

Hit Papers

Assessment and Estimation of Face Detection Performance B... 2020 2026 2022 2024 2020 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Assessment and Estimation of Face Detection Performance Based on Deep Learning for Forensic Applications
    2020 241 citations Deisy Chaves, Eduardo Fidalgo et al. Sensors profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Enrique Alegre Spain 24 597 471 446 360 325 100 2.0k
Gang Chen China 23 285 0.5× 513 1.1× 639 1.4× 110 0.3× 92 0.3× 340 2.4k
Xiaofei He China 20 339 0.6× 335 0.7× 443 1.0× 415 1.2× 74 0.2× 52 2.2k
Satish Chand India 24 318 0.5× 339 0.7× 498 1.1× 295 0.8× 77 0.2× 193 2.1k
Jeremy Straub United States 20 267 0.4× 187 0.4× 206 0.5× 213 0.6× 202 0.6× 368 2.1k
Rocío Aláiz-Rodríguez Spain 17 638 1.1× 175 0.4× 170 0.4× 180 0.5× 117 0.4× 40 1.4k
Weitao Xu China 27 250 0.4× 581 1.2× 433 1.0× 371 1.0× 60 0.2× 159 2.2k
Chandrika Kamath United States 24 620 1.0× 2.9k 6.1× 808 1.8× 194 0.5× 399 1.2× 90 4.8k
Yantao Li China 28 531 0.9× 268 0.6× 712 1.6× 350 1.0× 33 0.1× 149 2.6k
Feng Niu China 27 1.0k 1.7× 235 0.5× 397 0.9× 296 0.8× 43 0.1× 203 3.5k

Countries citing papers authored by Enrique Alegre

Since Specialization
Citations

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

Fields of papers citing papers by Enrique Alegre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enrique Alegre

This figure shows the co-authorship network connecting the top 25 collaborators of Enrique Alegre. A scholar is included among the top collaborators of Enrique Alegre 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 Enrique Alegre. Enrique Alegre 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.
Fernández-Robles, Laura, et al.. (2025). Improving audio embeddings with squeeze-and-excitation: Introducing SaEENet. Knowledge-Based Systems. 324. 113875–113875.
3.
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
4.
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
5.
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
6.
Alegre, Enrique, et al.. (2023). Improvement of Accent Classification Models Through Grad-Transfer From Spectrograms and Gradient-Weighted Class Activation Mapping. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 2859–2871. 9 indexed citations
7.
Fernández-Robles, Laura, et al.. (2023). MeWEHV: Mel and Wave Embeddings for Human Voice Tasks. IEEE Access. 11. 80089–80104. 4 indexed citations
8.
Fidalgo, Eduardo, et al.. (2023). PhiKitA: Phishing Kit Attacks Dataset for Phishing Websites Identification. IEEE Access. 11. 40779–40789. 12 indexed citations
9.
Alegre, Enrique, et al.. (2022). Source Camera Device Identification from Videos. SN Computer Science. 3(4). 10 indexed citations
10.
Fidalgo, Eduardo, et al.. (2022). Phishing websites detection using a novel multipurpose dataset and web technologies features. Expert Systems with Applications. 207. 118010–118010. 27 indexed citations
11.
Fidalgo, Eduardo, et al.. (2022). Phishing URL Detection: A Real-Case Scenario Through Login URLs. IEEE Access. 10. 42949–42960. 53 indexed citations
12.
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
13.
Fidalgo, Eduardo, et al.. (2021). Detecting Vulnerabilities in Critical Infrastructures by Classifying Exposed Industrial Control Systems Using Deep Learning. Applied Sciences. 11(1). 367–367. 9 indexed citations
14.
Fernández-Robles, Laura, et al.. (2021). Image retrieval based on texture using latent space representation of discrete Fourier transformed maps. Neural Computing and Applications. 33(20). 13301–13316. 6 indexed citations
15.
Chaves, Deisy, Eduardo Fidalgo, Enrique Alegre, et al.. (2020). Assessment and Estimation of Face Detection Performance Based on Deep Learning for Forensic Applications. Sensors. 20(16). 4491–4491. 241 indexed citations breakdown →
16.
Fidalgo, Eduardo, et al.. (2020). Rectification and Super-Resolution Enhancements for Forensic Text Recognition. Sensors. 20(20). 5850–5850. 4 indexed citations
17.
Fernández-Robles, Laura, et al.. (2019). Boosting Texture-Based Classification by Describing Statistical Information of Gray-Levels Differences. Sensors. 19(5). 1048–1048. 6 indexed citations
18.
Alegre, Enrique, et al.. (2018). Textile Retrieval Based on Image Content from CDC and Webcam Cameras in Indoor Environments. Sensors. 18(5). 1329–1329. 11 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.
Alegre, Enrique, Rocío Aláiz-Rodríguez, J. Barreiro, & Jesús Ruíz. (2009). Use of contour signatures and classification methods to optimize the tool life in metal machining; pp. 3–12. 15(1). 3–12. 16 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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