Eduardo Fidalgo

1.9k total citations · 1 hit paper
56 papers, 1.1k citations indexed

About

Eduardo Fidalgo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Eduardo Fidalgo has authored 56 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 24 papers in Artificial Intelligence and 16 papers in Information Systems. Recurrent topics in Eduardo Fidalgo's work include Spam and Phishing Detection (12 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Digital Media Forensic Detection (9 papers). Eduardo Fidalgo is often cited by papers focused on Spam and Phishing Detection (12 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Digital Media Forensic Detection (9 papers). Eduardo Fidalgo collaborates with scholars based in Spain, India and Mexico. Eduardo Fidalgo's co-authors include Enrique Alegre, Laura Fernández-Robles, V́ıctor González-Castro, Rocío Aláiz-Rodríguez, Francisco Jáñez-Martino, Akanksha Joshi, Deisy Chaves, George Azzopardi, Abhishek Gangwar and A. Gangwar and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Eduardo Fidalgo

51 papers receiving 996 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
Eduardo Fidalgo Spain 18 469 345 246 195 150 56 1.1k
Yimin Chen China 17 301 0.6× 219 0.6× 378 1.5× 172 0.9× 140 0.9× 60 904
Yanming Zhu Australia 12 390 0.8× 135 0.4× 178 0.7× 135 0.7× 96 0.6× 23 734
Adrian Popescu France 17 512 1.1× 138 0.4× 504 2.0× 148 0.8× 147 1.0× 114 1.2k
Mostafa Dehghani Netherlands 17 797 1.7× 285 0.8× 444 1.8× 107 0.5× 50 0.3× 47 1.3k
Lu Ou China 17 518 1.1× 250 0.7× 87 0.4× 175 0.9× 245 1.6× 62 965
Muhammad Mostafa Monowar Saudi Arabia 21 297 0.6× 182 0.5× 170 0.7× 87 0.4× 318 2.1× 59 987
Mondher Bouazizi Japan 17 829 1.8× 285 0.8× 181 0.7× 92 0.5× 71 0.5× 73 1.2k
Yan Meng China 10 374 0.8× 220 0.6× 82 0.3× 270 1.4× 275 1.8× 48 774
Yiran Shen China 20 264 0.6× 175 0.5× 319 1.3× 143 0.7× 171 1.1× 78 1.1k

Countries citing papers authored by Eduardo Fidalgo

Since Specialization
Citations

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

Fields of papers citing papers by Eduardo Fidalgo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eduardo Fidalgo

This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo Fidalgo. A scholar is included among the top collaborators of Eduardo Fidalgo 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 Eduardo Fidalgo. Eduardo Fidalgo 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.
Fernández-Robles, Laura, et al.. (2025). Improving audio embeddings with squeeze-and-excitation: Introducing SaEENet. Knowledge-Based Systems. 324. 113875–113875.
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.
Fernández-Robles, Laura, et al.. (2023). MeWEHV: Mel and Wave Embeddings for Human Voice Tasks. IEEE Access. 11. 80089–80104. 4 indexed citations
7.
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
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.. (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
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). A survey on methods, datasets and implementations for scene text spotting. IET Image Processing. 16(13). 3426–3445. 1 indexed citations
12.
Fidalgo, Eduardo, et al.. (2022). Phishing URL Detection: A Real-Case Scenario Through Login URLs. IEEE Access. 10. 42949–42960. 53 indexed citations
13.
Jáñez-Martino, Francisco, et al.. (2022). Detecting malware using text documents extracted from spam email through machine learning. 1–4. 1 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.
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
16.
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 →
17.
Fidalgo, Eduardo, et al.. (2020). Rectification and Super-Resolution Enhancements for Forensic Text Recognition. Sensors. 20(20). 5850–5850. 4 indexed citations
18.
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
19.
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
20.
Fidalgo, Eduardo, et al.. (2018). Fusión temprana de descriptores extraídos de mapas de prominencia multi-nivel para clasificar imágenes. Revista Iberoamericana de Automática e Informática Industrial RIAI. 1 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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