Ruber Hernández-García

785 total citations · 2 hit papers
46 papers, 467 citations indexed

About

Ruber Hernández-García is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Safety Research. According to data from OpenAlex, Ruber Hernández-García has authored 46 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Signal Processing, 18 papers in Computer Vision and Pattern Recognition and 6 papers in Safety Research. Recurrent topics in Ruber Hernández-García's work include Biometric Identification and Security (18 papers), Forensic Fingerprint Detection Methods (6 papers) and Dermatoglyphics and Human Traits (5 papers). Ruber Hernández-García is often cited by papers focused on Biometric Identification and Security (18 papers), Forensic Fingerprint Detection Methods (6 papers) and Dermatoglyphics and Human Traits (5 papers). Ruber Hernández-García collaborates with scholars based in Chile, Colombia and Spain. Ruber Hernández-García's co-authors include Ricardo J. Barrientos, Marco Mora, José Naranjo-Torres, Claudio Fredes, Nicolás Guil, David Zabala‐Blanco, Juan Botero-Valencia, Xaviera A. López-Cortés, Francisco M. Castro and Daniel Peralta and has published in prestigious journals such as Expert Systems with Applications, Frontiers in Microbiology and Pattern Recognition.

In The Last Decade

Ruber Hernández-García

40 papers receiving 437 citations

Hit Papers

A Review of Convolutional Neural Network Applied to Fruit... 2020 2026 2022 2024 2020 2025 50 100 150 200 250
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. A Review of Convolutional Neural Network Applied to Fruit Image Processing
    2020 260 citations José Naranjo-Torres, Marco Mora et al. Applied Sciences profile →
  2. Machine Learning in Sustainable Agriculture: Systematic Review and Research Perspectives
    2025 17 citations Juan Botero-Valencia, Alejandro Valencia-Arías et al. Agriculture profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruber Hernández-García Chile 9 155 98 92 90 73 46 467
Ricardo J. Barrientos Chile 7 145 0.9× 94 1.0× 91 1.0× 95 1.1× 36 0.5× 42 409
Meili Sun China 7 162 1.0× 77 0.8× 84 0.9× 138 1.5× 71 1.0× 10 598
Asif Iqbal Khan India 8 162 1.0× 72 0.7× 56 0.6× 63 0.7× 28 0.4× 22 413
Muhammed Fahri Ünlerşen Türkiye 9 203 1.3× 82 0.8× 126 1.4× 195 2.2× 44 0.6× 15 658
S. M. Meena India 11 110 0.7× 105 1.1× 63 0.7× 109 1.2× 21 0.3× 53 418
K. Suganya Devi India 13 156 1.0× 165 1.7× 71 0.8× 57 0.6× 37 0.5× 53 489
Zhenyu Zhong China 13 159 1.0× 153 1.6× 46 0.5× 85 0.9× 23 0.3× 30 470
Shaomin Mu China 10 168 1.1× 57 0.6× 106 1.2× 76 0.8× 19 0.3× 31 356
Eunsoo Park South Korea 18 187 1.2× 171 1.7× 267 2.9× 34 0.4× 67 0.9× 55 753
Yu Pan China 7 113 0.7× 124 1.3× 36 0.4× 69 0.8× 35 0.5× 44 375

Countries citing papers authored by Ruber Hernández-García

Since Specialization
Citations

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

Fields of papers citing papers by Ruber Hernández-García

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruber Hernández-García. 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 Ruber Hernández-García. The network helps show where Ruber Hernández-García may publish in the future.

Co-authorship network of co-authors of Ruber Hernández-García

This figure shows the co-authorship network connecting the top 25 collaborators of Ruber Hernández-García. A scholar is included among the top collaborators of Ruber Hernández-García 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 Ruber Hernández-García. Ruber Hernández-García 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.
2.
Botero-Valencia, Juan, et al.. (2025). Machine Learning in Sustainable Agriculture: Systematic Review and Research Perspectives. Agriculture. 15(4). 377–377. 17 indexed citations breakdown →
3.
Pérez, Laura M., Liliana Pedraja-Rejas, Ruber Hernández-García, et al.. (2025). Characterization of quasi-periodic dynamics of a magnetic nanoparticle. Communications in Nonlinear Science and Numerical Simulation. 149. 108942–108942. 1 indexed citations
4.
Mora, Marco, et al.. (2025). A review of neural networks for metagenomic binning. Briefings in Bioinformatics. 26(2). 2 indexed citations
5.
López-Cortés, Xaviera A., et al.. (2024). MSDeepAMR: antimicrobial resistance prediction based on deep neural networks and transfer learning. Frontiers in Microbiology. 15. 1361795–1361795. 18 indexed citations
6.
Hernández-García, Ruber, et al.. (2024). Palm vein modeling for generating synthetic images with biometric purposes: a geometrical approach. Computational and Applied Mathematics. 43(3). 1 indexed citations
7.
Mora, Marco, et al.. (2024). A Review on Large-Scale Data Processing with Parallel and Distributed Randomized Extreme Learning Machine Neural Networks. Mathematical and Computational Applications. 29(3). 40–40. 2 indexed citations
8.
Mora, Marco, et al.. (2023). A comprehensive review of extreme learning machine on medical imaging. Neurocomputing. 556. 126618–126618. 12 indexed citations
9.
Zabala‐Blanco, David, Ruber Hernández-García, & Ricardo J. Barrientos. (2023). SoftVein-WELM: A Weighted Extreme Learning Machine Model for Soft Biometrics on Palm Vein Images. Electronics. 12(17). 3608–3608. 2 indexed citations
10.
Cabrera‐Barjas, Gustavo, Romel Jiménez, Romina Romero, et al.. (2023). Value-added long-chain aliphatic compounds obtained through pyrolysis of phosphorylated chitin. International Journal of Biological Macromolecules. 238. 124130–124130. 13 indexed citations
11.
12.
Hernández-García, Ruber, et al.. (2023). Mathematical Palm Vein Modeling for Large-Scale Biometric Recognition. 13. 1–7.
13.
Castro, Francisco M., et al.. (2023). AttenGait: Gait recognition with attention and rich modalities. Pattern Recognition. 148. 110171–110171. 18 indexed citations
14.
Hernández-García, Ruber, et al.. (2023). Palm Vein Image Quality Assessment through Natural Scene and Texture Statistics. 1–7. 1 indexed citations
15.
Hernández-García, Ruber, et al.. (2022). CNN-based Model for Gender and Age Classification based on Palm Vein Images. Repositorio Institucional de la Universidad de Málaga (University of Málaga). 1–6. 2 indexed citations
16.
Bragard, J., et al.. (2021). Study of type-III intermittency in the Landau–Lifshitz-Gilbert equation. Physica Scripta. 96(12). 124045–124045. 5 indexed citations
17.
Zabala‐Blanco, David, Marco Mora, Ricardo J. Barrientos, Ruber Hernández-García, & José Naranjo-Torres. (2020). Fingerprint Classification through Standard and Weighted Extreme Learning Machines. Applied Sciences. 10(12). 4125–4125. 18 indexed citations
18.
Barrientos, Ricardo J., et al.. (2020). Exhaustive similarity search on a many-core architecture for finger-vein massive identification. Journal of Physics Conference Series. 1702(1). 12012–12012.
19.
Hernández-García, Ruber, Fan Zhang, Xiaorong Zhang, He Huang, & Qing Yang. (2012). Promise of a low power mobile CPU based embedded system in artificial leg control. Journal of Media Literacy Education. 2012. 5250–5253. 6 indexed citations
20.
Guil, Nicolás, et al.. (2012). Object Detection with Vocabularies of Space-time Descriptors. Journal of Applied Research and Technology. 10(6). 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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