Aitor Álvarez-Gila

3.0k total citations · 4 hit papers
11 papers, 1.9k citations indexed

About

Aitor Álvarez-Gila is a scholar working on Plant Science, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Aitor Álvarez-Gila has authored 11 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Plant Science, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Media Technology. Recurrent topics in Aitor Álvarez-Gila's work include Smart Agriculture and AI (4 papers), Plant Disease Management Techniques (3 papers) and Advanced Image Processing Techniques (2 papers). Aitor Álvarez-Gila is often cited by papers focused on Smart Agriculture and AI (4 papers), Plant Disease Management Techniques (3 papers) and Advanced Image Processing Techniques (2 papers). Aitor Álvarez-Gila collaborates with scholars based in Spain, Germany and France. Aitor Álvarez-Gila's co-authors include Artzai Picón, Adrián Galdrán, David Pardo, Jone Echazarra, Amaia Ortiz‐Barredo, Unai Irusta, Sergio Rodríguez-Vaamonde, Ana María Díez-Navajas, Alfonso Medela and Arantza Bereciartúa-Pérez and has published in prestigious journals such as Physical Review Letters, PLoS ONE and Electrochimica Acta.

In The Last Decade

Aitor Álvarez-Gila

10 papers receiving 1.8k citations

Hit Papers

Automatic Red-Channel underwater image restoration 2014 2026 2018 2022 2014 2018 2017 2020 200 400 600
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. Automatic Red-Channel underwater image restoration
    2014 725 citations Adrián Galdrán, David Pardo et al. Journal of Visual Communication and Image Representation profile →
  2. Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild
    2018 367 citations Artzai Picón, Aitor Álvarez-Gila et al. Computers and Electronics in Agriculture profile →
  3. Automatic plant disease diagnosis using mobile capture devices, applied on a wheat use case
    2017 300 citations Artzai Picón, Aitor Álvarez-Gila et al. Computers and Electronics in Agriculture profile →
  4. Few-Shot Learning approach for plant disease classification using images taken in the field
    2020 248 citations Artzai Picón, Unai Irusta et al. Computers and Electronics in 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
Aitor Álvarez-Gila Spain 7 981 750 391 365 211 11 1.9k
Verónica Vilaplana Spain 16 441 0.4× 286 0.4× 125 0.3× 161 0.4× 169 0.8× 57 960
Jinrong He China 14 525 0.5× 146 0.2× 237 0.6× 120 0.3× 92 0.4× 71 1.0k
Pierre-Luc St-Charles Canada 11 247 0.3× 980 1.3× 95 0.2× 216 0.6× 79 0.4× 26 1.4k
Arturo Aquino Spain 20 507 0.5× 837 1.1× 189 0.5× 46 0.1× 237 1.1× 29 1.8k
Gensheng Hu China 18 947 1.0× 116 0.2× 412 1.1× 84 0.2× 291 1.4× 53 1.3k
Xijian Fan China 16 224 0.2× 287 0.4× 62 0.2× 55 0.2× 114 0.5× 39 831
Dong Liang China 19 792 0.8× 184 0.2× 322 0.8× 78 0.2× 367 1.7× 50 1.2k
S. Veni India 14 243 0.2× 185 0.2× 108 0.3× 117 0.3× 51 0.2× 73 715
Supreeth Achar United States 12 368 0.4× 383 0.5× 89 0.2× 68 0.2× 152 0.7× 21 860
Man Zhou China 22 287 0.3× 952 1.3× 91 0.2× 685 1.9× 50 0.2× 80 1.5k

Countries citing papers authored by Aitor Álvarez-Gila

Since Specialization
Citations

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

Fields of papers citing papers by Aitor Álvarez-Gila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aitor Álvarez-Gila. 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 Aitor Álvarez-Gila. The network helps show where Aitor Álvarez-Gila may publish in the future.

Co-authorship network of co-authors of Aitor Álvarez-Gila

This figure shows the co-authorship network connecting the top 25 collaborators of Aitor Álvarez-Gila. A scholar is included among the top collaborators of Aitor Álvarez-Gila 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 Aitor Álvarez-Gila. Aitor Álvarez-Gila is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Gajjala, Rajendra Kumar Reddy, E. Fernández, Jean‐Yves Hihn, et al.. (2025). Image-based analysis of electrochromic materials: Gamma correction with a LEGO luminance checker. Electrochimica Acta. 525. 146062–146062. 1 indexed citations
2.
Ban, Yue, et al.. (2024). Automatic Detection of Nuclear Spins at Arbitrary Magnetic Fields via Signal-to-Image AI Model. Physical Review Letters. 132(15). 150801–150801.
3.
4.
Picón, Artzai, Aitor Álvarez-Gila, Unai Irusta, & Jone Echazarra. (2020). WHY DEEP LEARNING PERFORMS BETTER THAN CLASSICAL MACHINE LEARNING?. DYNA. 95(1). 119–122. 20 indexed citations
5.
Picón, Artzai, et al.. (2020). Few-Shot Learning approach for plant disease classification using images taken in the field. Computers and Electronics in Agriculture. 175. 105542–105542. 248 indexed citations breakdown →
6.
Picón, Artzai, Unai Irusta, Aitor Álvarez-Gila, et al.. (2019). Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia. PLoS ONE. 14(5). e0216756–e0216756. 57 indexed citations
7.
Álvarez-Gila, Aitor, Adrián Galdrán, Estíbaliz Garrote, & Joost van de Weijer. (2019). Self-supervised blur detection from synthetically blurred scenes. Image and Vision Computing. 92. 103804–103804. 5 indexed citations
8.
Picón, Artzai, et al.. (2019). Crop conditional Convolutional Neural Networks for massive multi-crop plant disease classification over cell phone acquired images taken on real field conditions. Computers and Electronics in Agriculture. 167. 105093–105093. 152 indexed citations
9.
Picón, Artzai, et al.. (2018). Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild. Computers and Electronics in Agriculture. 161. 280–290. 367 indexed citations breakdown →
10.
Picón, Artzai, Aitor Álvarez-Gila, Jone Echazarra, et al.. (2017). Automatic plant disease diagnosis using mobile capture devices, applied on a wheat use case. Computers and Electronics in Agriculture. 138. 200–209. 300 indexed citations breakdown →
11.
Galdrán, Adrián, David Pardo, Artzai Picón, & Aitor Álvarez-Gila. (2014). Automatic Red-Channel underwater image restoration. Journal of Visual Communication and Image Representation. 26. 132–145. 725 indexed citations breakdown →

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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