Laura Fernández-Robles
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- Industrial Vision Systems and Defect Detection 9
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- Advanced Image and Video Retrieval Techniques 11
- Image Retrieval and Classification Techniques 8
- Visual Attention and Saliency Detection 3
- Artificial Intelligence top 5%
- Topic Modeling 3
- Signal Processing top 10%
- Speech and Audio Processing 3
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- Advanced machining processes and optimization 5
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- Remote-Sensing Image Classification 4
- Co-authors
- Enrique AlegreEduardo FidalgoAkanksha JoshiManuel Castejón‐LimasHilde PérezJavier Díez-GonzálezGeorge AzzopardiLídia Sánchez-González
- Cited by
- Industrial and Manufacturing EngineeringComputer Vision and Pattern RecognitionArtificial Intelligence
- Journals
- International Journal of Molecular Sciences (1 paper)Expert Systems with Applications (3 papers)IEEE Access (2 papers)
- Partner nations
- SpainNetherlandsMexico
In The Last Decade
Laura Fernández-Robles
44 papers receiving 712 citations
Peers
Comparison fields: 5 of 91
- Industrial and Manufacturing Engineering 112
- Computer Vision and Pattern Recognition 190
- Artificial Intelligence 261
- Computer Graphics and Computer-Aided Design 23
- Signal Processing 55
Countries citing papers authored by Laura Fernández-Robles
This map shows the geographic impact of Laura Fernández-Robles'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 Laura Fernández-Robles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Fernández-Robles more than expected).
Fields of papers citing papers by Laura Fernández-Robles
This network shows the impact of papers produced by Laura Fernández-Robles. 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 Laura Fernández-Robles. The network helps show where Laura Fernández-Robles may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Laura Fernández-Robles, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 21 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 4 | |
| 7 | 2021 | 6 | |
| 8 | 2021 | 2 | |
| 9 | 2019 | 6 | |
| 10 | 2019 | 17 | |
| 11 | 2019 | 1 | |
| 12 | 2019 | 60 | |
| 13 | 2018 | 11 | |
| 14 | 2018 | 1 | |
| 15 | 2016 | 13 | |
| 16 | 2015 | 1 | |
| 17 | Design and implementation of an embedded system for image acquisition of inserts in a headtool machine | 2015 | 1 |
| 18 | 2015 | 14 | |
| 19 | 2014 | 25 | |
| 20 | 2008 | 40 |
About Laura Fernández-Robles
Laura Fernández-Robles is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Media Technology, having authored 47 papers that have together received 738 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (11 papers), Industrial Vision Systems and Defect Detection (9 papers), Image Retrieval and Classification Techniques (8 papers), Advanced machining processes and optimization (5 papers), Remote-Sensing Image Classification (4 papers), Speech and Audio Processing (3 papers), Visual Attention and Saliency Detection (3 papers) and Topic Modeling (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (112 citations), Computer Vision and Pattern Recognition (190 citations) and Artificial Intelligence (261 citations). Laura Fernández-Robles has collaborated with scholars based in Spain, Netherlands and Mexico. Frequent co-authors include Enrique Alegre, Eduardo Fidalgo, Akanksha Joshi, Manuel Castejón‐Limas, Hilde Pérez, Javier Díez-González, George Azzopardi, Lídia Sánchez-González, Nicolai Petkov and V́ıctor González-Castro. Their work appears in journals such as International Journal of Molecular Sciences, Expert Systems with Applications and IEEE Access.
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.