Raquel Lazcano

832 total citations
18 papers, 191 citations indexed

About

Raquel Lazcano is a scholar working on Media Technology, Radiology, Nuclear Medicine and Imaging and Atmospheric Science. According to data from OpenAlex, Raquel Lazcano has authored 18 papers receiving a total of 191 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Media Technology, 4 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Atmospheric Science. Recurrent topics in Raquel Lazcano's work include Remote-Sensing Image Classification (14 papers), Advanced Image Fusion Techniques (4 papers) and Advanced Chemical Sensor Technologies (4 papers). Raquel Lazcano is often cited by papers focused on Remote-Sensing Image Classification (14 papers), Advanced Image Fusion Techniques (4 papers) and Advanced Chemical Sensor Technologies (4 papers). Raquel Lazcano collaborates with scholars based in Spain, Italy and France. Raquel Lazcano's co-authors include Daniel Madroñal, Eduardo Juárez, Rubén Salvador, C. Sanz, Himar Fabelo, Samuel Ortega, Gustavo M. Callicó, Raúl Guerra, Sebastián López and Roberto Sarmiento and has published in prestigious journals such as IEEE Access, Sensors and Remote Sensing.

In The Last Decade

Raquel Lazcano

18 papers receiving 182 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raquel Lazcano Spain 8 71 53 42 35 25 18 191
Daniel Madroñal Spain 8 71 1.0× 54 1.0× 44 1.0× 35 1.0× 24 1.0× 21 196
David Helbert France 9 64 0.9× 17 0.3× 147 3.5× 25 0.7× 31 1.2× 28 249
Romulus Terebeş Romania 9 52 0.7× 15 0.3× 89 2.1× 22 0.6× 31 1.2× 44 284
Yinghua Fu China 10 34 0.5× 119 2.2× 151 3.6× 28 0.8× 52 2.1× 27 259
Abdelhamid Abdesselam Oman 9 30 0.4× 21 0.4× 80 1.9× 9 0.3× 57 2.3× 24 205
B. Sai Chandana India 8 41 0.6× 22 0.4× 92 2.2× 8 0.2× 83 3.3× 38 216
Przemysław Głomb Poland 7 94 1.3× 8 0.2× 54 1.3× 20 0.6× 31 1.2× 25 228
Jun Lyu China 9 83 1.2× 60 1.1× 159 3.8× 33 0.9× 41 1.6× 27 281
Worku Jifara China 5 68 1.0× 54 1.0× 132 3.1× 37 1.1× 43 1.7× 7 212
Yurun Ma China 8 38 0.5× 64 1.2× 137 3.3× 41 1.2× 116 4.6× 16 276

Countries citing papers authored by Raquel Lazcano

Since Specialization
Citations

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

Fields of papers citing papers by Raquel Lazcano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raquel Lazcano

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

All Works

18 of 18 papers shown
1.
Lazcano, Raquel, et al.. (2024). Fostering Agricultural Transformation through AI: An Open-Source AI Architecture Exploiting the MLOps Paradigm. Agronomy. 14(2). 259–259. 15 indexed citations
2.
Palumbo, Francesca, Raquel Lazcano, & Daniel Madroñal. (2023). Towards a living dimension: The future of cyber-physical systems. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
3.
Lazcano, Raquel, Daniel Madroñal, Raquel León, et al.. (2019). Parallel Implementations Assessment of a Spatial-Spectral Classifier for Hyperspectral Clinical Applications. IEEE Access. 7. 152316–152333. 10 indexed citations
4.
Madroñal, Daniel, Raquel Lazcano, Karol Desnos, et al.. (2019). PAPIFY: Automatic Instrumentation and Monitoring of Dynamic Dataflow Applications Based on PAPI. IEEE Access. 7. 111801–111812. 3 indexed citations
5.
Florimbi, Giordana, Himar Fabelo, Emanuele Torti, et al.. (2018). Accelerating the K-Nearest Neighbors Filtering Algorithm to Optimize the Real-Time Classification of Human Brain Tumor in Hyperspectral Images. Sensors. 18(7). 2314–2314. 30 indexed citations
6.
Lazcano, Raquel, Daniel Madroñal, Himar Fabelo, et al.. (2018). Adaptation of an Iterative PCA to a Manycore Architecture for Hyperspectral Image Processing. Journal of Signal Processing Systems. 91(7). 759–771. 8 indexed citations
7.
Lazcano, Raquel, José F. López, Daniel Madroñal, et al.. (2018). Implementation of the Principal Component Analysis onto High-Performance Computer Facilities for Hyperspectral Dimensionality Reduction: Results and Comparisons. Remote Sensing. 10(6). 864–864. 32 indexed citations
8.
Ortega, Samuel, Himar Fabelo, Rafael Camacho, et al.. (2017). P03.18 Detection of human brain cancer in pathological slides using hyperspectral images. Neuro-Oncology. 19(suppl_3). iii37–iii37. 3 indexed citations
9.
Salvador, Rubén, Himar Fabelo, Daniel Madroñal, et al.. (2017). High-level design using Intel FPGA OpenCL: A hyperspectral imaging spatial-spectral classifier. Acceda (Universidad de Las Palmas de Gran Canaria). 1. 1–8. 11 indexed citations
10.
Madroñal, Daniel, Raquel Lazcano, Rubén Salvador, et al.. (2017). SVM-based real-time hyperspectral image classifier on a manycore architecture. Journal of Systems Architecture. 80. 30–40. 26 indexed citations
11.
Madroñal, Daniel, Raquel Lazcano, Himar Fabelo, et al.. (2017). Energy consumption characterization of a Massively Parallel Processor Array (MPPA) platform running a hyperspectral SVM classifier. Acceda (Universidad de Las Palmas de Gran Canaria). 1–6. 4 indexed citations
12.
Salvador, Rubén, Samuel Ortega, Daniel Madroñal, et al.. (2017). HELICoiD. Acceda (Universidad de Las Palmas de Gran Canaria). 313–318. 5 indexed citations
13.
Lazcano, Raquel, Daniel Madroñal, Himar Fabelo, et al.. (2017). Parallel implementation of an iterative PCA algorithm for hyperspectral images on a manycore platform. Acceda (Universidad de Las Palmas de Gran Canaria). 62. 1–6. 2 indexed citations
14.
Lazcano, Raquel, Daniel Madroñal, Rubén Salvador, et al.. (2017). Porting a PCA-based hyperspectral image dimensionality reduction algorithm for brain cancer detection on a manycore architecture. Journal of Systems Architecture. 77. 101–111. 31 indexed citations
15.
Madroñal, Daniel, Raquel Lazcano, Himar Fabelo, et al.. (2016). Hyperspectral image classification using a parallel implementation of the linear SVM on a Massively Parallel Processor Array (MPPA) platform. Acceda (Universidad de Las Palmas de Gran Canaria). 3. 154–160. 3 indexed citations
16.
Lazcano, Raquel, Daniel Madroñal, Karol Desnos, et al.. (2016). Parallelism exploitation of a PCA algorithm for hyperspectral images using RVC-CAL. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10007. 100070H–100070H. 2 indexed citations
17.
Madroñal, Daniel, Himar Fabelo, Raquel Lazcano, et al.. (2016). Parallel implementation of a hyperspectral image linear SVM classifier using RVC-CAL. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10007. 1000709–1000709. 3 indexed citations
18.
Salvador, Rubén, Himar Fabelo, Raquel Lazcano, et al.. (2016). Demo: HELICoiD tool demonstrator for real-time brain cancer detection. Acceda (Universidad de Las Palmas de Gran Canaria). 17. 237–238. 2 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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